Manager-Credit Risk Quant

Location: Mumbai

Experience: 6 to 8 Years

About the Role

We are looking for an experienced Manager Credit Risk Quant to join our Financial Risk & Regulations practice. The ideal candidate will possess strong expertise in credit risk analytics, regulatory frameworks, and quantitative risk modeling, with experience across banking and financial services. This is a client-facing role requiring leadership capabilities, strategic thinking, and the ability to deliver high-impact risk solutions.

Key Responsibilities

- Lead credit risk consulting and analytics engagements for Banks, NBFCs, and other financial institutions.
- Develop, review, and validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Expected Credit Loss (ECL), and portfolio pooling methodologies.
- Provide advisory on credit risk management, regulatory compliance, and enterprise risk management initiatives.
- Interpret and implement regulatory frameworks such as Basel Accords and IFRS 9 (ECL).
- Assess and enhance credit policies, underwriting processes, risk governance, and credit rating/scoring methodologies.
- Collaborate with clients to understand business requirements and design effective risk management solutions.




- Present recommendations and insights to senior stakeholders, including CXO-level executives.
- Lead project teams, mentor team members, and ensure timely delivery of high-quality client engagements.
- Contribute to business development by supporting proposals, identifying growth opportunities, and building solid client relationships.

Required Skills & Experience

- Strong understanding of wholesale, retail, and alternative lending products, including Microfinance.
- Hands-on experience in credit risk model development and/or validation covering PD, LGD, EAD, ECL, and related methodologies.
- In-depth knowledge of Basel Accords, IFRS 9 (Expected Credit Loss), and credit risk regulatory requirements.
- Experience in Enterprise Risk Management (ERM) and credit risk governance.
- Exposure to credit policy, credit processes, risk scoring, rating models, and regulatory compliance.
- Proficiency in quantitative analysis using R or Python is preferred.
- Excellent analytical, problem-solving, and stakeholder management skills.
- Strong communication and presentation skills with experience engaging senior leadership and clients.

📌 Credit Risk Quant (Mumbai)
🏢 ERM Placement Services
📍 Mumbai