business analyst

product analyst

research and development scientist Jobs in Mumbai

research and development scientist

data scientist

Godrej Capital

<div>
 
 
 
 Description
 
 
 
 
 The role incumbent will be responsible for providing data driven approaches towards informed decision making through data analytics, process improvement, proactive solution and passion for machine-learning and research assessments for Godrej Capital.
 
 
 
 
 
 
 
 Key responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Develop Machine Learning Models or analytical algorithms for effective credit risk identification, fraud indicator, collection prioritization, Customer propensity etc.
 </li>
 <li>
 Identify data patterns &amp; trends and provide insights to enhance business decision making capability. Deep Dive on emerging trends for early warning and risk mitigation
 </li>
 <li>
 Should be working towards enhancing data systems and streamlining business processes by working closely with technology teams to align capabilities and implement and test production level systems
 </li>
 <li>
 Communicate findings to all stakeholders
 </li>
 <li>
 Lead a team of junior resources for delivery of advanced analytical tools
 </li>
 <li>
 Data driven approaches and alternate data discovery to identify opportunity and Optimise Credit Risk Policy
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 &bull; Years of experience - 2 to 5 years of relevant experience with prior focus in Risk Analytics
 
 
 &bull; Graduate / Post-graduate degree in Engineering /Economics/Stats/ Maths or any equivalent Quantitative area. (Engineers preferred)
 
 
 &bull; Experience in writing complex SQL queries and perform detailed data analysis
 
 
 &bull; Should be proficient in Python / R
 
 
 &bull; Use of Statistical algorithm and Machine Learning in prior job
 
 
 &bull; Prior Experience in BFSI/ Scorecard Development / Portfolio Monitoring / Policy Analytics
 
 <ul>
 <li>
 Excellent Presentation skill
 </li>
 </ul>
 
 &bull; Prior mentorship experience (Good to have)
 
 
 
</div>

Data Scientist

KPMG India

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Role Summary
 
 
 We are seeking an accomplished Senior Data Scientist with proven expertise in Machine Learning, Deep Learning, and Natural Language Processing to build advanced AI-led solutions for the mutual fund and asset management (AMC) sector. The role involves high-impact initiatives including fund performance modeling, investor segmentation, portfolio optimization, document intelligence, and risk analytics.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy production-grade ML/DL/NLP models for business-critical use cases.
 </li>
 <li>
 Build end-to-end ML pipelines with automated data ingestion, feature engineering, training, validation, and inference.
 </li>
 <li>
 Develop and fine-tune NLP solutions including sentiment analysis, document classification, entity extraction, and text summarization.
 </li>
 <li>
 Perform exploratory data analysis (EDA) on financial datasets to uncover trends and insights.
 </li>
 <li>
 Build dashboards and analytical frameworks using Power BI, Tableau, or Python-based tools.
 </li>
 <li>
 Collaborate with investment, risk, and product teams to translate business needs into AI/ML solutions.
 </li>
 <li>
 Mentor junior data scientists and lead cross-functional data initiatives.
 </li>
 <li>
 Ensure compliance with model governance, explainability, and regulatory frameworks relevant to the mutual fund industry.
 
 
 
 </li>
 </ul>
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Statistics, Mathematics, or related field (mandatory)
 </li>
 <li>
 Master&rsquo;s degree in data science, Machine Learning, or related areas (preferred)
 </li>
 <li>
 Certifications preferred: TensorFlow/PyTorch, CFA Level I, NISM
 </li>
 </ul>
</div>

Assistant Manager - Capital Markets

Credila Financial Services Limited

<div>
 
 
 
 About the Company
 
 
 
 
 
 
 
 Credila Financial Services Limited (Formerly known as HDFC Credila Financial Services Limited) is one of India&rsquo;s largest education loan non-banking financial companies (NBFCs) offering education loans to Indian students. With an in-depth understanding of the higher education domain in India as well as overseas, Credila offers tailor-made education loan solutions that help enable students to be financially equipped to pursue their education at their dream university and country of study. Since inception, Credila has funded 178,000+ Indian students across 63 countries in 4,600 institutes
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Designing and implementing an overall risk management process for the Education Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
 </li>
 <li>
 Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
 </li>
 <li>
 Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance strategy overall ROA by segment.
 </li>
 <li>
 Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
 </li>
 <li>
 Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
 </li>
 <li>
 Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
 </li>
 <li>
 Develop risk-based credit policies and pricing grids to maximize approvals within specific segments of risk
 </li>
 <li>
 Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
 </li>
 <li>
 Partner with Engineering team to implement policies and scorecards.
 </li>
 <li>
 Supervise creation of time-sensitive analytics, visualizations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.
 </li>
 </ul>
 
 
 Data Analytics
 
 
 <ul>
 <li>
 Analyze data to identify high risk segments to limit and decrease loss rates.
 </li>
 <li>
 Perform exploratory data analysis to identify interesting data trend/ insights.
 </li>
 </ul>
 
 
 Model Validation
 
 
 <ul>
 <li>
 Build/Validate statistical scoring models on Unsecured lending portfolios that would aid in customer segmentation.
 </li>
 </ul>
 
 
 Policy formulation
 
 
 <ul>
 <li>
 Develop new policies for new partners and channels (Acquisition &amp; Line management)
 </li>
 <li>
 Review and update policies for existing partners in case of any change.
 </li>
 <li>
 Work with tech team to design test and implementation for any changes (partner related or regulatory) in policies.
 </li>
 </ul>
 
 
 Portfolio Management
 
 
 <ul>
 <li>
 Constantly Evaluate portfolio performance.
 </li>
 <li>
 Benchmark to Industry Standards.
 </li>
 </ul>
 
 
 Loss Management
 
 
 <ul>
 <li>
 Monitor Loan portfolio on a daily/weekly basis for any increase in risk (loss rates)
 </li>
 <li>
 Forecast loss for Education Loan portfolios
 </li>
 </ul>
 
 
 Stakeholder Management
 
 
 <ul>
 <li>
 Interacting with cross functional teams and driving the credit policy agenda and ensuring correct implementation of credit policy guidelines in origination system and decisioning platforms
 </li>
 <li>
 Lead discussions with external stakeholders/ channel partners during engagement calls
 </li>
 </ul>
 
 
 
 
 
 
 Skills
 
 
 
 
 
 
 <ul>
 <li>
 Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
 </li>
 <li>
 Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
 </li>
 <li>
 Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
 </li>
 <li>
 Outstanding communication skills, both verbal and written
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 
 
 <ul>
 <li>
 MBA with Mathematics / Statistics / Information Management as a subject in the curriculum or CA/ CFA with relevant experience
 </li>
 <li>
 2-5 years of experience in the areas of Risk Management, Credit Modelling, Data Analytics, etc. (preferred).
 </li>
 </ul>
 
 
 
 
 
 
 Job Location:
 
 
 Mumbai (Kalina)
 
</div>

Risk Manager

More Retail Private Limited

<div>
 
 At
 
 More Retail Private Limited
 
 , we&rsquo;re redefining how India shops for groceries &mdash; blending strong offline retail presence with fast-growing digital commerce. With a customer-first mindset and a data-driven culture, we are building smarter, more seamless shopping experiences every day.
 
 
 We&rsquo;re looking for a
 
 Product Analyst
 
 who is passionate about solving real customer problems through insights, experimentation, and measurable impact.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Product Analyst
 
 who will handle user/product issues using a data-driven approach. This role works closely with Business, Product, and Engineering teams and is not a ticket-closing support role.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Investigate production/user issues using SQL and system data
 </li>
 <li>
 Identify root causes (bug, data issue, or process gap)
 </li>
 <li>
 Work with engineers to reproduce and resolve problems
 </li>
 <li>
 Write Python scripts for data fixes and automation
 </li>
 <li>
 Analyse logs/APIs and trace user journeys across systems
 </li>
 <li>
 Identify recurring issues and recommend product improvements
 </li>
 <li>
 Perform ad-hoc analysis for business/product problem statements
 </li>
 <li>
 Create basic documentation and runbooks
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 2&ndash;5 years in Product Analyst/ Application Support / Product Support
 
 </li>
 <li>
 
 Strong SQL (joins, aggregations, window functions)
 
 </li>
 <li>
 
 Working knowledge of Python (scripting/pandas)
 
 </li>
 <li>
 Analytical mindset and debugging ability
 </li>
 <li>
 Familiarity with APIs, JIRA/Postman, and basic Linux
 </li>
 <li>
 Retail/e-commerce/supply chain exposure is a plus
 </li>
 </ul>
 
 
 
 
 
 You'll Thrive Here If You:
 
 
 <ul>
 <li>
 Believe internal efficiency is a competitive advantage
 </li>
 <li>
 Think every operational bottleneck is a product opportunity waiting to be discovered
 </li>
 <li>
 Love translating between "business speak" and "tech speak"
 </li>
 <li>
 Get excited about both helping teams solve immediate problems AND preventing future ones
 </li>
 <li>
 Prefer making decisions based on data while staying grounded in business reality
 </li>
 <li>
 Find satisfaction in seeing internal teams work faster because of your insights
 </li>
 <li>
 Think "this could be automated" when you see manual processes
 </li>
 <li>
 Measure success by both adoption rates AND business impact
 </li>
 </ul>
</div>

Product Analyst

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
 </li>
 <li>
 5 years of experience in maintenance of electrical distribution systems or construction/technical environments or a related field.
 </li>
 <li>
 5 years of electrical experience (e.g., operations and maintenance of electrical distribution or testing, and commissioning) in facilities such as data centers, hospitals, pharma, semiconductor, refineries, power plants, or industrial environments.
 </li>
 <li>
 Ability to work non-standard hours and work rotations/shifts.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
 </li>
 <li>
 Knowledge of electrical systems (e.g., Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units).
 </li>
 <li>
 Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective equipment like safety harnesses in accordance with safety and ergonomic guidelines and assessments.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).
 
 
 As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
 
 
 Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepare and execute operation procedures, respond to work request/service failure and provide operational and technical expertise in required areas.
 </li>
 <li>
 Coordinate vendor support in repairs/replacement and support project implementation (Site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
 </li>
 <li>
 Advocate improvement on site Water Usage Effectiveness (WUE) and Power Usage Effectiveness (PUE), operational efficiency and to minimize environmental impact.
 </li>
 <li>
 Develop an understanding of the infrastructure design and sequence of operation. Prepare and conduct training/sharing to the team.
 </li>
 <li>
 Operate, maintain, troubleshoot and repair electrical equipment in a Data Center environment.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Center Facilities Technician, Electrical

Kotak Life

<div>
 
 
 Role:
 
 Business Analyst
 
 
 
 Job Title:
 
 Chief Manager / Assistant Vice President
 
 
 
 Department:
 
 Customer Value Management (CVM)
 
 
 
 Experience:
 
 6 years +
 
 
 
 Education:
 
 BE / MCA / MBA
 
 
 
 Work Location:
 
 Goregaon (East), Mumbai
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 We are seeking a proactive
 
 Mid-Level Business Analyst
 
 to join the Marketing Intelligence Unit (MIU). This strategic role is dedicated to interpreting refined data and driving actionable insights for CVM, Happy You, Smart Sell and Marketing. The candidate will translate complex analytical findings into formal
 
 Opportunity Briefs
 
 , clearly articulating revenue potential and strategic recommendations. Success is measured by the value of the realized revenue uplift from implemented initiatives.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 &middot;
 
 Opportunity Identification:
 
 Proactively analyze key metrics and analytical findings (sourced from the SAS Data Mart) to identify and prioritize high-value cross-sell, up-sell, and retention opportunities across all customer touchpoints.
 
 
 
 
 
 &middot;
 
 Strategic Translation:
 
 Convert complex analytical outputs into clear, concise, and persuasive
 
 Opportunity Briefs
 
 , detailing the precise target audience, execution steps, and quantified expected revenue uplift for execution teams.
 
 
 
 
 
 &middot;
 
 Hypothesis Formulation:
 
 Develop and structure rigorous business hypotheses related to customer behavior, product propensity, and channel effectiveness for the Data Analyst to validate.
 
 
 
 
 
 &middot;
 
 Stakeholder Engagement:
 
 Act as the primary liaison between the Marketing Intelligence Unit (MIU) and operational execution teams (CVM, Marketing), presenting strategic findings and securing consensus on opportunity deployment.
 
 
 
 
 
 &middot;
 
 Impact Tracking:
 
 Meticulously track and report on the
 
 Realized Revenue Uplift (RRU)
 
 generated by implemented opportunities, conducting post-campaign analysis to provide continuous strategic feedback.
 
 
 
 
 
 &middot;
 
 Customer Journey Mapping:
 
 Utilize data-driven insights to propose and formalize enhancements to the existing Direct-to-Customer (D2C) hot leads journey, focusing on hyper-personalization and communication sequencing.
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 &middot; Bachelor&rsquo;s degree in Business, Finance, Economics, or a related field with a strong quantitative component.
 
 
 
 
 
 &middot; 6 years + experience in a role requiring the translation of data/analytics into formal business strategy or sales/marketing action plans.
 
 
 
 
 
 &middot; Proven ability to interpret statistical models, analytical reports, and large datasets to extract meaningful, strategic business insights.
 
 
 
 
 
 &middot; Excellent presentation and professional communication skills, capable of influencing senior-level stakeholders and operational teams.
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 &middot;
 
 Significant prior experience in the Life Insurance industry is highly preferred
 
 to ensure accurate interpretation of product and compliance implications.
 
 
 
 
 
 
 
 
 &middot; Demonstrated experience in creating detailed business cases or strategy documents that define scope, projected ROI, and resource requirements
 
</div>

Business Analyst

Lupin

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 As a pivotal member of our HR Technology team, you will lead the Production System support and implementation of innovative HR solutions on the SuccessFactors platform, transforming HR processes and enhancing the employee experience across multiple countries. Your role will encompass deep collaboration with the country HR teams and Centers of Excellence to meticulously analyze requirements and craft efficient, scalable processes aligned with industry best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Partner closely with country leadership and HR Centers of Excellence to analyze and redesign existing HR processes and workflows for continuous improvement within the SuccessFactors environment.
 </li>
 <li>
 Plan and facilitate solution design workshops with both internal and external stakeholders, leveraging market benchmarking and industry standards to identify optimal HR technology solutions.
 </li>
 <li>
 Conduct detailed impact assessments and cost-benefit analyses comparing current ('As-Is') versus future ('To-Be') processes; develop robust business cases to support leadership decision-making.
 </li>
 <li>
 Define and implement comprehensive project governance frameworks for cross-country teams, guaranteeing adherence to agreed requirements and quality standards.
 </li>
 <li>
 Oversee ongoing system administration and business support functions, coordinating proactively with technology providers, implementation partners, and internal teams to promptly resolve issues and maintain system integrity.
 </li>
 <li>
 Collaborate with external consultants, IT, and internal stakeholders to integrate HR systems with broader technology platforms, enhancing data accuracy and operational efficiency.
 </li>
 <li>
 Work alongside functional teams to standardize data management practices, identify critical data elements, and create comprehensive data templates to meet the diverse needs of stakeholders across the enterprise.
 
 
 </li>
 </ul>
 
 Core Competencies:
 
 A strong focus on collaboration, stakeholder engagement, and results orientation will underpin your success, alongside a commitment to cultivating talent, process excellence, customer-centric solutions, innovative thinking, and strategic agility.
 
 
 
 Work Experience
 
 
 
 
 Work Experience
 
 
 
 Candidates bringing substantial experience leading end-to-end implementations of HCM projects on the SuccessFactors platform will excel in this role. Prior involvement in Core HR, Recruitment &amp; Onboarding, Performance Management, and Leave &amp; Attendance modules is highly valued.
 
 
 Demonstrated capability as a project lead, module lead, or project manager within HR technology transformation projects, particularly in environments requiring navigation of complex, ambiguous stakeholder landscapes, will be crucial.
 
 
 An in-depth understanding of HR functional requirements and the skill to translate these into efficient, industry-aligned processes is essential. Experience keeping pace with emerging trends and innovations in HR technology will enhance your contribution and leadership in this position.
 
 
 
 Education
 
 
 
 
 Competencies
 
 
 
 Collaboration
 
 
 Stakeholder Management
 
 
 Result Orientation
 
 
 Process Excellence
 
 
 Customer Centricity
</div>

Manager - Human Resources

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