data scientist

data scientist (quant research) - gm data & ai lab Jobs in Mumbai

data scientist (quant research) - gm data & ai lab

data analyst

data scientist associate - fraud risk Jobs in Mumbai

data scientist associate - fraud risk

divisional risk & control senior analyst, avp Jobs in Mumbai

divisional risk & control senior analyst, avp

data scientist associate fraud risk

JPMorganChase

<div>
 
 
 JOB DESCRIPTION
 
 
 
 
 Join the Fraud Data Science team at JPMC and help drive innovation in fraud identification and prevention. As part of our team, you will design, develop, and deploy cutting-edge AI/ML solutions&mdash;including graph analytics and Large Language Models (LLMs)&mdash;to tackle complex fraud challenges and deliver measurable business impact.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement advanced machine learning models (supervised and unsupervised) for fraud detection and prevention.
 </li>
 <li>
 Build and maintain graph analytics solutions to uncover fraud patterns and relationships.
 </li>
 <li>
 Leverage big data and cloud platforms (e.g., AWS, Spark) to automate, scale, and productionalize analytical models/ AI ML tools.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into actionable data science solutions.
 </li>
 <li>
 Present insights and recommendations to stakeholders, clearly communicating technical results and business impact.
 </li>
 <li>
 Document processes and ensure governance compliance for all analytical solutions.
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Develop and implement advanced machine learning models (supervised and unsupervised) for fraud detection and prevention.
 </li>
 <li>
 Hands-on experience with supervised and unsupervised machine learning statistical models. Knowledge of Graph Analytics is a big plus.
 </li>
 <li>
 Experience with Large Language Models (LLM) and Agentic AI will be an added advantage; although not mandatory.
 </li>
 <li>
 Strong technical skills in Python, PySpark, SQL, and big data/cloud platforms.
 </li>
 <li>
 Excellent problem-solving and communication skills. Ability to communicate complex findings clearly in both written format and verbally to technical and non-technical audiences.
 </li>
 <li>
 3+ years of experience with Bachelor&rsquo;s or Master&rsquo;s in a quantitative field (Mathematics, Statistics, Economics, Computer Science, Engineering, etc.).
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Experience developing and deploying production-quality machine learning models.
 </li>
 <li>
 Familiarity with dashboarding tools (e.g., Tableau) and cloud services (AWS Sagemaker, Amazon EMR).
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 
 ABOUT THE TEAM
 
 
 
 
 Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.
 
 
 The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
</div>

Data Scientist Associate - Fraud Risk

Clari5 - A Perfios Company

<div>
 At Clari5, we&rsquo;re not just building products &mdash; we&rsquo;re helping the world&rsquo;s leading banks stop financial crime in real time. Our platforms protect 1 billion accounts across 15 countries, and now we&rsquo;re looking for a Product Manager to help us take that impact even further.
 
 
 If you understand the complexity of the BFSI space, speak the language of bankers and technologists alike, and can turn market needs into real-world products that fight fraud, this role is for you.
 
 
 
 Your Mission
 
 
 
 As a
 
 Product Manager at Clari5
 
 , you&rsquo;ll be at the center of everything &mdash; strategy, customer conversations, product design, delivery, and growth. You&rsquo;ll work closely with cross-functional teams to build solutions that matter to the banking world &mdash; especially those that combat fraud at scale.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Product Vision &amp; Roadmap:
 
 Define and own the product strategy, turning insights into action and market needs into differentiated offerings.
 
 
 
 Customer-Centric Innovation:
 
 Engage directly with banks and financial institutions to understand their challenges and translate them into impactful product features.
 
 
 
 Cross-Functional Collaboration:
 
 Partner with engineering, sales, marketing, and customer success to ensure seamless delivery and adoption of product enhancements.
 
 
 
 Market Intelligence:
 
 Stay on top of fraud trends, regulatory shifts, and competitive activity in BFSI to ensure we&rsquo;re always ahead of the curve.
 
 
 
 Go-To-Market &amp; Launch:
 
 Drive product development from concept to release, ensuring GTM readiness, internal alignment, and client success.
 
 
 
 Data-Driven Iteration:
 
 Use product analytics and feedback loops to continuously evolve and improve the offering.
 
 
 
 Stakeholder Alignment:
 
 Keep internal and external stakeholders aligned through clear communication, prioritization, and progress updates.
 
 
 
 What You Bring
 
 
 
 
 Experience:
 
 5+ years in product management, preferably in
 
 BFSI, fintech, or enterprise risk solutions
 
 
 
 
 Client-Facing Strength:
 
 You&rsquo;ve worked closely with banks and FIs, and understand how to balance innovation with regulatory realities
 
 
 
 Domain Knowledge:
 
 Exposure to
 
 fraud prevention, risk analytics, or financial crime management
 
 is a strong plus
 
 
 
 Technical Fluency:
 
 You&rsquo;re comfortable working with APIs, banking core systems, and digital product stacks
 
 
 
 Strategic &amp; Tactical Mindset:
 
 You can zoom out and set vision, but also dive into the weeds to get things shipped
 
 
 
 Clear Communicator &amp; Influencer:
 
 Able to work across teams, present to customers, and align diverse stakeholders with confidence
 
 
 
 Why Clari5?
 
 
 
 Build products that
 
 protect economies
 
 and
 
 solve real-world problems
 
 in real time
 
 
 Collaborate with
 
 top-tier banks across 15 countries
 
 
 
 Work on
 
 next-gen fraud prevention, risk, and analytics platforms
 
 
 
 Be part of a team where
 
 your product decisions are visible, meaningful, and global
 
</div>

Product Manager

LTIMindtree

<div>
 
 
 Skill:
 
 Data Scientist
 
 
 
 Location: Mumbai
 
 
 
 
 Experience:
 
 10 to 16 Years
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Mandate Skills:
 
 
 
 Statistical &amp; Machine Learning
 
 : Proficient in building
 
 supervised learning models
 
 (e.g., regression, classification, decision trees, ensemble methods).
 
 <ul>
 <li>
 Skilled in
 
 unsupervised learning
 
 techniques (e.g., clustering, dimensionality reduction, anomaly detection).
 </li>
 <li>
 Ability to apply
 
 statistical methods
 
 for hypothesis testing, feature engineering, and model evaluation (
 
 ROC, AUC, precision-
 
 recall, etc.).
 </li>
 </ul>
 
 
 Programming &amp; Tools
 
 :
 
 Python, Jupyter Notebook
 
 s, and libraries such as
 
 scikit-learn
 
 ,
 
 pandas, NumPy
 
 .
 
 
 
 
 
 Primary Skills &ndash; Good To have
 
 <ol>
 <li>
 
 Teradata Expertise
 
 : Strong hands-on experience with
 
 Teradata SQL, ClearScape Analytics
 
 , and
 
 ModelOps
 
 for deploying and managing models at scale.
 </li>
 <li>
 
 Domain Knowledge
 
 : Insurance industry processes, risk modelling, and customer analytics.
 </li>
 </ol>
 
 
 
 
 Responsibilities:
 
 
 <ol>
 <li>
 Analyze large datasets and develop predictive models within Teradata Data Lake/Lakehouse environments.
 </li>
 <li>
 Write simple, efficient SQL queries and collaborate with data engineering teams to build and validate data pipelines with robust data checks.
 </li>
 <li>
 Prepare, clean, and standardize data for analysis and modelling.
 </li>
 <li>
 Build supervised and unsupervised ML models using Python and Jupyter Notebooks.
 </li>
 <li>
 Communicate insights through clear reports and visualizations
 </li>
 <li>
 Document processes and ensure data quality standards.
 </li>
 <li>
 Stay updated on emerging technologies to improve model performance and reliability.
 </li>
 </ol>
 
 
 
 
 
 
 
 Interested candidates, please share resumes on Shubhadha.Naik@ltimindtree.com
 
</div>

LTIMindtree Hiring for Data Scientist- Mumbai

Unilever

<div>
 
 Job Title:
 
 Data Scientist
 
 
 
 Function:
 
 Supply Chain
 
 
 
 Location:
 
 Mumbai HO
 
 
 
 Req ID:
 
 R-1171037
 
 
 
 Overview
 
 
 
 We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insights: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.
 </li>
 <li>
 Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.
 </li>
 <li>
 Supply Chain Optimization: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.
 </li>
 <li>
 Dashboard Development: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.
 </li>
 <li>
 Innovation &amp; Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s degree in data science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data science, preferably in FMCG or e-commerce
 </li>
 <li>
 Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Experience with machine learning frameworks
 </li>
 <li>
 Solid understanding of supply chain, retail, or FMCG business models
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills
 
 
 </li>
 </ul>
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding
</div>

Data Scientist

Dholakia Lab Grown Diamond

<div>
 
 
 Job Title:
 
 Data Scientist &ndash; Jewellery Manufacturing &amp; Retail Analytics
 
 
 
 
 
 
 Experience:
 
 2&ndash;6 years
 
 
 
 Location:
 
 Surat / Mumbai
 
 
 
 Industry:
 
 Diamond and Jewellery Manufacturing &amp; Retail
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist with a strong business mindset
 
 to solve real-world problems in the jewellery value chain &mdash; not just build models.
 
 
 This role sits at the intersection of
 
 data, finance, supply chain, and leadership
 
 . You&rsquo;ll work on demand forecasting, pricing, inventory optimisation, and margin analysis while accounting for
 
 gold price volatility, seasonality, festivals, promotions, and regional demand patterns
 
 .
 
 
 
 
 
 If you enjoy turning messy, operational data into clear business decisions, this role is for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain
 
 demand forecasting models
 
 considering seasonality, festivals, promotions, and regional trends
 </li>
 <li>
 Develop
 
 pricing and margin models
 
 factoring gold rate volatility, labour costs, and BOM structures
 </li>
 <li>
 Optimise
 
 inventory planning
 
 for weight-based SKUs (grams, carats, designs, variants)
 </li>
 <li>
 Perform
 
 profitability and contribution analysis
 
 at SKU, category, and channel levels
 </li>
 <li>
 Partner closely with
 
 finance, supply chain, sales, and senior leadership
 
 to translate insights into actions
 </li>
 <li>
 Create clear dashboards, analyses, and narratives that support
 
 executive decision-making
 
 </li>
 <li>
 Continuously improve data quality, assumptions, and model performance based on real business feedback
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 2&ndash;6 years of experience as a
 
 Data Scientist / Analytics professional
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 (Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Solid knowledge of
 
 statistics, regression, and time-series forecasting
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and working with large, imperfect datasets
 </li>
 <li>
 Ability to explain complex analysis in
 
 simple business language
 
 </li>
 </ul>
 
 
 
 
 
 Good to Have (Strong Advantage)
 
 
 <ul>
 <li>
 Experience in
 
 retail, manufacturing, jewellery, FMCG, or consumer goods
 
 </li>
 <li>
 Exposure to
 
 weight-based inventory
 
 , costing, pricing, or BOM analytics
 </li>
 <li>
 Understanding of
 
 gold pricing, wastage, making charges, or multi-component SKUs
 
 </li>
 <li>
 Experience working directly with
 
 CXOs or business heads
 
 </li>
 </ul>
 
 
 
 
 
 What We Value
 
 
 <ul>
 <li>
 Business-first thinking over theoretical perfection
 </li>
 <li>
 Curiosity and ownership &mdash; you ask
 
 why
 
 , not just
 
 what
 
 </li>
 <li>
 Comfort working in ambiguity and evolving data environments
 </li>
 <li>
 Strong collaboration across non-technical teams
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on
 
 high-impact, real-world jewellery problems
 
 , not sandbox datasets
 </li>
 <li>
 Direct exposure to
 
 leadership decision-making
 
 </li>
 <li>
 Opportunity to shape how data drives pricing, inventory, and profitability at scale
 </li>
 <li>
 Fast-growing organisation with a strong focus on
 
 analytics-led growth
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 </ul>
 
 
</div>

Nomura

<div>
 
 
 Nomura Overview:
 
 
 
 
 
 
 Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.
 
 
 
 
 Nomura Services, India supports the group&rsquo;s global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group&rsquo;s global operations.
 
 
 
 
 
 At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies &amp; programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.
 
 
 
 
 
 
 
 
 
 
 
 
 Divisional Overview:
 
 
 
 
 
 
 
 Global Markets Division: Based in Mumbai, the front-office team which works on a team extension model delivers pricing, modelling and risk management expertise to the Global Markets business. Founded as a centre of excellence, the group leads the way in price discovery and portfolio optimization techniques and is integral to the business&rsquo; aggressive revenue targets. The team is playing an integral role in structuring, pricing, risk management and new idea generation.
 
 
 
 
 
 
 
 
 
 
 
 Business Overview:
 
 
 
 The Financial Resources management team within GM will be responsible for helping wholesale business management and CFO to analyse and optimise allocation of various financial resources across Nomura wholesale business. The team would cover all financial resources including and not limited to RWA (Market, Credit and Operational), BS, Leverage Ratio, NSFR, UF, MCO Charges, Client Return on Resources etc.
 
 
 
 
 
 
 
 
 What We Offer:
 
 
 
 
 
 <ul>
 <li>
 We support employee wellbeing by ensuring a sense of purpose and belonging.
 </li>
 <li>
 We offer a comprehensive range of wellbeing services which allows employees to get access to the assistance they need at any point in their wellbeing journey.
 </li>
 </ul>
 
 Our bespoke benefits support employees and their family&rsquo;s holistic wellbeing and are inclusive of diverse identities and family structures.
 
 
 
 
 
 Position Specifications:
 
 
 
 
 
 
 
 
 Corporate Title :
 
 Analyst/Associate
 
 
 
 Functional Title :
 
 Analyst/Associate
 
 
 
 Experience :
 
 1-5 years
 
 
 
 Qualification :
 
 BTech/CA/MTech
 
 
 
 
 
 
 
 
 
 
 Role &amp; Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Work with risk and finance function for seamless sourcing of various financial resources information at granular level (as available).
 </li>
 <li>
 Ensure full understanding of how different resource metrics are computed (Leverage, RWA, NSFR, UF, et al), with focus on Leverage Ratio &ndash; On/Off Balance Sheet Exposures and overtime vet the data for accuracy / data quality (in conjunction with risk and finance)
 </li>
 <li>
 Understand and document key drivers of each financial resource in terms of business area / product.
 </li>
 <li>
 Develop return metrics for each financial resource with a view on riskiness / liquidity of WS portfolio.
 </li>
 <li>
 Identify opportunities to creatively optimize resource consumption.
 </li>
 <li>
 Identify opportunities to optimize deployment of resources across various parts of GM business.
 </li>
 <li>
 Develop scorecards / dashboards that help WS management in identifying best areas to deploy additional resources
 </li>
 <li>
 Develop ability to estimate available resource capacity while assessing new business opportunities
 </li>
 </ul>
 
 
 
 
 
 Mind Set:
 
 
 
 
 
 
 
 
 Domain
 
 
 <ul>
 <li>
 The person need to have understanding of current Leverage ratio &amp; other capital calculation methodologies.
 </li>
 <li>
 Strong analytical skills to work on large data along with being organized, detail oriented, good follow up skills.
 </li>
 <li>
 The person should have good communication skill as the job will involve interaction with Finance and Risk
 </li>
 <li>
 Knowledge of FRTB working will be preferred but it is not a deal breaker
 </li>
 </ul>
 
 
 
 
 
 Language Capability
 
 
 
 
 
 <ul>
 <li>
 English at Business level
 </li>
 </ul>
 
 
 
 
 
 Technical
 
 
 <ul>
 <li>
 Should be a power user of Excel spreadsheets with strong analytical skills.
 </li>
 <li>
 Knowledge of Python, VBA and dashboarding tools like Power BI will be preferred but is not an absolute requirement.
 </li>
 </ul>
 
 
 
 
 
 
 
 We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer&rsquo;s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.
 
 
 
 
 
 
 
 
 
 
 *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.
 
 
 
 
 
 
 
 *The benefits are subject to change and will be in accordance with Company&rsquo;s policies as may be applicable from time to time).
 
 
</div>

Global Markets – Financial Resources – Analyst/Associate

IDfy

<div>
 
 Director- Technology Leader
 
 
 
 
 
 
 
 About IDfy
 
 
 
 
 IDfy is an Integrated Identity Platform offering products and solutions for KYC, KYB, Background Verifications, Risk Assessment, and Digital Onboarding. We establish trust while delivering a frictionless experience for you, your employees, customers and partners.
 
 
 Only IDfy combines enterprise-grade technology with business understanding and has the widest breadth of offerings in the industry. With more than 12+ years of experience and 2 million verifications per day, we are pioneers in this industry.
 
 
 Our clients include HDFC Bank, Induslnd Bank, Zomato, Amazon, PhonePe, Paytm, HUL and many others.
 
 
 We have successfully raised $27M from Elev8 Venture Partners, KB Investments &amp; Tenacity Ventures!
 
 
 
 
 
 
 We work fully onsite on all days of the week from our office in Andheri East, Mumbai
 
 
 
 
 
 
 
 We're a perfect match if you have-
 
 
 
 12-16 years with experience in:
 
 <ul>
 <li>
 Strong System Design and Architecture Skills, Functional or OO Programming skills, Clean Coding (min. good understanding of basic SOLID principles). Expertise in common design patterns
 </li>
 <li>
 Backend: Two or more of Elixir, Java, Python, Golang, Node.js, Ruby and ready to work on any of the stacks listed here after upskilling
 </li>
 <li>
 Database: PostgreSQL, MySQL, MariaDB or any RDBMS. Must have strong SQL and performance tuning skills. Should know database design
 </li>
 <li>
 Cloud, DevOps, Docker, Kubernetes
 </li>
 <li>
 Product Development Methodologies such as Agile
 </li>
 <li>
 Strong design skills in defining API Data Contracts / OOAD / Microservices / Data Models and Concurrency concepts
 </li>
 <li>
 User Interface development using modern Web Frameworks such as React
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 A solution oriented, problem solving mindset
 </li>
 <li>
 Leadership Skills &amp; Some experience with client interactions
 </li>
 <li>
 Excellent Communication Skills, Opinions &amp; the confidence to express yourself
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Here's what your day would look like-
 
 
 <ul>
 <li>
 Leading a team with a hands-on approach. Be a hands-on Engineering Leader, well-versed in all the technologies in the stack &amp; be willing and able to interact with clients.
 </li>
 <li>
 Do Design and Code Reviews
 </li>
 <li>
 Creating design artifacts for implementation
 </li>
 <li>
 Building cloud-native applications that run on GCP/ AWS
 </li>
 <li>
 Developing &lsquo;zero-defect software&rsquo; and test cases alongside implementation
 </li>
 <li>
 Developing UI components, APIs, business components, microservices, etc. to simplify the user journey
 </li>
 <li>
 Conducting root cause analysis of support tickets raised by clients and proposing solutions to fix them
 </li>
 <li>
 Frequently interact with customers to understand their challenges and bring in customer insights to the team.
 </li>
 <li>
 Work Closely with the Product team, other Business Teams and Enabler pods to determine business priorities
 </li>
 <li>
 Set up processes that ensure high quality and excellence and align with IDfy development principles
 </li>
 <li>
 Bring a culture of ownership and innovation to the POD. Staying ahead of the game by predicting future fraud techniques and building solutions to prevent them
 </li>
 </ul>
 
 
</div>

Engineering Manager

Explore 242+ Data scientist associate fraud risk in Mumbai this December. Find roles across top companies and apply now to boost your career.

242 data scientist associate fraud risk jobs IN Mumbai

Data Scientist Associate - Fraud Risk

Product Manager

LTIMindtree Hiring for Data Scientist- Mumbai

Data Scientist

Data Scientist

Global Markets – Financial Resources – Analyst/Associate

Engineering Manager