Lead Statistical Programmer Jobs in Mumbai

Position: Lead Transformation Location: Mumbai Qualification: Graduate Experience: 5 to 10 years Job Description: We are seeking a Lead Transformation to drive digital transformation initiatives across business verticals, including lending, operations, customer experience, and technology. You will play a pivotal role in fostering innovation, leveraging technology to improve processes, and ensuring seamless execution of digital strategies across the organization. Key Responsibilities: Digital Transformation Leadership: Lead and execute digital transformation initiatives across business areas, including lending, operations, customer experience, and technology. Drive innovation in business models by implementing technology, automation, and process re-engineering solutions. Data-Driven Decision-Making: Foster a data-driven culture, utilizing analytics and insights to influence decision-making and track the success of transformation efforts. Promote the use of data to measure business performance and identify areas for improvement. Collaboration & Execution: Collaborate with cross-functional teams, including technology, product, business, compliance, and operations, to deliver integrated, impactful solutions. Ensure alignment between business goals and technology execution, facilitating smooth implementation of digital roadmaps. Innovation & Process Improvement: Identify opportunities for automation, digitization, and customer experience enhancement across business operations. Spearhead initiatives to streamline processes and improve operational efficiency. Bridge Between Business & Technology: Act as the primary liaison between business stakeholders and technology teams to ensure alignment on transformation goals and successful execution. Must-Haves: Experience: 5 8 years of relevant experience in NBFC, Lending, Banking, or Fintech. Digital Transformation: Proven experience in leading large-scale digital transformation and system implementation projects. Business Model Innovation: Experience in driving business model changes through digital and data-led initiatives. Data-Driven Approach: Demonstrated ability to leverage data in decision-making and executing business strategy. Qualification : Graduate

Procurement Team Lead Location: Mumbai Work Type: Full-Time About Ninjacart At Ninjacart, we re reimagining how India s agri-supply chain works. As the country s leading agri-platform, we harness the power of technology, data, and innovation to organize and optimize the movement of fresh produce from farms to consumers plates. Over the past six years, our made-for-India technology and India-first solutions have disrupted traditional systems, empowering farmers, traders, and retailers while creating efficiency, transparency, and fairness across the agri commerce ecosystem. Our mission is to build the digital network for global agri commerce, solving challenges like information asymmetry, payment inefficiencies, and distribution gaps while helping buyers and sellers discover each other seamlessly. Backed by Walmart Group, Tiger Global, Accel, Syngenta, and other world-class investors, Ninjacart has raised over $350 million and is proudly recognized among Top 25 Startups to Work For. At Ninjacart, we re a high-energy, results-driven community that values ownership, innovation, and collaboration. We move fast, think big, and solve real problems at scale. About the Role As a Procurement Team Lead, you ll play a key role in ensuring product availability, optimizing cost structures, and building long-term vendor relationships. You will manage sourcing, planning, and procurement strategies that drive profitability, minimize waste, and ensure high service levels across categories. Key Responsibilities Supply Planning & Inventory Management: Ensure 100% fill rates for assigned SKUs by identifying reliable supply sources, monitoring stock levels, and maintaining optimal inventory with minimal wastage. Cost Optimization: Track and analyze price trends across markets to inform sourcing decisions. Identify and implement cost-saving initiatives to improve margins across the supply chain. Vendor Management: Identify, onboard, and manage vendors through effective price negotiations, reconciliations, and credit cycle management. Monitor vendor performance, develop scorecards, and build long-term partnerships to strengthen loyalty and performance. Stakeholder Collaboration: Work closely with Category, Supply Chain, Finance, and Quality teams to ensure seamless coordination and timely decision-making across functions. 2+ years of experience in vendor management, preferably in Fruits & Vegetables (F&V), Grocery, or E-commerce sectors. Bachelor s degree in Engineering from a Tier 2, 3, or 4 institution. Strong negotiation, pitching, and problem-solving skills with a sharp business acumen. Highly self-motivated, agile, and adaptable in a fast-paced, evolving environment. Strong interpersonal skills and a data-driven approach to decision-making. At Ninjacart, you don t just work you create impact at scale. You ll have the autonomy to lead, the platform to innovate, and the opportunity to make a difference in one of India s most vital industries. Be a Ninja. Power the future of agri-commerce. Qualification : Bachelors degree in Engineering from a Tier 2, 3, or 4 institution

RCA Lead Experience: 6 9 years Location: Mumbai Team: Customer Success About CoinDCX At CoinDCX, we believe Change Starts Together. Over the past six years, we ve grown from India s first crypto unicorn to a community of over 125 million users. We re on a mission to make Web3 accessible to everyone by creating innovative products that tackle accessibility and security challenges head-on. Join us to be part of a passionate team breaking barriers and building the future of digital finance. Inside CoinDCX s Customer Success Team Our Customer Success team is dedicated to helping users get the most out of their CoinDCX experience. We foster strong relationships, provide timely support, and guide users through their digital finance journeys. If you re passionate about customer satisfaction and operational excellence, this is where your impact begins. Your Role As the RCA Lead, you will be the central owner for structured problem-solving across customer experience, product, and operations. You will lead root cause analysis for critical incidents, drive cross-functional collaboration, and ensure sustainable corrective and preventive actions are implemented to reduce recurring issues. What You ll Own Root Cause Analysis & Problem Solving Lead RCA exercises for major customer-impacting issues, operational failures, and escalations. Build and enforce structured RCA frameworks (5 Whys, Fishbone, FMEA) to ensure consistent problem-solving. Conduct thorough post-incident reviews and publish detailed RCA reports with clear, actionable recommendations. Cross-Functional Collaboration Partner with Product, Tech, Operations, Compliance, and Support teams to address root causes and prevent recurrence. Track and follow up on CAPA (corrective and preventive actions) until full resolution. Ensure accountability for long-term solutions over temporary fixes. Data & Reporting Maintain dashboards tracking recurring issues, escalation trends, and RCA completion metrics. Present RCA insights and systemic risk trends regularly to senior leadership. Quantify the business and customer impact of issues, demonstrating measurable improvements post-fix. Governance & Standards Establish and refine SOPs for incident reporting and RCA processes. Train teams and stakeholders on RCA methodologies and problem-solving best practices. Ensure regulatory and audit compliance with thorough documentation of RCA activities. What You Bring 6 10 years experience in Operations Excellence, Quality, Risk, or Customer Experience, preferably in fintech, crypto, BFSI, or high-scale tech environments. Proven expertise in Root Cause Analysis, CAPA management, and incident governance. Strong analytical skills with the ability to work on large datasets and generate actionable insights. Excellent communication skills to simplify complex issues for leadership and stakeholders. Proficiency with tools like JIRA, Confluence, SQL, Excel, and BI dashboards (Tableau, PowerBI, Looker). Strong stakeholder management and cross-functional collaboration experience. Success Metrics Reduction in repeat issues and escalations. Average time to complete RCA and implement preventive actions. Accuracy and adoption of RCA reports across teams. Leadership satisfaction on visibility and management of systemic risks. You are endlessly curious about Virtual Digital Assets (VDA) and Web3, always staying ahead in this fast-evolving space. You take ownership, relentlessly driving impact and excellence. You embrace a We over Me culture, empowering your team and peers. You thrive on change and innovation, pushing beyond limits and convention. Perks That Empower You Design Your Own Benefit: Customize your perks whether gadgets, travel, or pets, you prioritize what matters most. Unlimited Wellness Leaves: Take time off whenever you need to recharge. Mental Wellness Support: Access health experts, counseling sessions, wellness workshops, and team outings. Bi-Weekly Learning Sessions: Stay sharp and grow with ongoing industry knowledge and skill-building. Join Us If you re ready to lead problem-solving at scale and shape the future of customer experience in Web3 we want to HODL you on our team!

Position Title: Lead Human Resources Location: Mumbai Overview: We are seeking an experienced and strategic HR Lead to oversee and manage all aspects of our Human Resources function. The ideal candidate will be responsible for aligning HR strategies with business goals, driving a positive workplace culture, and ensuring compliance with labor laws and best practices. You will play a key role in talent acquisition, employee engagement, performance management, payroll, and overall HR operations. This is a leadership role requiring strong people management, communication, and decision-making skills. Key Responsibilities: Strategic HR Management Develop and execute HR strategies aligned with organizational objectives Provide strategic advice and decision support to senior leadership using HR data and insights Employee Relations & Culture Act as a bridge between employees and management to resolve issues, grievances, and conflicts Foster a positive and inclusive work environment that encourages collaboration and growth Talent Acquisition & Development Oversee the recruitment and selection process to attract and retain top talent Identify training needs and implement effective learning and development programs Support career development, employee engagement, and retention initiatives Performance & Compliance Implement and manage a performance management system that promotes continuous feedback and high performance Ensure end-to-end payroll processing and benefits administration Maintain up-to-date knowledge of labor laws and ensure organizational compliance Develop and enforce HR policies and procedures Team Leadership Lead and mentor a small HR team (2+ members), fostering growth and collaboration Promote HR operational excellence across the organization Required Skills & Qualifications: Minimum 8+ years of experience in Human Resources, with at least 2 years in a leadership capacity Proven ability to design and implement successful HR strategies and programs People-oriented and results-driven mindset Strong experience with HR metrics and data-driven decision-making Proficiency with HR systems and databases Excellent communication, negotiation, and presentation skills Strong leadership and interpersonal abilities, with the capacity to manage relationships at all levels In-depth knowledge of Indian labor laws and HR best practices Experience managing end-to-end payroll and performance review processes

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Job Title: Lead IT Infrastructure & Security Reports To: Head IT Location: Mumbai Experience: 8 12 Years Education: B.E. / B.Tech. in Information Systems, Computer Science, Information Security, or a related field Role Overview: We are seeking a self-driven and highly skilled IT Infrastructure & Security Lead to manage and secure our IT landscape across all pan-India locations for Matix Fertiliser and Chemicals Ltd. This role involves the implementation, optimization, and security of IT infrastructure, ensuring high system uptime, performance, and protection against modern cybersecurity threats. You will play a key role in aligning IT infrastructure and security strategies with organizational goals, driving best practices, and leading initiatives that reinforce reliability, resilience, and regulatory compliance. Key Responsibilities: IT Infrastructure Management: Ensure the efficient utilization, uptime, and performance of IT systems and infrastructure across the organization. Set measurable KPIs and performance benchmarks; continuously monitor and improve against them. Manage enterprise-wide connectivity, including MPLS, LAN, and WAN infrastructure across all office locations. Oversee design, installation, monitoring, and troubleshooting of enterprise networks and systems. Manage and maintain Active Directory (AD) environments. IT Security Oversight: Administer and monitor cybersecurity tools and platforms including: Microsoft 365 Defender CrowdStrike EDR FortiGate Firewalls Checkpoint Email Protection DLP, IDP/IPS systems, and Routers Collaborate with Head IT on implementing key cybersecurity initiatives in line with the IT roadmap. Conduct risk assessments, manage vulnerabilities, and ensure compliance with internal security standards and external regulations (ISO 27001, SOC2, DPDP, etc.). Lead efforts in business continuity planning (BCP) and disaster recovery (DR) for critical IT systems. Operational & Vendor Management: Handle the procurement and lifecycle management of IT assets (laptops, servers, storage devices, printers, networking products, etc.). Source, contract, and review IT vendors and service providers. Coordinate with ISP and MPLS providers for reliable network connectivity. Manage licensing and deployment of MS Outlook 365 suite and associated tools. Backup & Data Management: Implement and manage centralized and decentralized backup solutions, ensuring data integrity and recovery readiness. Required Skills & Competencies: Technical: Solid knowledge of enterprise IT networks, cybersecurity tools, and infrastructure architecture. Hands-on experience with Windows Server environments, AD, O365, and security operations tools. Experience in security incident management, IT audits, and implementing frameworks like ISO 27001 or SOC2. Certifications (Preferred): CCNA, CEH, CISA, CISSP, CISM Familiarity with the ITIL Framework is an added advantage. Behavioral: Strong leadership and project management skills. Excellent communication and interpersonal abilities to engage with cross-functional teams and external partners. Proven client management skills and ability to work under minimal supervision. High attention to detail and a proactive mindset. Qualification : B.E. / B.Tech. in Information Systems, Computer Science, Information Security, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Digital Marketing Lead Reporting To: Head of Marketing Department: Marketing Location: Mumbai Key Objective of the Role Lead the digital marketing function across platforms and business lines. Collaborate with cross-functional teams including business units, contact center, and tech to strengthen internal capabilities and drive growth. Use data-driven strategies to increase website traffic, enhance visibility, and continuously optimize performance through innovation and insight. Key Responsibilities Digital Strategy & Execution Develop and execute comprehensive digital marketing strategies aligned with both B2B and B2C business goals. Campaign Management Plan, implement, and optimize campaigns across key paid media platforms (Google Ads, Meta, LinkedIn, etc.), focusing on ROI and lead generation through full-funnel journeys. SEO/SEM Leadership Design and lead SEO and SEM strategies to boost organic visibility, improve keyword rankings, and drive quality traffic. Team Leadership & Development Mentor and manage a team of digital marketers, performance marketers, and data analysts fostering growth, collaboration, and performance excellence. Budget & Performance Management Manage digital marketing budgets, monitor KPIs, and report on campaign performance to identify opportunities for scale and efficiency. Stakeholder Collaboration Work closely with the leadership team to align digital marketing efforts with broader business objectives. Lead Funnel Optimization Partner with the contact center team to analyze the lead funnel, gather insights, and implement data-backed improvements. Trend Monitoring & Innovation Stay updated on industry trends, algorithm changes, and emerging digital tools to ensure competitive advantage. Marketing Automation & CRM Drive implementation of marketing automation solutions and CRM system integrations to streamline marketing workflows. Role Requirements Education Bachelor s or Master s degree in Marketing, Communications, or a related field. Experience 9 10 years of hands-on experience in digital marketing with a strong background in performance marketing and strategic planning. Technical Skills Deep knowledge of SEO, SEM, paid media, CRM automation, and performance marketing. Proficiency in Google Ads, Meta Ads, LinkedIn Campaign Manager, and analytics/reporting tools. Strong analytical mindset with the ability to interpret data into actionable insights. Skilled in building reports and delivering high-impact presentations. Behavioral Competencies Leadership Analytical Thinking Problem Solving (Digital-first) Customer Obsession Excellent Communication High Attention to Detail Adaptability and Agility Qualification : Bachelors or Masters degree in Marketing, Communications, or a related field

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Job Title: Senior Analyst Insights & Analysis Location: Mumbai Company: DGS India About the Role As a Senior Analyst, you will deliver insightful analysis aligned with client business goals, manage client communications, and lead junior team members to exceed performance targets. Key Responsibilities Understand client needs and act as the primary interface between clients and internal teams, ensuring clear communication. Address questionnaire-related client issues and suggest effective solutions. Use market research tools and programming languages to design surveys and deliver high-quality data tables. Independently review and execute projects according to guidelines and tools. Assign tasks to junior team members and support them in survey programming. Maintain work schedules and project plans for timely delivery.

Product Manager No of vacancy: 2 Location: Mumbai Job Profile: We are looking for someone who is enthusiastic about product development and has strong views on why, how and what of it. Analytical background for decision making is a must. Must be proficient in understanding statistics and trends using tools like google analytics etc. Understanding of tools for analytics, product management, wire-framing, documentation and other execution is required. It is important for the candidate to be a team player and collaborator. Drive product and integration roadmap, including market segmentation and sizing, market and competitive analysis, technology trends to achieve product line goals. Define strategies for user/customer engagement using multiple mediums (web, email, apps, mobile etc.) Manage product requirement definition and feature identification for future initiatives, including documentation of prioritized feature sets and use cases. Lead development and QA teams at the appropriate times to realise the goals of the product. Be a driving force in assembling the resources necessary to ship high-impact products and features, and facilitate communication throughout the development process. Work with the release process and support teams to insure that the product is released successfully and any issues in production are resolved quickly. Measure and analyse success of product or feature using internal tools as well as tools like Google Analytics. Efficiently manage agile development of the product. Candidate Profile: 1 to 3 years of experience working with teams in rapid delivery environments. Preferred experience in product development as an engineer. Preferred experience in a product / ecommerce company Proven ability to successfully manage all phases of the product development lifecycle. Expertise with web/mobile analytic tools. Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills. Experience of working on a consumer facing product, where you have worked on building a mobile interface.

Position: Quality Engineer Location: Mumbai Employment Type: Full-Time, Permanent Job Overview: We are seeking a detail-oriented Quality Engineer to develop and execute manual and automated tests to ensure the quality of our software solutions. The ideal candidate will have experience in writing test plans, creating test scripts for functional and load testing, and using tools like JMeter for performance evaluation. Key Responsibilities: Test Planning: Write comprehensive test plans and test cases based on requirements to ensure all aspects of the software are thoroughly tested. Automated Functional Testing: Develop and maintain automated test scripts to perform functional testing, ensuring efficient and accurate execution. Manual Testing: Perform manual testing of applications, identifying defects and collaborating with developers to resolve them. Load Testing: Create automated test scripts for load testing and perform load testing using JMeter to simulate real-world traffic and identify performance bottlenecks. Continuous Improvement: Review and refine testing processes to improve efficiency, effectiveness, and test coverage. Required Skills & Experience: Strong experience in writing test plans and test cases from requirements. Proficient in manual testing and automated functional testing using well-known tools. Hands-on experience with JMeter for automated and load testing. Knowledge of software testing methodologies and best practices. Excellent problem-solving and analytical skills.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

Position: Analytics Client Service Manager Location: Mumbai Department: Client Coverage Global Client Service Team About the Role We are looking for a seasoned Analytics Client Service Manager to join our Client Coverage team in Mumbai. The Global Client Service team at MSCI consists of experienced financial professionals who provide first-level support to our global client base. This team is responsible for handling a broad range of queries related to methodology, product usage, interpretation, and technical aspects across our analytics and benchmark product suite. The team engages with clients primarily through email and phone and works closely with Sales, Consultants, and internal teams to ensure seamless client engagement and satisfaction. Key Responsibilities Team Leadership and Development Recruit, onboard, and coach team members, equipping them with the skills and product knowledge they need to succeed. Establish clear performance expectations and conduct regular performance evaluations. Foster a culture of collaboration, continuous learning, and positive team dynamics. Client Relationship Management Develop strong, trust-based relationships with clients to understand their evolving needs and business goals. Serve as the escalation point for complex client issues, ensuring swift and effective resolution. Maintain regular communication with clients, providing proactive updates, gathering feedback, and ensuring overall satisfaction. Service Delivery Oversight Manage the delivery of analytics support services, ensuring all client requests are addressed promptly and with the highest quality. Establish and refine standard operating procedures (SOPs) to maintain service consistency. Track and analyze service performance metrics to identify trends, gaps, and areas for improvement. Product Expertise and Knowledge Sharing Ensure the team maintains deep product knowledge, enabling them to confidently advise clients on the optimal use of MSCI s analytics tools. Organize regular training and knowledge-sharing sessions to keep the team up to date. Stay informed on product enhancements and industry trends to ensure the team provides relevant and value-driven support. Reporting and Insights Generate regular performance reports, tracking key service metrics and client satisfaction scores. Provide actionable feedback based on client interactions to internal teams, helping shape product and service improvements. Present insights and strategic recommendations to senior management to continuously enhance the client service function. Strategic Operations and Process Optimization Develop and execute strategic plans aimed at enhancing the client service offering. Identify and implement process improvements to increase efficiency and elevate client experience. Ensure alignment between team objectives, broader MSCI goals, and client needs. Skills and Experience That Drive Success 12+ years of professional experience, including proven experience in client service roles, ideally within analytics or related industries. Excellent English communication skills both written and verbal with the ability to convey complex information clearly and persuasively. Strong presentation and report-writing capabilities. Strong execution skills, with the ability to monitor and manage team performance using reports, dashboards, and other tracking tools. Analytical mindset with strong problem-solving abilities, particularly in numerical analysis using Microsoft Excel. Hands-on experience managing escalations and resolving complex client issues effectively. Demonstrated people management experience, with the ability to lead large teams and oversee service delivery operations. A Bachelor s degree in Finance, Engineering, Mathematics, Statistics, Economics, or a related field. Professional certifications like CFA or FRM are a plus. About MSCI At MSCI, our mission is to power better investment decisions. With over 50 years of expertise in research, data, and technology, we provide critical decision-support tools to the global investment community. Our innovative, research-enhanced solutions empower clients to understand risk, optimize performance, and build better portfolios. Competitive compensation packages and comprehensive benefits designed to support your financial security, health, and well-being. Flexible work options, advanced technology, and collaborative office environments. A culture that encourages innovation, accountability, and experimentation. A global community of talented colleagues who inspire, support, and collaborate to drive innovation and deliver client value. A structured Global Orientation Program, along with continuous access to learning platforms like Learning@MSCI and LinkedIn Learning Pro, plus tailored development opportunities. Multi-directional career paths, offering both vertical growth and lateral opportunities within MSCI. A commitment to diversity, equity, and inclusion, championed through our Employee Resource Groups including All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and the Women s Leadership Forum. At MSCI, you will join a team of curious, innovative, and entrepreneurial minds who are passionate about driving meaningful change in the investment industry. This is where you can push boundaries, challenge yourself, and exceed expectations for yourself, our clients, and our industry. Qualification : A Bachelors degree in Finance, Engineering, Mathematics, Statistics, Economics, or a related field. Professional certifications like CFA or FRM are a plus.