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Director, Risk Advisory Head of Modelling, Mumbai

Requisition ID:  49283
Business Unit:  Fitch Solutions
Category:  Credit Analysis & Research
Location: 

Mumbai, MH, IN

Date Posted:  May 28, 2026

BMI is currently seeking an Associate Director or Director, Risk Advisory – Credit Risk Modelling, based out of our Mumbai office.

 

BMI's systematic, independent and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions. 


At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community.

 

Want to learn more about a career at BMI? Visit: https://careers.fitch.group/content/BMI/

 

 

About the Team

BMI's Risk Advisory team provides specialist advisory services across credit risk modelling, model validation, IFRS 9 implementation, portfolio analytics and regulatory risk management. Working closely with financial institutions and corporate clients, the team combines deep technical expertise with practical industry experience to design and deliver data-driven risk solutions that support effective decision-making, governance and regulatory compliance.

 

How You’ll Make an Impact: 

 

Credit Risk Model Development & Delivery

  • Develop and review credit risk models using Excel-based rating agency frameworks, Python and statistical techniques including logistic regression, decision trees and ensemble methods.
  • Build and enhance IFRS 9 expected credit loss models, including PD, LGD, EAD and CCF components across both simplified and general approaches.
  • Develop roll-rate-based PD models using customer-level receivables data, portfolio-level data and ageing cohort analysis.
  • Apply advanced methodologies including TTC-to-PiT conversion, Vasicek modelling, survival PDs and term PD structures.
  • Partner with senior subject matter experts to scope engagements, define analytical frameworks and deliver robust, client-ready solutions.

 

Model Validation, Governance & Quality Assurance

  • Conduct credit risk model validations aligned with OCC 2011-12 guidance and Basel requirements, assessing discriminatory power, calibration, model stability and population stability.
  • Perform parameter-level validation including WoE, IV analysis, backtesting and out-of-time performance testing.
  • Evaluate statistical, scorecard and hybrid risk models to ensure analytical integrity and regulatory compliance.
  • Produce clear, defensible and auditable validation reports, technical documentation and client deliverables.
  • Drive continuous improvement through evaluation of new methodologies, technologies and emerging modelling practices.

 

Client & Commercial Partnership

  • Serve as a subject matter expert in client discussions, supporting solution design, proposal development and project delivery.
  • Translate client requirements into practical modelling approaches and commercially relevant analytical outputs.
  • Present modelling methodologies, validation findings and recommendations to both technical and non-technical stakeholders.
  • Identify opportunities to expand client engagements through value-added risk advisory solutions.

 

Technical Leadership & Capability Building

  • Support the development of the wider Advisory team's credit risk modelling and validation capability through mentoring, coaching and knowledge sharing.
  • Create reusable modelling templates, validation frameworks and best-practice guidance to improve consistency and efficiency.
  • Help colleagues develop expertise in statistical modelling, IFRS 9/ECL methodologies, model validation standards and emerging AI-related risk concepts.

 

 

You May be a Good Fit if:

  • Significant hands-on experience in credit risk model development, model validation, IFRS 9/ECL modelling, credit analytics or related risk advisory functions.
  • Strong proficiency in Excel and Python for statistical analysis, model development and validation.
  • Deep understanding of credit risk methodologies, scorecard development, rating frameworks, model lifecycle management and regulatory model governance.
  • Demonstrated ability to independently manage complex analytical projects and client engagements.
  • Strong stakeholder management and communication skills, with the ability to explain complex technical concepts clearly. 

 

What Would Make You Stand Out: 

  • Experience in stress testing, reverse stress testing and scenario-based portfolio analytics.
  • Experience developing or validating Early Warning Systems (EWS) and related monitoring frameworks.
  • Exposure to AI, machine learning or deep learning model validation in credit risk applications.
  • Experience supporting business development activities, proposals and client solution design.

 

Why Choose Fitch: 

  • Hybrid Work Environment: 3 days a week in office required based on your line of business and location
  • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
  • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
  • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
  • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
  • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
  • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

 

 

At Fitch, AI is embedded in how we work every day—supporting smarter decision-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues who are comfortable operating in an AI-enabled environment—or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done.

 

 

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

 

Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. 

 

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