Fraud Analytics Jobs in Bengaluru
713 Jobs Found
Product Manager - Payments
Tazapay
Product Manager Payments Location: Bengaluru Work Type: Full Time Experience: 2 6 years About Tazapay Tazapay is a leading fintech platform for cross-border businesses. We provide local and global collections, holding, and payouts across multiple markets. As we expand into the digital asset ecosystem, we are building comprehensive crypto and stablecoin payment solutions to meet the growing demand for blockchain-based cross-border transactions. About the Team At Tazapay, product development is highly collaborative, involving engineering, design, partnerships, legal, risk, operations, and go-to-market teams. The cross-border payment platform team owns the core features of Tazapay s Payment Platform, including Payins, Payouts, and crypto/stablecoin infrastructure. Role Overview As Product Manager Payments, you will lead the design, development, and launch of global payment rails across both traditional and crypto/stablecoin systems. You will ensure enterprises can successfully build and operate payment operations using Tazapay s platform, bridging fiat and digital asset ecosystems. Key Responsibilities Design and launch crypto/stablecoin payment flows, including digital wallet integrations, stablecoin/blockchain settlements, and multi-chain payment solutions. Drive feature development and market launches for stablecoins like USDC, USDT, and emerging stablecoins across blockchains such as Ethereum, Polygon, and Solana. Collaborate closely with engineering, legal, sales, support, and compliance teams throughout the product lifecycle to deliver seamless payment experiences. Integrate traditional banking rails with crypto payment options, providing merchants with unified access across all payment types. Navigate and ensure compliance with global crypto regulations, working with legal and compliance teams on AML/KYC, licensing, and emerging regulatory requirements. Use a data-driven approach to analyze blockchain transactions, payment metrics, and user behavior to optimize product performance. Who You Are Minimum Requirements 2 6 years of product management experience, with at least 2 years in fast-paced fintech or crypto startups. Hands-on experience with crypto/blockchain integrations, stablecoins, wallet connectivity, smart contracts, or digital asset payment systems. Deep understanding of stablecoin ecosystems (USDC, USDT, DAI, and algorithmic stablecoins) and their underlying mechanisms. Expertise in financial API design with experience in both traditional and blockchain/crypto API integrations. Strong technical understanding of blockchain fundamentals: transaction lifecycles, gas optimization, multi-chain architecture, and consensus mechanisms. Knowledge of crypto compliance requirements and emerging global regulatory frameworks (AML/KYC, licensing, etc.). Analytical mindset with ability to leverage blockchain and payment data to drive product decisions. Preferred Qualifications Degree in Computer Science, Engineering, Finance, or related field, with blockchain coursework or certifications. Proven track record of launching successful crypto/stablecoin payment products or features at scale. Hands-on experience with major blockchain networks, ecosystems, development tools, and integration patterns. Experience collaborating with crypto exchanges, wallet providers, or blockchain infrastructure companies. Qualification : Degree in Computer Science, Engineering, Finance, or related field, with blockchain coursework or certifications
Analytics Engineer
Postman
Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.
Senior Manager/associate Director - Risk & Compliance
Cashfree Payments India Private Limited
Position: Senior Manager / Associate Director Risk & Compliance Location: Bengaluru Employment Type: Full-Time Department: Risk & Compliance Role Overview: Cashfree Payments is looking for a seasoned professional to join as Senior Manager / Associate Director Risk & Compliance. This leadership role focuses on developing and implementing strong policies and frameworks to manage financial crime risks such as Anti-Money Laundering (AML) and fraud prevention, while ensuring compliance with regulatory mandates. The role also includes handling inquiries from law enforcement agencies and banks, managing merchant dues recovery, and overseeing regulatory change implementation. Key Responsibilities: Policy Development & Oversight: Develop, enhance, and oversee comprehensive policies and procedures for financial crime risk management, including AML, fraud detection, and prevention strategies. Ensure product-level interventions align with risk mitigation goals. Relationship Management: Manage relationships with banking partners from a risk and compliance perspective. Ensure adherence to VISA, RBI, and NPCI guidelines. Risk Management: Strengthen preventive and detective controls to effectively mitigate financial crime risks within Cashfree Payments ecosystem. Regulatory Compliance: Monitor and ensure full compliance with applicable laws, regulations, and guidelines by implementing necessary process and policy updates. Monitoring & Reporting: Establish and maintain monitoring frameworks for suspicious activities and ensure timely reporting to regulatory authorities and internal stakeholders. Team Leadership: Lead and mentor the financial crime risk team, fostering a strong culture of compliance and risk awareness across the organization. Qualifications & Experience: Bachelor s or advanced degree in Law, Finance, Business Administration, or a related field. 8-10 years of relevant experience in policy development, fraud strategy, and financial crime risk management within fintech or financial services sectors. In-depth understanding of Indian regulatory frameworks related to financial crime and compliance. Exceptional stakeholder management skills, with proven ability to engage effectively with regulators, internal tech/product teams, and banking partners. Strong analytical skills with a data-driven approach to decision-making. Demonstrated leadership experience in managing cross-functional teams and driving organizational change initiatives. Qualification : Bachelors or advanced degree in Law, Finance, Business Administration, or a related field
Assistant Manager - Process Design
Zeta
Job Title: Assistant Manager Process Design Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a Next-Gen Banking Tech company empowering banks and fintechs to launch innovative financial products. Co-founded by Bhavin Turakhia and Ramki Gaddipati in 2015, Zeta s flagship platform Zeta Tachyon is the industry s first modern, cloud-native, fully API-enabled banking stack. With over 15 million cards issued globally, Zeta Tachyon enables: Seamless, digital-first cardholder experiences Embeddable banking support for partners Hyper-personalized card programs Rapid product launches through web-based configurators Robust compliance and fraud management capabilities Zeta is working with major banks and fintechs globally and has 1,700+ employees, with 70% in R&D. The company raised $280M at a $1.5B valuation in 2021, backed by SoftBank, Mastercard, and other top investors. Role Overview: We are looking for an Assistant Manager Process Design who will drive automation, process transformation, and customer experience optimization. This role involves working closely with Product, Engineering, and Operations teams to build scalable and efficient customer support processes. Key Responsibilities: Identify opportunities for automation and process improvements and create a transformation roadmap. Design intuitive chatbot customer flows to enhance digital experience. Re-engineer existing processes to improve First Time Resolution (FTR) and overall customer satisfaction (CSAT). Set up proactive monitoring for customer journey leakages and coordinate with relevant teams for quick resolution. Establish a robust Voice of Customer (VOC) mechanism using inputs from multiple channels (email, chat, NPS, social media). Define and implement strategic process transformation initiatives to enhance the customer journey. Lead cross-functional efforts with Product, Engineering, and Operations to deliver process excellence. Support recovery work when necessary, ensuring business continuity. Deliver timely status updates to management and project stakeholders. Required Skills & Competencies: 2 4 years of experience in Process Design, Process Excellence, or Operational Transformation. Background in Operational Metrics (CSAT, AHT, FTR, Re-opens, FRT). Strong knowledge of Excel and PowerPoint. Six Sigma certification (preferably Black Belt) and experience with Lean methodologies. Familiarity with AI, automation, and digital tools in customer support. Excellent analytical and critical thinking abilities. Strong decision-making skills in real-time scenarios. Proven ability to work with multiple stakeholders to drive results. Excellent verbal and written communication skills. Qualifications: Bachelor s Degree (B.E./B.Tech) or a Postgraduate Degree / MBA in a relevant field. Equal Opportunity Employer: Zeta celebrates diversity and is committed to creating an inclusive environment for all. We welcome applicants from all backgrounds, cultures, and communities and believe a diverse workforce is key to our success. Qualification : Bachelors Degree (B.E./B.Tech) or a Postgraduate Degree / MBA in a relevant field
Manager - Data Analytics, Credit Card Portfolios
Zeta
Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field
Manager - Risk Containment Unit
Bajaj Finance
Position: Manager Risk Containment Unit (RCU) Department: Prevention B2C Location: Pune Experience Required: 1 2 years Minimum Qualification: Graduate or Postgraduate (Any discipline) Job Overview: This position is with Bajaj Finance Ltd. We are seeking a sharp, detail-oriented professional to manage risk and fraud prevention for our Payments business, specifically focusing on our Acquiring QR portfolio. The role spans the full risk lifecycle from onboarding assessments to transaction and portfolio monitoring ensuring early fraud detection and swift risk mitigation. Key Responsibilities: Take complete ownership of risk and fraud management for the Acquiring QR business Conduct thorough onboarding risk checks, ongoing transaction monitoring, and portfolio surveillance Perform daily reviews of risk-triggered cases based on transaction patterns, business verifications, and merchant calls Update internal systems with actions taken and maintain accurate records Generate daily, weekly, and monthly reports highlighting trends, anomalies, and operational efficiency Collaborate with business, operations, and data teams to improve fraud controls and enhance process effectiveness Recommend improvements to risk mitigation strategies based on real-time data and fraud patterns Key Decision Areas: Assess merchant risk based on transaction behavior and documentation Make decisions regarding merchant deactivation/reactivation based on risk evaluations Major Challenges: Achieving 100% monitoring accuracy with zero tolerance for error Responding to fraud situations with agility and decisive action Continually optimizing the process for better risk containment and operational efficiency Required Qualifications & Skills: Education: Graduate or Postgraduate in any discipline; understanding of the payments business is a strong advantage Experience: 1 2 years of experience in risk operations, document verification, or calling roles within NBFCs or banks Proficiency in Advanced Excel for data analysis and reporting Familiarity with Salesforce (SFDC) is essential Strong analytical and decision-making skills Attention to detail and ability to handle high-pressure situations with composure Qualification : Graduate or Postgraduate (Any discipline)
Assistant Manager - Risk
Groww
Position: Assistant Manager - Risk Location: Bengaluru About Groww At Groww, we are a passionate team dedicated to making financial services accessible to every Indian. Through our multi-product platform, we help millions of customers take control of their financial journeys. Customer obsession is at the heart of everything we do. From every product design to each algorithm, we focus on delivering the best experience, making financial services simple, transparent, and convenient. Our values include ownership, customer-centricity, and integrity. We believe in constantly challenging the status quo to drive meaningful change. Our Vision We aim to empower every individual with the knowledge, tools, and confidence to make informed financial decisions. Groww s long-term vision is to be India s most trusted financial partner, offering innovative financial solutions across various services. Our Core Values Radical Customer Centricity Ownership-Driven Culture Simplicity Long-Term Thinking Complete Transparency About the Role We re looking for a highly motivated Risk Manager to join our team and play a crucial role in overseeing the development and implementation of the operational risk management framework across the organization. In this role, you will collaborate with cross-functional teams, senior leadership, and external stakeholders to identify, assess, and mitigate risks effectively. The ideal candidate will have a strong problem-solving mindset, excellent analytical skills, and a proven track record of managing risk in a result-oriented environment. As a Risk Manager, you will contribute to shaping a robust risk culture and ensuring smooth operations within the organization. Key Responsibilities: Risk Identification & Assessment: Perform risk identification and assessments across various functions, and recommend process changes to mitigate operational risks. Cross-Functional Collaboration: Work closely with teams like Credit, Risk, Compliance, and Technology to implement effective risk mitigation strategies. Monitoring & Reporting: Track and analyze key risk indicators, and provide regular updates to management and stakeholders. Risk Committee Coordination: Lead and orchestrate Monthly Risk Committee meetings, providing insightful reports to senior leadership and key stakeholders. Incident Management: Examine reported incidents and validate the implementation of corrective and preventive actions. Audit Coordination: Collaborate with internal audit teams to align risk management efforts with audit activities. Root Cause Analysis: Conduct root cause analysis (using methods like 5 Whys, Fishbone, etc.) to identify corrective and preventive actions. Risk Awareness & Training: Conduct training sessions to promote risk awareness and adherence to risk management practices across the organization. Required Skills & Expertise: Experience: 2-5 years of experience in operational risk management, preferably within the financial industry. Risk Assessment & Mitigation: Deep knowledge of risk assessment methodologies and risk mitigation strategies. Regulatory Knowledge: Clear understanding of regulatory requirements related to risk management. Audit Knowledge: Familiarity with auditing principles and standards (e.g., ISO, CMMI). Problem-Solving: Strong analytical skills and the ability to solve complex problems with a detail-oriented approach. Communication Skills: Excellent interpersonal and communication skills to collaborate with senior leaders, cross-functional teams, and external stakeholders. Ownership & Responsibility: A high level of accountability and ownership in driving initiatives to completion. Qualifications: Educational Background: Graduate degree (CA, MBA from a Tier 1 Institute preferred). Technical Skills: Strong proficiency in Excel (knowledge of SQL will be an added advantage). Certifications (Preferred): Knowledge of internal and external audit standards like ISO, CMMI, etc. Impact: Shape the future of risk management in one of India s fastest-growing financial services platforms. Growth Opportunities: Take ownership of key risk management projects and contribute to the company s overall strategy. Culture: Work in a collaborative, transparent, and innovative environment where your contributions are valued. If you're passionate about risk management and want to make a significant impact in a fast-growing fintech company, we d love to hear from you. Qualification : Graduate degree (CA, MBA from a Tier 1 Institute preferred)
Manager - Analytics
Subex Limited
Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.
Senior Test Engineer
Subex Limited
Position: Senior QA Engineer (Automation & Telecom) Location: Bangalore, Karnataka, India Department: Advanced Analytics Experience: 3 - 6 Years We're looking for a Senior QA Engineer with 3-6 years of experience, specializing in both automation and manual testing within the telecom domain. If you're proficient with Playwright and understand CI/CD pipelines, you're the ideal candidate to join our Advanced Analytics team. Key Responsibilities: Automate test cases using Playwright for web applications. Conduct manual testing for telecom functionalities (performance, stability). Design and write detailed test cases based on requirements. Manage test execution, defect tracking, and reporting. Collaborate with teams to validate system behavior. Integrate automation into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps). Ensure quality gates are met before production releases. Perform regression testing, UAT support, and production troubleshooting. Skills You Need: 3+ years QA experience (manual & automation). Strong Playwright or similar automation framework experience. Telecom project experience (BSS/OSS, network provisioning, fraud management, etc.). Knowledge of CI/CD tools (Jenkins, GitLab CI/CD, Azure DevOps). Proficiency in JIRA, TestRail, or similar tools. Familiarity with JavaScript/TypeScript or Python. Experience with Agile/Scrum. Nice to Have: API testing (Postman, REST-assured). Git version control. Cloud platform exposure (AWS, Azure).
Data Science Intern Analytics, Automation & Problem Solving
5c Network Pvt. Ltd.
Position: Data Science Intern Analytics, Automation & Problem Solving Location: Bangalore On-site Duration: 3 6 months Internship Experience: Final-year students or recent graduates About the Role: We re seeking a high-agency intern passionate about data and obsessed with solving real-world problems. At 5C Network, data goes beyond analysis it drives systems, operations, and healthcare outcomes. Join our Data Science & Analytics team to go beyond dashboards: own challenges, build automations, and work with data impacting thousands of lives. What You ll Work On: Complex Querying & Data Handling: Write and optimize high-performance SQL queries on large healthcare datasets (PostgreSQL, ClickHouse), troubleshoot discrepancies, and ensure data reliability. Python-based Data Transformation: Clean, manipulate, and transform raw data using Pandas and NumPy; contribute to backend scripts powering dashboards and reports. Dashboarding & Reporting: Assist in creating intuitive dashboards (Metabase, Power BI, Google Data Studio) used for operational, product, and clinical decision-making. Automations & Workflows: Identify repetitive tasks and automate processes with Python, APIs, and reporting tools. Advanced Applications: Collaborate on projects involving natural language data, smart assistants, and auto-triggered insights to enhance decision-making intelligence. Business Context Awareness: Understand the purpose behind every metric focus on solving impactful business problems, not just queries. What We Expect from You: Strong command of SQL with skills in query optimization, debugging, and managing complex data logic. Solid Python skills for data tasks (Pandas, NumPy, scripting). Comfort working with real-world messy data, databases, and schemas. Curiosity and initiative: Investigate anomalies rather than ignoring them. Business-first mindset: Always question the meaning behind metrics. High ownership: Proactively explore, propose solutions, and take charge without waiting for perfect instructions. Willingness to learn and stretch whether automating reports, building tools, or mastering new skills daily. Nice to Have: Experience with APIs, backend data workflows, or FastAPI. Familiarity with Git and data visualization platforms. Interest in healthcare or operations-heavy environments. Exposure to LLMs, text analytics, or no-code/low-code tools (even exploratory). Why This Internship is Different: Real projects with real impact on national healthcare delivery. Exposure to full-stack analytics from pipelines to dashboards to business strategy. Mentorship from experienced data scientists and engineers. Potential opportunity for full-time conversion based on performance. Perks: Paid internship with a stipend. Certificate of completion and potential pre-placement offer. Office located in Bangalore s vibrant startup and health-tech hub.
Intern, Analytics Engineer
Workato
Position: Intern, Analytics Engineer Location: Bangalore, India Duration: Minimum 6 months commitment About Workato Workato is a leader in enterprise orchestration, helping businesses worldwide connect data, processes, and applications through an AI-powered platform. Trusted by 400,000+ customers, Workato enables organizations to drive efficiency and agility in today s fast-changing landscape. Recognized by Business Insider, Forbes, Deloitte, and Quartz for its innovation and workplace culture, Workato fosters a flexible, trust-based environment. Opportunity to work in a vibrant, innovative culture that balances productivity and self-care. Be part of a fast-growing tech company ranked among the fastest-growing and best for remote work. Take ownership and collaborate with passionate teams driving meaningful business impact. Your Responsibilities Build efficient data models that support analysis and key metrics for internal stakeholders. Optimize analytical workflows with macros, scripts, and packages to improve productivity. Design and develop frontend analytics solutions reports, dashboards, and interfaces to drive data-informed decision making. Contribute to Data Governance initiatives by improving processes. Collaborate with business stakeholders to understand data challenges and develop actionable solutions. Support operational needs across various business units. What You ll Need Currently pursuing a degree in Business Analytics, Information Systems, or a related field. Strong understanding of database concepts (e.g., Entity-Relationship Diagrams). Intermediate SQL skills including joins, CTEs, and window functions. Experience with Business Intelligence tools such as Tableau, Power BI, or Sigma Computing. Experience or familiarity with ELT scripting and tools like Snowflake and dbt Cloud is a plus. Personal Traits Fast learner, adaptable, and comfortable in a fast-paced environment. Excellent organizational and multitasking abilities. Strong analytical skills with clear verbal and written communication to present insights effectively. Collaborative team player with a growth mindset and proactive attitude.
Assistant Manager - Process Design
Zeta
Job Title: Assistant Manager Process Design Location: Bangalore, India Employment Type: Full-time About Zeta Zeta is a Next-Gen Banking Tech company empowering banks and fintechs to launch modern, cloud-native financial products at speed and scale. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform, Tachyon, is the world s first modern, API-first banking stack supporting issuance, processing, lending, core banking, fraud, risk, and more all under one roof. With over 15 million cards issued on its platform globally, Zeta partners with leading banks and fintechs to deliver digital-first experiences, hyper-personalized programs, and rapid product innovation. We are a global team of 1700+ employees, with more than 70% dedicated to R&D, and are backed by major investors including SoftBank and Mastercard, with a valuation of $1.5 billion. Role Summary Zeta is seeking a driven and analytical Assistant Manager Process Design to spearhead customer journey improvements and process automation. You will be responsible for transforming customer-facing processes to enhance user experience, improve operational efficiency, and contribute to strategic initiatives across Product, Engineering, and Operations teams. Key Responsibilities Process Automation & Transformation: Identify improvement areas, create transformation roadmaps, and implement automation strategies to enhance service delivery. Customer Journey Mapping: Design chatbot flows and other digital experiences to ensure seamless, intuitive customer interactions. Continuous Improvement: Evaluate and re-engineer existing workflows to increase First Time Resolution (FTR), reduce Average Handling Time (AHT), and drive CSAT. Monitoring & Proactive Support: Establish early-warning systems and collaborate cross-functionally to prevent and address service issues. Voice of Customer (VOC): Build robust VOC mechanisms by analyzing feedback from email, chat, NPS, social media, etc., to drive actionable improvements. Strategic Initiatives: Lead cross-functional initiatives with Product, Engineering, and Business Ops to elevate customer experience and operational excellence. Project Reporting: Deliver timely and detailed project updates and reports to stakeholders and leadership. Skills & Competencies Experience in Process Design, Process Excellence, Automation, or Operational Excellence. Prior work with Customer Support teams and KPIs like CSAT, AHT, FTR, Reopens, and First Response Time. Proficiency in Microsoft Excel and PowerPoint for analytics and presentations. Working knowledge of Six Sigma (preferred: Black Belt), Lean methodologies, and digital tools. Familiarity with AI, chatbots, workflow tools, and digital customer experience technologies. Strong analytical thinking, decision-making, and stakeholder management skills. Exceptional communication skills, both verbal and written. Qualifications & Experience Education: BE/B.Tech or Postgraduate/MBA from a recognized institution. Experience: 2 4 years in a relevant role involving process optimization or customer journey transformation. At Zeta, we believe People Must Grow. You ll work with brilliant minds, cutting-edge technologies, and game-changing products. Our culture promotes innovation, continuous learning, and an inclusive workplace where every individual is valued. Equal Opportunity Statement Zeta is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees regardless of background, gender, religion, ethnicity, or identity. Qualification : BE/B.Tech or Postgraduate/MBA from a recognized institution.
Senior Manager Data Science, Data Modelling & Analytics
Merkle B2b
Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.
Senior Operations Analyst (kyc)
Kredx
Senior Operations Analyst (KYC) Location: Bangalore Experience: 5+ Years Company: KredX About KredX Founded in 2015, KredX has evolved into a comprehensive financial solutions ecosystem. We are India's leading integrated supply chain finance provider, holding both RBI s TReDS license and IFSCA s ITFS license one of the few double-licensed entities in the country. Our flagship platforms include: DTX (Domestic Trade Exchange): RBI-licensed TReDS platform enabling MSME financing via invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform facilitating cross-border trade finance. CMS (Cash Management Solutions): AI-driven finance automation streamlining financial operations globally. KredX powers businesses of all sizes with innovative, technology-driven financial solutions. Role Overview We are seeking a highly skilled and detail-oriented Senior KYC Analyst to lead the Know Your Customer (KYC) processes within our Operations team at DTX. This role is critical in ensuring full regulatory compliance while maintaining the integrity of our client relationships. You will drive enhancements in our KYC framework, conduct detailed risk assessments, and provide strategic direction on customer due diligence. Key Responsibilities Lead and manage the end-to-end KYC process, including customer identification, verification, risk assessment, and ongoing monitoring. Conduct in-depth investigations of customer backgrounds, transactions, and compliance to identify risks and suspicious activities. Develop, implement, and continuously improve KYC policies and procedures in line with regulatory requirements and industry best practices. Collaborate with compliance, legal, and operations teams to resolve KYC-related issues and streamline processes. Mentor and train junior analysts, fostering a culture of compliance, accuracy, and continuous improvement. Stay abreast of regulatory updates and emerging trends in financial services, adapting KYC strategies proactively. Required Qualifications & Experience Minimum 5 years experience in KYC, AML, or related compliance roles in financial services. At least 3 years experience working within a TReDS framework is preferred. Strong knowledge of KYC regulations, customer due diligence, and risk assessment methodologies. Proven analytical skills to evaluate complex data and generate actionable risk insights. Excellent communication skills, able to clearly present findings to varied stakeholders. Preferred Qualifications Experience using KYC software platforms such as Actimize, Amlify, or similar tools. Professional certifications like CAMS (Certified Anti-Money Laundering Specialist) or CFE (Certified Fraud Examiner). Familiarity with global financial regulations and international compliance adaptation. Technical Skills & Tools Proficiency in data analysis tools including SQL and advanced Excel functions for investigations and reporting. Experience with risk assessment frameworks related to KYC compliance. Understanding of regulatory reporting requirements and compliance tools.
Data Scientist -i
Meesho
Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields
Data Scientist Ii
Meesho
Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field
Data Scientist III
Meesho
Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field
Principal Data Scientist/Data Science Manager - Ads Team
Meesho
Principal Data Scientist / Data Science Manager Ads Team Location: Bangalore, Karnataka | Department: Tech Shape the Future of AdTech at Meesho Join Meesho s high-impact Data Science team often compared to the Avengers for our ability to solve some of the toughest data problems in India s e-commerce landscape. We build intelligent, scalable systems that serve millions of users across diverse product categories. Our work in fraud detection, inventory optimization, and platform vernacularization continues to unlock new possibilities in digital commerce. Now, as part of our Ads team, we re seeking a visionary Principal Data Scientist / Data Science Manager to elevate our advertising technology through cutting-edge machine learning solutions. About the Role As a leader within our AdTech division, you ll design, implement, and scale innovative ML solutions for real-time bidding, ad ranking optimization, budget pacing, and performance measurement. Your work will drive business impact and help define the future of our monetization strategy. Key Responsibilities Design and develop advanced bidding and budget pacing algorithms to optimize ad spend and ROI Create experimental frameworks to measure ad effectiveness and attribution Collaborate cross-functionally to transform business needs into efficient AI/ML-based solutions Define and communicate the long-term data science roadmap with business and tech leadership Mentor junior data scientists and guide team-level strategy Lead research initiatives in ML, auction theory, and AdTech domains Required Qualifications B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience Strong expertise in auction theory, predictive modeling, causal inference, and reinforcement learning Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Experience with big data tools and environments Proven ability to mentor teams and manage complex analytical projects Excellent written and verbal communication skills Preferred Qualifications M.Tech or Ph.D. in Computer Science or related discipline with ML specialization 3+ years of experience working in AdTech, real-time bidding systems, or programmatic advertising Track record of taking ML research to production Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI) About Meesho Meesho is India s top-rated e-commerce workplace and the first Indian horizontal e-commerce platform. We empower over 1.75 million sellers and serve customers across every serviceable pincode in India. Our platform enables small businesses and entrepreneurs to thrive online by offering zero commission, lowest shipping cost, and state-of-the-art logistics support. We combine local relevance with a strong technology backbone to deliver a uniquely inclusive shopping experience. Our Mission Democratizing Internet Commerce for Everyone We aim to enable 100 million small businesses to sell online. Our seller-first approach, innovation-first culture, and focus on the underserved population of Bharat drive everything we do. Our Culture & Benefits At Meesho, we ve built a people-first, high-performance culture backed by 11 guiding principles (our "Mantras"). Our employees benefit from a workplace that encourages reflection, continuous growth, and mobility. What We Offer: Competitive compensation including equity options and performance bonuses Comprehensive wellness support via our MeeCare Program medical, mental, and financial wellbeing Flexible benefits, including generous leave policies, parental support, and L&D assistance Support with relocation, telehealth, fitness, and recreational discounts Frequent engagement activities, performance recognition, and a fun, inclusive environment If you are ready to lead transformative projects in advertising and machine learning at scale, apply today and help us redefine commerce in India. Apply now and join Meesho s Data Science revolution. Qualification : B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience
Audit Officer/executive
Pharmed Limited
Audit Officer/Executive Location: Rajkot Key Skills: Internal Audit, Control Audit, Operational Audit Education: B.Com, M.Com, MBA, or CA/ICWA Inter Experience: Minimum 4-5 years in an Audit Firm or Internal Audit Department Gender Preference: Male candidates are preferred due to the travel requirements. Travel Requirement: Willingness to travel regularly to company warehouse, CFA/CSA locations for audit purposes. Role Overview We are looking for an Audit Officer/Executive to join our team. This role is vital in performing internal and operational audits across various business functions. The successful candidate will be responsible for conducting critical business process audits, preparing audit findings, and assisting in improving internal processes and policies. This position will also require extensive travel to various company locations for surprise audits and monitoring. Key Responsibilities Critical Business Process Audits: Conduct audits of key business processes such as third-party procurement, supply chain, affiliation, HRD, commission structures, brand reminder purchases, freight bills, travel claims, and training expenses (DN/CN). Process & SOP Audits: Assist in reviewing processes, conducting SOP audits, and evaluating internal policies and limits of authority to ensure compliance and operational efficiency. Statutory Payments Audit: Audit statutory payments to ensure compliance with legal and regulatory requirements. Stock Audits: Perform periodic stock audits at warehouses to ensure accurate inventory records and assess stock management processes. Surprise Audits: Travel to CFA/CSA locations for surprise audits as required, ensuring integrity and compliance with policies in remote locations. Reporting & Documentation: Document audit activities thoroughly, prepare clear audit findings reports, and ensure all audit processes and results are well-documented. Maintain and manage audit-related documents, including query sheets and the resolutions to those queries. Follow-Up Audits: Conduct follow-up audits to monitor the implementation of corrective actions identified in previous audits. Risk Identification & Cost-Saving: Identify loopholes in processes, recommend risk aversion measures, and suggest cost-saving initiatives to improve operational efficiency. Knowledge Development: Stay updated on rules, regulations, best practices, and new audit tools and techniques to ensure consistent improvement and development in audit standards and performance. Skills & Qualifications Educational Qualifications: Experience: At least 4-5 years of experience working in an audit firm or within an internal audit department. Core Skills: Strong knowledge and experience in internal audit, control audits, and operational audits. Strong understanding of business processes, including procurement, HR, supply chain, and statutory payments. Technical Skills: Proficient in Microsoft Office (Excel, Word, PPT) for audit documentation and reporting. Ability to prepare and present audit findings and reports effectively. Communication Skills: Excellent oral and written communication skills. Attention to Detail: Strong attention to detail and the ability to identify risks, inefficiencies, and cost-saving opportunities. Travel Flexibility: Willingness and readiness to travel extensively to various CFA/CSA locations for surprise audit assignments as needed. This is an excellent opportunity for a seasoned audit professional to join a growing organization where you can expand your career in a diverse and dynamic role. You ll gain exposure to multiple business processes and industries while working with a team of experienced professionals. We provide an open and collaborative work environment, with ample opportunities for learning and career advancement. Qualification : B.Com, M.Com, MBA, or CA/ICWA Inter.
Manager - Credit Card Acquisition
Jupiter Money
At Jupiter, we understand that money is more than just a subject it s a part of life that evokes emotions. Our mission is to help people improve their relationship with money. As a modern financial services platform, we leverage technology to offer seamless and user-friendly products across banking, loans, and investments. From savings accounts and credit cards to investments and payments, everything is made simple and accessible on Jupiter. We also help users cut through the jargon, offer smart insights based on their spending habits, and provide innovative features to help them make sense of their finances. Our Journey So Far Founded in 2019 by Jitendra Gupta, a visionary entrepreneur best known for Citrus Pay, Jupiter s journey began with a powerful idea: to revolutionize personal finance by providing a customer-centric experience. Our journey kicked off with a waitlist of 100,000 eager users, and in just 10 months, we reached 1 million users. Today, we proudly serve over 2.8 million happy users. Our Insights feature automatically tracks spending, even on external savings accounts. Our Edge CSB Bank RuPay credit card is loved for its transparent design and rewarding experience. Our No-Penalty SIP and Daily SIP at just Rs 10 have been instrumental in scaling our investments business, with over 100,000 users investing to fulfill their financial aspirations. With cutting-edge technology, data analytics, and a diverse team of creative thinkers and industry experts, we continue to build a more accessible, transparent, and inclusive financial ecosystem. Now, we are looking for like-minded individuals to join our growing team. Who We re Looking For We are seeking a Credit Card Acquisition/Sales Manager who has deep expertise in driving credit card sales through digital channels. This high-impact role is an individual contributor position responsible for meeting aggressive sales targets through digital partnerships, assisted digital sales, and direct outreach. The ideal candidate should have proven experience in driving high-volume credit card issuance and a thorough understanding of the credit approval and onboarding process. Roles and Responsibilities Sales Target Ownership: Own and deliver monthly/quarterly credit card sales targets through digital sales channels. High-Quality Acquisitions: Drive quality credit card acquisitions via: Digital Aggregator Partnerships: Collaborate with fintech companies, NBFCs, and aggregators to distribute credit cards. B2B & Corporate Alliances: Lead credit card issuance through employer partnerships and business tie-ups. Assisted Digital Sales Models: Engage potential customers with guided sales processes to improve conversions. Key Metrics Management: Meet and exceed key sales metrics such as new credit card issuance, lead-to-conversion rates, etc. Onboarding and Activation: Work closely with the credit, risk, and operations teams to ensure seamless onboarding and activation. Funnel Optimization: Analyze drop-offs in the digital sales funnel and implement strategies to improve conversion rates. Performance Tracking: Monitor performance data on a daily/weekly basis, identify gaps, and improve sales processes. Compliance Management: Ensure compliance with regulatory guidelines, credit risk policies, and fraud prevention measures. What s Needed for This Role Experience: 7-12 years of experience in credit card sales/acquisition, with a focus on digital sales channels. Sales Performance: Proven ability to hit and exceed aggressive sales targets in a high-volume, digital-first environment. Partnership and Alliances: Experience with digital partnerships, assisted digital sales models, and corporate alliances. Credit and Onboarding Knowledge: Strong understanding of underwriting criteria, digital KYC, and approval workflows. Sales Tools Proficiency: Hands-on experience with CRM systems, lead management tools, and digital sales tracking. Data-Driven Approach: Analytical mindset with a data-driven approach to improving sales efficiency and conversion rates. Independence and Drive: Ability to work independently and drive high-quality acquisitions without direct team management. Why You Should Work With Us Ownership Mentality: We value individuals who behave like owners taking full ownership of their projects and seeing them through to completion. Customer-Centric Problem-Solving: We thrive on tackling meaningful challenges by understanding pain points and creating intuitive, delightful customer experiences. Healthy Conflict & Commitment: We value individuals who engage in healthy conflict and commit fully to decisions once they re made. Relentless Excellence: We continuously set higher standards and are always seeking growth and improvement. If you re driven by continuous learning and want to be part of an environment that challenges you, Jupiter is the place to be.
1 - 20 of 0 jobs
* No exact matches found. Showing closest results insteadNo results found
Modify search criteria or create an alert to get relevant jobs as soon as they’re posted