Credit Risk Quant

ERM Placement Services

Nagpur District

On-site

INR 3,000,000 - 5,200,000

Full time

9 days ago

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Job summary

ERM Placement Services in Mumbai seeks a Manager Credit Risk Quant to lead credit risk analytics and regulatory compliance engagements for Banks, NBFCs and financial institutions.

The role requires expertise in PD, LGD, EAD, ECL modeling and Basel IFRS 9, with client-facing leadership and the ability to deliver high-impact risk solutions.

You will mentor project teams, shape risk strategies with CXO stakeholders, and contribute to business development through strong client relationships.

Qualifications

  • Hands-on experience in credit risk model development and validation (PD, LGD, EAD, ECL).
  • Strong knowledge of Basel Accords, IFRS 9 and regulatory requirements.
  • Experience in Enterprise Risk Management and risk governance.
  • Proficiency in quantitative analysis using R or Python.
  • Excellent communication and stakeholder management.

Responsibilities

  • Lead credit risk consulting and analytics engagements for Banks and NBFCs.
  • Develop, review, and validate credit risk models (PD, LGD, EAD, ECL).
  • Advise on credit risk management, regulatory compliance, and ERM initiatives.
  • Interpret Basel IFRS9 frameworks and implement them.
  • Assess credit policies, underwriting processes, and risk governance.
  • Collaborate with clients to design risk management solutions.
  • Present recommendations to CXO-level executives.
  • Lead project teams, mentor members, and ensure timely delivery.
  • Support proposals and business development with client relationships.

Skills

Credit risk modeling
Regulatory frameworks
Basel IFRS9 knowledge
Enterprise risk management
Credit policy & processes
R or Python
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.

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