FRM Lead Real-Time Risk Analytics & Machine Learning

Location: Chennai

Experience: 8–12 Years

Department: Financial Risk Management / Risk Analytics

The Role

We are looking for an experienced FRM Lead with strong expertise in Financial Risk Management, real-time data processing, and Machine Learning. The ideal candidate will drive risk management strategy across Digital Payments and Core Banking, leveraging advanced analytics and low-latency ML solutions to enable scalable, real-time risk decision-making.

Key Responsibilities

- Define and drive the Financial Risk Management (FRM) ecosystem strategy across Digital Payments and Core Banking domains.
- Lead risk domain governance and Machine Learning strategy, focusing on real-time risk assessment and decision-making.
- Design and implement time-slice aggregation and sliding/tumbling window-based computations for real-time data processing.
- Develop real-time feature definitions, feature profiles, and feature engineering frameworks to support scalable ML applications.
- Drive the development and optimization of ultra-low-latency Machine Learning inference solutions for real-time risk decisioning.
- Guide the selection, development, validation, and optimization of statistical models, Machine Learning algorithms,



and Deep Learning solutions.
- Oversee the deployment and optimization of ML models in production environments, ensuring scalability, performance, and reliability.
- Collaborate with cross-functional teams to deliver robust, high-performance risk analytics solutions aligned with business objectives.

Key Skills Required

- Financial Risk Management (FRM)
- Machine Learning and Deep Learning
- Statistical Modelling
- Real-Time Data Processing
- Time-Slice Aggregation
- Sliding and Tumbling Window Computations
- Feature Engineering and Feature Profiling
- Low-Latency ML Inference
- Real-Time Decisioning
- Risk Domain Governance
- Digital Payments and Core Banking
- ML Model Development, Optimization, and Production Deployment

Experience and Qualifications

- 8–12 years of relevant experience in Financial Risk Management, Risk Analytics, Machine Learning, or related domains.
- Solid understanding of real-time risk management and data processing architectures.
- Proven experience in developing and deploying scalable ML solutions for real-time decision-making.
- Excellent analytical, problem-solving, stakeholder management, and leadership skills.

📌 Financial Risk Management (FRM) Lead (Chennai)
🏢 Deloitte Shared Services India
📍 Chennai