Credit Risk Quant

ERM Placement Services; New Delhi; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

ERM Placement Services seeks a Manager Credit Risk Quant in Mumbai to lead client-facing credit risk analytics engagements across Banks, NBFCs, and financial institutions. You will design and validate PD, LGD, EAD, and ECL models, and interpret Basel and IFRS 9 requirements.

The role demands leadership, stakeholder management, and the ability to present to CXO-level executives while mentoring teams and supporting business development.

Qualifications

• Proven experience in credit risk analytics and model development/validation.
• Strong knowledge of Basel Accords and IFRS 9 (ECL).
• Leadership and client-facing communication skills.

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.

Skills

Credit risk analytics

Regulatory frameworks

Leadership

Stakeholder management

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.