Aptivaa - Credit Risk Analyst - SAS - BFSI Domain

Description:-

- The role involves delivering Risk management consulting solutions to our clients in the Middle East. The candidate is expected to be stationed onsite in KSA extensively.

- The candidate will be eligible for attractive per diem, accommodation and other benefits as per company policy.

- Designation and CTC will be discussed & finalized at the interview stage.

Skillsets:-

- The candidate should have analytics experience with least 4+ years in BFSI domain with sufficient exposure of Credit Risk Analytics

- Must have a strong knowledge of SAS

Qualifications/ Skills:

- Good experience in developing Credit Scorecard, Credit Risk Models.

- Good experience in Developing PD, LGD, EAD, Risk segmentation, cross sell/ upsell models as well as campaign analytics.

- Strong Experience in Statistical techniques like regression, time series, linear/nonlinear optimization etc.

- Hands on Experience in SAS as well as other tools like SQL, R, MS-Excel, VBA, etc.

- Master's or Bachelor's degree in engineering, math, statistics, economics or related field from top-tier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work.

- Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required, overall 4+years of experience.

- CFA/FRM are not mandatory but an added advantage.

- Excellent communication skills 

- Ability to present analysis and findings to the senior leadership of the client

Responsibilities:

- Participate in design of analysis and modeling approach with the client.

- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality and pro-actively working with client's data/ IT teams to resolve issues.

- Use variety of analytical tools (SAS, CART, SPSS etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions.

- Reformulate highly technical information into concise, understandable terms for presentations

- Other tasks as assigned by the client