Credit Risk Quant

ERM Placement Services; Hyderabad; On-site; INR 380,000 - 700,000; Full time

Job summary

ERM Placement Services in Mumbai is seeking a Manager-Credit Risk Quant to lead client engagements in credit risk analytics, model development, and regulatory advisory. You will collaborate with banks and financial institutions to design risk solutions and present findings to senior leadership.

The role requires strong expertise in Basel Accords, IFRS 9, and enterprise risk governance, with hands-on experience in PD/LGD/EAD modeling and proficiency in R or Python.

Qualifications

• Experience in credit risk analytics for banking/financial services.
• Lead model development and validation across PD, LGD, EAD, ECL.
• Advisory on regulatory compliance and enterprise risk management.
• Ability to interpret Basel IFRS9 requirements for credit portfolios.
• Strong communication with senior stakeholders.

Responsibilities

• Lead credit risk consulting and analytics engagements for Banks, NBFCs, and financial institutions.
• Develop, review, and validate credit risk models (PD, LGD, EAD, ECL).
• Provide advisory on credit risk management and regulatory initiatives.
• Interpret and implement Basel IFRS 9 (ECL) requirements.
• Assess and enhance credit policies, underwriting, governance, and scoring.
• Collaborate with clients to design risk management solutions.
• Present recommendations to senior stakeholders, including CXO-level executives.
• Lead project teams and mentor members to ensure timely delivery.
• Contribute to proposals and business development with clients.

Skills

Credit risk modelling

PD/LGD/EAD/ECL

Basel/IFRS 9

Enterprise Risk Management

Risk governance

Credit policy & scoring

Quantitative analysis (R/Python)

Stakeholder management

Tools

R

Python

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.