Credit Risk Quant

ERM Placement Services; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

ERM Placement Services seeks an experienced Manager-Credit Risk Quant to lead credit risk analytics engagements for Banks, NBFCs, and financial institutions from Mumbai. The role requires deep expertise in PD/LGD/EAD/ECL, Basel IFRS 9, and enterprise risk governance, with client-facing leadership across engagements.

You will mentor teams, shape risk solutions, and contribute to business development while communicating insights to CXO-level stakeholders.

Qualifications

• 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.

Responsibilities

• Lead credit risk consulting and analytics engagements for Banks, NBFCs, and other financial institutions.
• Develop and validate PD, LGD, EAD, ECL models and portfolio pooling methodologies.
• Provide advisory on credit risk management, regulatory compliance, and enterprise risk management initiatives.
• Interpret Basel Accords and IFRS 9 (ECL) frameworks and ensure alignment.
• Assess and enhance credit policies, underwriting processes, risk governance, and scoring methodologies.
• Collaborate with clients to understand business requirements and design effective risk solutions.
• Present recommendations and insights to senior stakeholders, including CXO-level executives.
• Lead project teams, mentor team members, and ensure timely delivery of engagements.
• Contribute to business development by supporting proposals and building client relationships.

Skills

Credit risk analytics

Regulatory frameworks

Quantitative risk modeling

Leadership

Client-facing

Risk governance

Communication

Stakeholder management

Tools

Python

R

Job description

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 strong 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.