Director - Risk Analytics & Modeling and Transformation

Genpact; Kolkata District, Bengaluru, Delhi; Hybrid; INR 2,500,000 - 7,000,000; Full time

Job summary

Genpact Ltd. is seeking an AVP/Director of Risk Analytics & Modeling and Transformation to lead solution development, client advisory, and strategic programs across risk analytics for global banks and financial institutions.

The role requires deep expertise in risk modeling, regulatory frameworks, and advanced analytics, with a focus on analytics-led transformation and scalable deployment in cloud environments.

Qualifications

• 10–15 years of experience in risk analytics, quantitative modeling, or model risk management.
• Master’s degree or higher in a quantitative field; work with global banks/financial institutions.
• Strong expertise in end-to-end model lifecycle, regulatory frameworks, and advanced analytics.

Responsibilities

• Lead risk analytics and modeling transformation initiatives across model development, validation, monitoring, and deployment.
• Design operating models and model lifecycle frameworks aligned with SR 11-7, Basel III/IV guidelines.
• Develop solutions across stress testing, capital planning, portfolio analytics, and regulatory modeling.
• Lead client workshops, executive discussions, and multi-year analytics transformations.

Skills

Risk analytics

Quantitative modeling

Model risk

Regulatory frameworks

Python

SAS

SQL

Machine learning

Data visualization

Education

Master’s degree in Finance, Mathematics, Statistics, Economics, or related quantitative field

Tools

Snowflake

Databricks

AWS

Azure

GCP

Power BI

Tableau

Job description

AVP / Director Risk Analytics & Modeling and Transformation

Location: Bangalore / Kolkata / NCR

As an AVP (Director), Risk Analytics and Modeling, in our Financial Services Risk Practice, you will lead solution development, client advisory, and strategic transformation programs across risk analytics, quantitative modeling, and model lifecycle management for global banks and financial institutions.

The role combines deep expertise in risk modeling, regulatory frameworks, and advanced analytics with strong consulting and commercial capabilities to design and deliver data-driven, analytics-led, and AI-enabled solutions. The successful candidate will play a key role in expanding our risk analytics and modeling capabilities globally.

Key Responsibilities:

Risk Analytics & Modeling Transformation

• Lead transformation initiatives across risk analytics and model lifecycle functions, including model development, validation, monitoring, and implementation
• Design target operating models and model lifecycle frameworks aligned with regulatory expectations (e.g., SR 11-7, ECB/PRA guidelines)
• Develop and deliver solutions across stress testing, capital planning, portfolio analytics, and regulatory modeling frameworks
• Enable modernization of risk analytics capabilities through advanced analytics, automation, and scalable model deployment frameworks Client & Solution Leadership
• Lead solution design and proposals for complex risk analytics and modeling transformation engagements
• Shape and lead multi-year enterprise analytics and model transformation programs
• Build relationships with CROs, Heads of Model Risk, and Risk Analytics leadership
• Lead client workshops and executive discussions on quantitative risk, model governance, and analytics transformation
• Partner with data, technology, and AI/analytics teams to deliver scalable and robust risk analytics solutions Risk Modeling, Analytics & AI-Driven Solutions

Required Experience

• 10-15 years of experience in risk analytics, quantitative modeling, or model risk

management within banking or financial services

• Master’s degree (or higher) in Finance, Mathematics, Statistics, Economics, or related quantitative field
• Strong experience working with global banks/financial institutions and/or leading

consulting firms

• Deep expertise in end-to-end model lifecycle management, including model

development, validation, governance, and deployment

• Strong understanding of regulatory frameworks such as SR 11-7, Basel III/IV,

CCAR/DFAST, IFRS9/CECL, FRTB, and IRB frameworks

• Hands-on experience across credit, market, or enterprise risk models
• Certifications such as FRM, CFA preferred
• Experience with risk analytics and modeling ecosystems, including:
• Programming and analytics tools (Python, SAS, SQL, or similar)
• Advanced statistical and machine learning techniques (regression, time series,

survival models, tree-based methods, neural networks)

• Modern data platforms (Snowflake, Databricks) and cloud ecosystems (AWS,

Azure, GCP)

• Model lifecycle tools, governance platforms, and analytics environments
• Data visualization tools (Power BI, Tableau, or similar)
• Experience applying advanced analytics, AI/ML, and automation to model lifecycle and risk management is highly desirable