Manager/Senior Manager/AVP - Credit Risk Analytics

Business understanding:

- Understanding customer lifecycle in personal loans/Credit cards (Origination, Portfolio Management, Collection)

- Loss estimation

- Early warning signal/triggers

- Understanding of credit risk framework

- Segmentation, Profiling

- Credit risk strategy

Analytical requirement:

- SAS (Highly Proficient)

- MS Excel (Highly Proficient)

- Loss Estimation (Highly Proficient)

- Segmentation (Highly Proficient)

- Probability of default (desirable)- Provide analytic support to the Policy/business team, understand the business context, formulate and execute appropriate analytical approach to address the solution

- Develop/own comprehensive end to end solutions to address business problems

- Drive innovative analytical approaches across the broader team and conceptualize and execute solutions to ambiguous problems

- Independently manage end to end partner communication

- Conduct portfolio analytics and deep dives as required by Product. Develop credit strategies across the customer lifecycle of Origination, Portfolio Mgmt and Collections.

- Create insights for Retail Risk by studying portfolio trends, performing necessary analytics such as segmentation, profiling, cut-off setting, stress testing, sensitivity analyses

- Timely identification of shifts in portfolio risk profile and re-aligning risk-measurement tools/codes for effectiveness and continuously enhances data-driven credit decisions

- Provide analytical support to various Risk Reviews, perform adhoc analytical requests to support policy changes

- Embed Group's risk management and decisioning framework in day-to-day work, ideate / self-initiate necessary analytics to drive portfolio performance

Education :

- Highly numerate, as demonstrated by Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability

- Proficiency in SAS is a MUST with proven experience of working with large, complex data. Proficiency in Microsoft Excel is desired. General familiarity with all Microsoft Office applications.

- Sound knowledge of Financial Services products, in particular Retail Banking, is a MUST

- Sound knowledge of Credit Risk is desired with ability to perform related data analysis

- Good written and verbal communication skills

Experience :

- 6-8 Years exposure to Financial Services

- Candidate should have worked in any of the following domain:(Credit Cards, Retail bank, Mortgage, Lending product)

Skills :

Analytical Skills :

- Hands-on working with data

- Proficient in Formulating Analytical methodology, identifying trends and patterns with data

- Business Impact Analysis

- Proficient with hypothesis testing Segmentation, Clustering, Decision trees

- Functional Knowledge in Modeling (OLS, logistics)