Credit Risk Quant

ERM Placement Services; Ahmedabad District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

ERM Placement Services in Mumbai seeks a Manager-Credit Risk Quant to lead credit risk analytics engagements for Banks, NBFCs, and other financial institutions. You will develop, review, and validate models (PD, LGD, EAD, ECL) and provide advisory on risk management and regulatory compliance.

The role requires client-facing leadership, strong communication with CXO-level executives, and mentorship of project teams to deliver high-impact risk solutions across Basel and IFRS 9 frameworks.

Qualifications

• Strong understanding of wholesale, retail, and alternative lending products.
• Hands-on credit risk model development and validation covering PD, LGD, EAD, ECL.
• In-depth knowledge of Basel Accords, IFRS 9 (ECL), 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 Python or R.
• 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, review, and validate credit risk models (PD, LGD, EAD, ECL) and portfolio pooling methodologies.
• Provide advisory on credit risk management, regulatory compliance, and enterprise risk management initiatives.
• Interpret and implement Basel IFRS 9 frameworks.
• Assess and enhance credit policies, underwriting processes, risk governance, and credit rating methods.
• Collaborate with clients to understand business requirements and design risk management solutions.
• Present recommendations to senior stakeholders, including CXO-level executives.
• Lead project teams, mentor members, and ensure timely delivery of engagements.
• Contribute to business development through proposals and client relationships.

Skills

Python

R

Credit risk modeling

Regulatory knowledge

Leadership

Stakeholder management

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.