Credit Risk Quant

ERM Placement Services; Indore District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

ERM Placement Services in Mumbai is seeking a Manager-Credit Risk Quant with 6–8 years of experience to lead credit risk analytics engagements for banks and financial institutions. You will develop and validate PD, LGD, EAD, and ECL models, advise on Basel IFRS 9, and drive risk governance and enterprise risk initiatives.

As a client-facing leader, you will mentor teams, present to CXO-level stakeholders, and help design risk solutions aligned with regulatory requirements and business goals.

Qualifications

• Expertise in credit risk analytics, PD/LGD/EAD/ECL modelling.
• Knowledge of Basel Accords and IFRS 9 (ECL) regulatory requirements.
• Experience with ERM and credit risk governance.
• Strong client-facing experience and ability to engage CXO-level stakeholders.

Responsibilities

• Lead credit risk consulting engagements for banks, NBFCs and financial institutions.
• Develop, review, and validate PD, LGD, EAD, ECL models and portfolio pooling methods.
• Advise on credit risk management, regulatory compliance, and enterprise risk initiatives.
• Interpret Basel and IFRS 9 requirements and implement them in client solutions.
• Assess credit policies, processes, governance, and scoring methodologies.
• Collaborate with clients to design effective risk management solutions.
• Present insights to senior stakeholders and CXO-level executives.
• Lead project teams, mentor members, and ensure timely delivery.
• Support proposals and identify growth opportunities with clients.

Skills

Credit risk analytics

Regulatory frameworks

Quantitative risk modeling

Leadership

Stakeholder management

R

Python

Communication

Client engagement

IFRS 9

Basel Accords

ERM governance

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.