Analyst Credit Portfolio Risk Analytics (CPRA) Retail

Job Name – PA (Business Unit): Analyst– Credit Portfolio Risk Analytics (CPRA)

Job Title : (Job Name)-Analyst-CPRA-Retail

Team : (Sub team in the PA) Credit Portfolio Risk Analytics (CPRA)

Location of role : Mumbai

Job Fn : Model Building/Regulatory Reporting/Risk Estimation/Portfolio monitoring/EWS and Rating Ops

Role Type: Individual Contributor

No of direct reportees: NIL

Travel Required: Moderate

• Job Purpose: The person's primary responsibility will be Project implementations through Modeling (rating Models, pooling models, Macro Economic Models), Risk Estimation Computation for the Bank's exposure, Portfolio Monitoring and Internal Rating Ops and Regulatory reporting to RBI.
• The role will involve Projects on Automation and Implementations, Liaising with Finance, Operations, IT and Policy Units, Active engagement with Senior Management

Job Responsibilities(JR) : 6 – 8 Areas

Actionable (4-6)

Work Areas

As part of the Credit Portfolio Risk Analytics (CPRA)team the candidate would be working on:

1. Develop statistical/ judgmental models to accurately capture inherent credit risk in underwriting and track model performance on an ongoing basis
2. Estimate risk parameters such as PD, LGD and CCF to be used for Bank's risk management and reporting purposes
3. Develop Risk Dashboard covering various dimensions to monitor the portfolio, conduct industry analysis and outlook assessment
4. Designing of new early warning triggers by tapping various internal/external sources, rollout of various MIS pertaining to internal ratings
5. Regulatory reporting as per Basel capital computation standards (Standardized and Advanced IRB approach), provisioning computations as per IndAS, IFRS and CECL guidelines
6. Conduct Stress testing on the Bank's portfolio
7. Presentation and review with senior management

Educational Qualifications (examples listed below)

Key Skills(examples listed below)

Post-graduate degree (preferably in Statistics or an MBA or Economics degree with a strong quantitative underpinning) from a respected institution with an outstanding academic record.

• 1-4 years of professional work experience with a reputed bank, insurance, other financial firm or analytics firm with at least two years of experience in risk management.
• Candidates must demonstrate both a strong business sense and deep understanding of the quantitative foundations of risk management
• Strong understanding of Basel and IFRS/INDAS/CECL guidelines
• Experience and familiarity with tools like SAS, SQL, R etc
• Strong Interpersonal / Communication skills
• Candidate should have sound knowledge on topics like Multivariate Statistics, Econometrics Analysis, Decision Tress (like CART, CHAID, etc).
• Knowledge of Predictive credit risk modelling

Experience Required(examples listed below)

• Experience of 1+ years & above in credit risk management in wholesale banking from reputed financial house
• Exposure to banking preferable

Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties) (examples listed below)

• Operations Team
• Policy Team
• Credit Underwriting Team
• Finance Team
• IT Team
• Risk Analytics team
• Audit Team
• Validation Team