Associate Fraud and Federated AI

National Payments Corporation of India; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Comprehensive medical and life insurance

Employee Assistance Program

Mobility Benefits

Home Loan Interest Support

Annual Wellness Bouquet

Job summary

National Payments Corporation of India seeks a Data Scientist – Associate Fraud and Federated AI to enhance fraud detection systems within India's evolving digital payments landscape. This role requires designing and deploying machine learning models to tackle large scale issues, while collaborating with leading academic institutions.

The ideal candidate will have a B.Tech/M.Tech/MSc in relevant fields and 1-3 years of experience in machine learning. Join NPCI and contribute to innovative AI projects shaping the future of digital payments in India.

Qualifications

• 1 to 3 years of experience in machine learning and data science.
• Experience in payments, fintech, or banking sector preferred.
• Familiarity with real-time streaming systems.

Responsibilities

• Design and deploy ML/DL models for fraud detection systems.
• Collaborate with cross-functional teams on advanced AI projects.
• Integrate models into real-time production systems.

Skills

Supervised & unsupervised learning

Statistical modeling

ML/DL models

Python

Hands-on experience with LLMs

Graph-based fraud detection

Education

B.Tech / M.Tech / MSc / MCA (PhD preferred) in CS, AI, DS, Mathematics

Tools

NumPy

Pandas

scikit-learn

SQL

PyTorch

TensorFlow

Job description

National Payments Corporation of India (NPCI) | Full Time

The National Payments Corporation of India (NPCI) is a pivotal institution in India's digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks’ Association (IBA). It operates under the Payment and Settlement Systems Act, 2007, and is incorporated as a “Not for Profit” company under Section 25 of the Companies Act 1956 (now Section 8 of the Companies Act 2013). NPCI is dedicated to building world‑class digital payment infrastructure through innovative and efficient retail payment platforms. As an Equal Opportunity Employer, NPCI is committed to fostering an inclusive workplace culture, with zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, including support for the LGBTQ+ community.

To learn more about our company please click on link AboutNPCI

Our Culture

NPCIWAY – Our Guiding Principles

At NPCI, we foster a culture of Inclusion, Innovation, and a High-Performance Workplace.

The NPCIWAY is not just a framework – it’s a shared commitment by every individual to align with our evolving business needs, dynamic market conditions, and workforce expectations.

Five Tenets of the NPCIWAY

• Forward-Thinking Mindset
• Customer First
• Lead with Purpose
• Passion to Deliver
• All Succeed Together

Employee Perks and Benefits

Insurance & Wellness

• Comprehensive Coverage: Medical, accidental, and life insurance.
• Employee Assistance Program: Onsite medical center, financial/legal counselling, mental wellness.
• Annual Wellness Bouquet: Holistic wellbeing support.

Family & Childcare

• Parental Leave: Inclusive maternity and paternity leave.
• Daycare Support: Assistance for working parents.

Mobility & Lifestyle

• Mobility Benefits: Relocation, transfers, and travel support.
• Home Loan Interest Support: Up to 50% reimbursement.
• Mobile Reimbursement: New handset every 2 years.
• Car Lease, Salary Advance, Subsidized Meals.
• Reward & Recognition Program.
• Technology Innovation: Patents and IP Rights policy.

Retirement Planning

• Provident Fund (PF) and Gratuity Contributions.

Why Join Us

At NPCI, you’ll be part of a purpose‑driven organization shaping the future of digital payments in India and beyond. NPCI offers a unique opportunity to work on cutting‑edge projects that directly impact millions. We foster a culture of innovation, inclusion, and high performance, where every individual is empowered to lead with purpose and deliver with passion. With a strong focus on employee wellbeing, continuous learning, and collaborative success, NPCI is more than just a workplace – it’s a platform to grow, contribute, and make a meaningful difference.

You will be part of NPCI’s Market Innovation team, working at the intersection of advanced machine learning, deep learning, graph AI, and Generative AI to build next‑generation intelligent systems for India’s digital payments ecosystem.

This role focuses on solving India‑scale problems such as fraud detection, mule/AML risk modeling, transaction intelligence, and conversational AI, using both classical ML and cutting‑edge AI architectures (LLMs, GNNs, Transformers).

You will design end‑to‑end AI systems—from problem formulation, feature engineering, and model development to GPU‑accelerated optimization and production deployment, ensuring low latency, scalability, and robustness.

The role offers a unique opportunity to work on:

• Graph‑based fraud detection systems
• LLM‑powered platforms (RAG workflows)
• GPU/CUDA‑optimized AI pipelines
• Privacy‑preserving and federated AI systems

You will collaborate with top academic institutions (IITs/IISc) and cross‑functional teams to push the boundaries of applied AI in financial systems.

Job Details

• Job Title: Data Scientist – Associate Fraud and Federated AI
• Division: NPCI Market Innovation
• Experience: 1 to 3 Years
• Education: B.Tech / M.Tech / MSc / MCA (PhD preferred) in CS, AI, DS, Mathematics or related field
• Employment Type: Full‑time
• Role Type: Permanent

Key Responsibilities

Machine Learning & Advanced Modeling

• Develop and deploy ML/DL models (Logistic Regression, RF, XGBoost, NN, CNN, Transformers, GANs)
• Work on imbalanced datasets using advanced sampling and cost‑sensitive learning

Graph AI & Advanced Systems

• Build LLM‑powered applications (chatbots, complaint intelligence, document analysis)

Generative AI

• Implement prompt engineering & LLM fine‑tuning
• Perform EDA, feature engineering (temporal, behavioural, aggregated features)
• Work with structured, semi‑structured, and unstructured data
• Ensure latency & throughput performance
• GPU performance (CUDA‑based optimization)

Deployment & Production Systems

• Integrate models into batch and real‑time production systems
• Design scalable ML pipelines & APIs

Monitoring & Maintenance

• Performance stability
• Business impact
• Collaborate with data engineers, product teams, and business stakeholders
• Contribute to research, innovation, and academic collaborations
• Stay updated on latest AI advancements (LLMs, Graph AI, Federated Learning)

Requirements

Required Technical Skills

Core ML & Data Science

• Supervised & unsupervised learning
• Statistical modeling (Logistic Regression, DA)
• Tree models (RF, XGBoost, LightGBM)
• NN, CNN, Transformers, GANs

Generative AI & LLM Stack

• Hands‑on experience with LLMs (OpenAI, open‑source models)
• Prompt engineering, fine‑tuning
• RAG pipelines & vector databases

Graph AI

• Experience with GNN, GCN, GAT
• Graph‑based fraud detection
• Network analytics

Programming & Tools

• Python (NumPy, Pandas, scikit‑learn)
• SQL (large‑scale data processing)
• PyTorch / TensorFlow
• PyTorch Geometric

Good to Have Skills and Experience

Payments / Fintech / Banking Domain

• Experience in payments, fintech, or banking sector

Exposure

• Graph analytics on transactional data
• Federated learning & privacy‑preserving AI
• Real‑time streaming systems

Research Experience

• Publications in ML/AI conferences or journals

Additional Skills

• Design AI models inspired by mathematics/physics principles