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 prospects, 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.
Robust communication and presentation skills with experience engaging senior leadership and clients.

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