Back
PwC brand and Mumbai metro increase competition, but specialized credit-quant skillset narrows the candidate pool.
Credit risk modeling and regulatory IFRS9 expertise are highly domain-specific and less transferable across industries.
Explicit 6+ years, domain-specific IFRS9/modeling skills and professional qualifications increase screening rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own advisory responsibilities in credit risk for Banks and NBFCs, focusing on credit policy, credit risk modeling, regulatory compliance, and process assessment.
Lead and manage credit risk model development and validation for wholesale and retail lending, including estimation of risk parameters like PD, LGD, and EAD.
Provide regulatory compliance advisory related to Basel Accords, IFRS 9 (ECL), and participate in enterprise risk management integration and client engagements including CXO-level presentations.
Minimum 2 years experience in credit risk analysis or advisory within Banks, NBFCs, Rating Agencies, Consulting Firms, or Analytical Software Companies; 6 years preferred for postgraduate or CA candidates.
Mandatory skills: Credit Risk Analytics and hands-on experience with credit risk models and regulatory frameworks such as Basel Accords and IFRS 9.
Education: Chartered Accountant or Postgraduate degree (MBA or equivalent) with relevant experience.
Proficiency in at least one programming environment such as R or Python is preferred, but not mandatory.
Experienced professional with background in mid office credit policy, credit scoring and regulatory credit risk compliance within financial institutions.
Ability to lead and motivate teams in credit risk areas, translate client requirements into business propositions, and manage client relationships with strategic decision-making capability.
Comfortable with technical advisory roles and interacting with senior client stakeholders, including CXO level presentations and revenue responsibility.