Data Transformation Jobs in Mumbai

Manager - Sales Force Effectiveness (SFE) Location: Mumbai Group Company: RPG Life Sciences About the Role The Sr. Manager - SFE is responsible for driving operational excellence through data-driven insights, automation, and digital tools. This business-critical role ensures real-time KPI analysis, aligns sales activities with corporate goals, and mentors the team to enhance productivity across the organization. Key Responsibilities Strategy, Analytics & Benchmarking Align sales efforts with business objectives, including segmentation, targeting, and call planning. Monitor KPIs to evaluate sales team effectiveness and provide recommendations for improvement. Create MIS reports and dashboards for senior leadership and the PMT to ensure real-time visibility. Prepare IPM audit reports with competitor analysis and ensure EI for all brands exceeds 100% monthly. Provide market reflection summaries and insights on new product introductions. Automation, CRM & Data Quality Manage and optimize CRM platforms to support sales processes and improve productivity. Automate workflows such as call logging, sample tracking, and reporting. Oversee the integration of SFA tools with ERP and BI systems while maintaining data integrity. Train field sales teams on CRM system adoption and lead the optimization of SFA tools. Collaborate with vendors for UI/UX improvements to enhance user experience. Operations & People Leadership Optimize Travel Allowance (TA) and Daily Allowance (DA) submissions to drive a "0-deduction" culture. Provide insights on Continuing Medical Education (CME) expenditures to improve process efficiency. Mentor the SFE team on advanced tools like Excel, Power BI, and Power Query. Work with marketing, IT, and commercial teams to ensure data-driven decision-making. Address operational challenges through hands-on support and team guidance. Skills & Competencies Advanced Analytics: Proficiency in Power BI, Excel (Advanced), and Power Query. SFA Expertise: Mastery of Sales Force Automation platforms and CRM data integration. Leadership: Proven ability to coach teams and drive digital transformation. Analytical Depth: Expertise in KPI tracking, market trend interpretation, and root cause analysis. Qualifications & Experience Education: Bachelor's or Master s degree in Business, Data Analytics, or a related field. Experience: Minimum 15 years in Sales Operations, SFE, or MIS, ideally in pharma or FMCG. Track Record: Proven experience in automation, dashboarding, and team leadership. Success Metrics Timely delivery of accurate dashboards with actionable leadership insights. Measured increase in sales productivity via automation and data visibility. Reduced travel-related expenses and optimized CME processes. Development of a high-performing, continuously learning SFE team. Qualification : Bachelor's or Masters degree in Business, Data Analytics, or a related field

Assistant Manager - Group HR Digital Location: Mumbai Group Company: RPG Enterprises Role Summary: As a Champion of Digital Transformation within the Group HR function, you will lead HR technology initiatives, optimize processes, and drive the digitalization of the HR function across RPG Enterprises. Key Responsibilities Provide ongoing support and training to ensure successful adoption and utilization of the HRIS platform across the Group. Identify, evaluate, and manage relationships with vendors offering innovative HR technology solutions. Lead negotiations and contract management with HR technology vendors to ensure cost-effectiveness. Collaborate with stakeholders to standardize HR processes like Payroll, Leave Management, and Performance Management. Integrate AI-powered tools within the RPG TalentOne platform to enhance talent acquisition and management. Leverage AI in predictive analytics for identifying talent trends, skills gaps, and performance insights. Contribute to the TA-TM Center of Excellence (COE) to drive the "Talent First" agenda. Develop reports, dashboards, and analytics to enable senior leadership to make informed, data-driven decisions. Qualifications Proven experience in HR technology implementation and HR tech vendor management. Strong understanding of HR processes including Payroll, Talent Acquisition, and Talent Development. Experience working with HRIS systems and familiarity with AI-powered HR tools. Excellent analytical skills with the ability to translate complex data into actionable insights. Strong communication and stakeholder management skills to work with diverse teams. Passion for innovation and a drive to digitize HR processes. Competencies Project Management: Ability to lead multiple HR technology initiatives and ensure timely execution. Driving Continuous Improvement: Skill in identifying opportunities for process optimization and efficiency. HR Technology Solutions Management: Expertise in evaluating and selecting technology to meet organizational needs. HRIS Administration: Hands-on experience in administering systems, ensuring data accuracy, and system optimization.

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

Risk & Control Analyst Location: Mumbai Skill Category: IT / Technology Work Type: Full-Time Department Overview The GCIO function oversees group-wide technology, operations, and data management, supporting Nomura s business strategy and delivering consistent services based on common operating principles. Aligned to key businesses across the group, GCIO operates enterprise-wide functions in risk management, governance, controls, supply chain, and infrastructure. Within GCIO, the Chief Controls Office (CCO) strengthens and protects the organization by enhancing non-financial risk management frameworks. The CCO enables the business to accelerate strategic delivery while improving the ability to dynamically manage risks and demonstrate control effectiveness. The CCO is undergoing a multi-year global transformation, focusing on building the right skills, capabilities, and foundations within its global team. Role Overview We are seeking a Risk & Control Analyst to play a pivotal role in building out the GCIO CCO Governance and Management Information (MI) capability. Reporting to the Controls MI Lead, you will contribute to the design, implementation, and delivery of risk management MI and governance frameworks across the organization. This is a fast-paced, challenging role for a detail-oriented candidate capable of initiative and proactive problem-solving. You will support both strategic MI initiatives and business-as-usual risk reporting for key committees and decision-making forums. Key Responsibilities Support the design, build-out, and management of GCIO CCO Risk Management Governance and MI capability. Deliver and continuously improve business-as-usual MI outputs, including supporting the Group CIO Risk Management Committee and GCIO LT Controls meetings (agenda, process, and MI content). Assist in defining target end-states and transition plans for CCO Governance and MI, and oversee day-to-day execution. Support the design and standardization of the GCIO Control Book, ensuring streamlined and automated production for stakeholder needs. Capture MI requirements, design dashboards, and implement processes to turn designs into actionable outputs. Collaborate with key stakeholders across GCIO and 3LoD to maintain productive working relationships. Contribute to process improvement initiatives to enhance risk management and MI capabilities. Qualifications, Skills & Experience Understanding of control frameworks, risk management governance, and MI in a financial services context. Strong combination of governance, MI, and technical skills (e.g., IT, Information Security, Data Management). Experience with Power BI reporting and dashboard creation. Hands-on experience with Linux, Informatica, and MS SQL databases. ServiceNow Integrated Risk Management (IRM) experience is a plus. Strong analytical and problem-solving skills, adaptable and flexible across multiple CCO services. Experience in MI design, visualization, production processes, and data requirements. Outcome-focused, with ownership and accountability for delivering high-quality outputs on time. Effective communication skills and strong attention to detail. Ability to contribute to continuous improvement initiatives and support strategic direction. You will be part of a global, high-performing team shaping the future of risk management and controls at Nomura. This is a unique opportunity to drive strategic initiatives, deliver impactful MI, and contribute to strengthening organizational controls in a dynamic financial services environment.

Salesforce Analyst Location: Mumbai Experience: 5 to 7 Years Qualification: Graduate Employment Type: Full-time Job Description We are seeking a skilled Salesforce Analyst to act as the key interface between business stakeholders and technical teams, translating business requirements into efficient Salesforce solutions. The ideal candidate will provide ongoing support, optimize Salesforce processes, and ensure platform integrity and user adoption. Key Responsibilities Serve as the primary liaison between business users and technical teams to gather, analyze, and translate business needs into Salesforce solutions. Provide Salesforce support including troubleshooting user issues, managing profiles, roles, permissions, and resolving system incidents promptly. Analyze existing business processes, identify inefficiencies or gaps, and recommend improvements leveraging Salesforce capabilities. Partner with stakeholders to define and document user stories, acceptance criteria, and detailed process flows. Manage Salesforce platform configurations ensuring data integrity, security, and system automation through workflows, approvals, validation rules, and flows. Conduct user training sessions, create comprehensive documentation, and deliver ongoing support to maximize Salesforce adoption. Collaborate with developers and third-party vendors to coordinate system enhancements, customizations, and integrations. Perform regular system audits, manage release cycles, and ensure compliance with company governance and security policies. Monitor Salesforce performance and usage metrics, and provide actionable insights to business teams for continuous improvement. Required Skills and Qualifications Graduate degree in any discipline. 5 to 7 years of experience working with Salesforce in an analyst or support role. Strong understanding of Salesforce platform capabilities including Security, Profiles, Roles, and Permission Sets. Experience in managing Salesforce workflow automation, validation rules, approval processes, and Flows. Ability to analyze business processes and translate them into scalable Salesforce solutions. Excellent communication skills to collaborate effectively with cross-functional teams. Experience conducting user training and creating user documentation. Familiarity with Salesforce release management and compliance requirements. Proactive problem-solving skills and ability to work independently. Be part of a dynamic team driving digital transformation and business efficiency. Work in a collaborative environment with opportunities for continuous learning. Impact business processes through innovative Salesforce solutions. If you are a detail-oriented Salesforce professional who enjoys bridging business and technology, we want to hear from you! Qualification : Graduate

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

Manager Digital Transformation Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Position Objective The role of Manager Digital Transformation involves leading and executing multiple strategic projects to drive business transformation. The ideal candidate will ensure projects are delivered on time, within scope and budget, and with high quality. This role requires strong skills in project management, stakeholder engagement, problem-solving, collaboration, and business analysis. Key Responsibilities Collaborate closely with reporting managers to plan and execute digital transformation initiatives across departments. Manage the end-to-end project lifecycle from concept development to execution, implementation, adoption, and transition to IT. Monitor and report project progress regularly to key stakeholders, ensuring transparency and alignment. Partner with business users to support solution testing and drive post-deployment adoption. Evaluate project outcomes against original objectives and facilitate project closure and handover. Identify opportunities for innovation within existing or upcoming solutions to maximize business value. Maintain documentation of project deliverables, learnings, and quality metrics for continuous improvement. Required Qualifications & Skills Minimum: Bachelor's degree in any discipline. Strong verbal and written communication skills with the ability to interact effectively across technical and non-technical teams. Solid understanding of the Software Development Life Cycle (SDLC). Proven ability to manage multiple projects and coordinate with diverse stakeholders. Certifications in project management (e.g., PMP, PRINCE2) or domain-specific certifications are preferred. Qualification : Bachelor's degree in any discipline

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.

Job Title: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams

Business Analyst Risk P&L Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a technology- and data-driven firm that applies a scientific approach to investing. Our collaborative and innovation-focused culture enables us to address the most complex challenges and consistently deliver high-quality returns for our investors. Role Overview We are seeking a skilled Business Analyst Risk P&L to join our team in Mumbai. This role is critical for ensuring seamless coordination between Risk Managers, Trading Desks, Technology Teams, and Operations. You will be responsible for risk and P&L analysis, system enhancements, data reconciliation, and contributing to strategic initiatives. Key Responsibilities Collaborate with traders, risk managers, and stakeholders to gather, analyze, and define business requirements related to risk and P&L systems. Reconcile daily/weekly/monthly Risk and P&L figures between internal systems and external parties. Prepare detailed financial and reconciliation reports for senior management. Use tools such as SQL and Python for data extraction, transformation, analysis, and reporting. Coordinate with cross-functional teams, including IT, Operations, and external vendors, to ensure timely project delivery and system enhancements. Proactively identify process inefficiencies and recommend improvements. Act as a key point of contact for risk and P&L related queries across the organization. Required Qualifications and Experience Experience: 4 7 years in a similar Business Analyst or technical role within financial services, preferably with exposure to trading or investment environments. Technical Skills: Strong knowledge of databases (SQL) and data analysis tools. Proficiency in Python or other programming languages is highly preferred. Domain Knowledge: Solid understanding of financial markets and instruments (equities, derivatives, etc.). Familiarity with Risk Management concepts and P&L reporting. Analytical Skills: Exceptional problem-solving ability and attention to detail. Ability to interpret and reconcile complex financial data. Soft Skills: Excellent communication skills both written and verbal. Effective collaboration skills across departments and with senior stakeholders. Why Join QRT Diverse & Inclusive Culture: We are committed to equality and encourage diverse perspectives that drive better outcomes. Work-Life Balance: QRT supports employees with wellness programs and flexible work arrangements. Innovation-Focused: Be part of a high-performing team that values continuous learning, curiosity, and ingenuity. Global Impact: Contribute to sophisticated risk and trading systems that operate on a global scale.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Job Title: Senior Software Engineer (Data Engineer) Location: Mumbai Company: DGS India About the Role We are looking for a curious and self-driven Senior Software Engineer to join our technology team. In this role, you will maintain, improve, and manipulate large-scale operational and analytics databases critical to our business. You will collaborate closely with software engineers, data analysts, data scientists, and data warehouse engineers to implement database solutions that support global client objectives. Experience Required Minimum 3 years and up to 7 years of relevant experience. Key Responsibilities Work independently as an individual contributor, understanding design tasks and writing high-quality code. Build, maintain, and optimize multi-terabyte marketing databases integrated with cloud platforms. Analyze database performance and troubleshoot issues efficiently. Collaborate with cross-functional teams internally and externally to meet business goals. Must-Have Skills Experience with cloud platforms such as AWS, Azure, or GCP. Strong proficiency in SQL. Hands-on experience with ETL tools. Programming skills in Python or UNIX shell scripting. Familiarity with workflow orchestration tools like Tivoli, Tidal, or Stonebranch. Solid understanding of data modeling, data structures, and database technologies. Knowledge of both relational and non-relational databases, and when to apply each. Practical understanding of data warehousing concepts, data marts, ingestion, and transformation. Good communication skills for effective collaboration. Good-to-Have Skills Experience working with Data Warehouses (DWH). Strong debugging and troubleshooting skills. Familiarity with SVN, JIRA, and Agile methodologies. Experience in client-facing roles with excellent communication abilities. Ability to work collaboratively across cross-functional teams. Educational Qualifications Bachelor s degree in Engineering or a related field. Certifications (Preferred) Basic level certification in AWS, Azure, or GCP. Snowflake Associate/Core certification. Shift Timings 12:00 PM to 9:00 PM IST and/or 2:00 PM to 11:00 PM IST. Qualification : Bachelors degree in Engineering or a related field.

Finance & Power BI Analyst

Job Title: Principal Project Director Operational Risk Management Location: Mumbai, India Experience: 9+ Years About the Role: We are seeking an experienced and dynamic Principal Project Director to lead high-impact projects in operational risk management for financial institutions. In this leadership role, you will manage client engagements, mentor project teams, and provide strategic insights across various risk domains. This is an exciting opportunity for professionals who thrive in fast-paced, global environments and seek to make a tangible impact within the financial services industry. Your Future Employer: A global consulting and technology solutions firm partnering with leading organizations in the financial services sector. Headquartered in India, the firm has a growing international presence and drives digital transformation and regulatory compliance across the APAC, Middle East, and Africa regions. Key Responsibilities: Lead and manage complex projects in operational risk management, including internal controls, SOP development, third-party risk, incident management, and business continuity. Review and validate policies, procedures, frameworks, and risk-control matrices, and actively contribute to Risk Control Self-Assessment (RCSA) initiatives. Independently engage with stakeholders to plan and execute assessments, interpret results, and present documentation that aligns with regulatory requirements. Collaborate with cross-functional teams to define Key Risk Indicators (KRIs), monitor risk thresholds, and integrate incident reporting with loss data frameworks. Contribute to proposal preparation, client presentations, and thought leadership initiatives. Mentor team members and drive project delivery excellence across various risk domains. Key Requirements: 9 12 years of relevant experience in operational risk, fraud risk, internal controls, and related areas, preferably in the BFSI sector or consulting. Educational background in CA, MBA, or other relevant master's programs. Preferred certifications in Project Management or Operational Risk Management (ORM). Strong knowledge of global and Indian risk frameworks and financial services regulations (RBI, SEBI, IRDA). Exposure to GRC tools (e.g., MetricStream, SAP GRC) and strong stakeholder management and team leadership skills. What s in it for You: Lead critical consulting projects for top-tier clients across geographies. Gain exposure to cutting-edge risk management methodologies and global standards. High-ownership role with the flexibility to innovate and influence strategic engagements. Work in a collaborative environment with robust mentoring and leadership support. Attractive performance-based incentives and opportunities for fast-track career growth. Qualification : Educational background in CA, MBA, or other relevant master's programs.

Job Title: Frontend Developer About Growisto: At Growisto, we are dedicated to solving complex business challenges with innovative, simplified solutions that drive digital transformation. Our team is passionately focused on technology, marketing, and data, and we view these as powerful tools for digital growth. What excites us most is boosting our client s sales and margins, helping them achieve tangible results through digital innovation. Key Responsibilities: Develop functional, visually appealing web-based applications with a strong focus on usability Implement pixel-perfect UI designs from Figma into responsive and intuitive web pages Ensure cross-browser compatibility and optimize the UI for seamless mobile and desktop experiences Write clean, reusable, and high-performance JavaScript code Leverage modern JavaScript features (ES6+) like destructuring, async/await, closures, and prototypes Utilize event delegation, debouncing, throttling, and efficient DOM manipulation techniques Collaborate with designers and backend developers to enhance UI/UX functionality Work with CSS frameworks like Bootstrap, Tailwind, or custom styles Troubleshoot and debug web applications efficiently to ensure seamless user experience Ensure adherence to web accessibility standards (WCAG, ARIA) Stay up-to-date with modern frontend trends and best practices Provide ongoing website maintenance, updates, and enhancements Requirements: Must-Have: 3+ years of experience in frontend development Strong JavaScript fundamentals, including closures, prototypes, event loops, and async programming Expertise in HTML5, CSS3 (SASS/LESS), and modern JavaScript (ES6+) Hands-on experience in converting Figma designs to production-ready code Deep understanding of DOM manipulation, event handling, and performance optimizations Strong knowledge of CSS Flexbox & Grid for responsive layouts Experience integrating RESTful APIs with frontend applications Strong understanding of cross-browser compatibility issues and solutions Proficiency with version control tools (Git, GitHub, GitLab) Experience with unit testing and integration testing for frontend applications Good to Have: Understanding of web performance optimization techniques (e.g., lazy loading, reducing render-blocking resources)

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

Job Requirements Role/Job Title: Analyst- Enterprise, Network & Reconciliation Function/ Department: Retail Banking Operations - Centralised Control Unit Job purpose: As part of the Retail Operations team, individuals must be well versed with the various digital products and the process defined by regulator & network and should have experience in managing the reconciliation processes. Roles & Responsibilities: Candidate should have prior experience in handling the channel reconciliation/digital banking processes. The candidate should be well versed with the various digital products and the process defined by regulator & network. The candidate should have strong interaction, communication skills to liaison with vendor support/network/peers and good inter person skills to communicate & interact with senior management. The candidate should be well versed with Network provided system as well as expertise in MS office. Good Vendor Management skills in terms of managing third party vendors is required. Managerial & Leadership Responsibilities: The candidate should have experience in managing the reconciliation processes. The candidate should have detailed knowledge of the processes. Key Success Metrics: Subject Matter Expertise in performing the Reconciliation. Subject Matter expert on Network system. Education Qualification: Graduation: Any Post-graduation: Any Experience: 2 to 5 Years of experience.

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.