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Description
Responsibilities
- Responsible for end-to-end risk strategies including underwriting, limit assignment, risk based pricing and tenure eligibility.
- Manage the existing users’ life time value through post loan management including limit adjustment
- Develop and track key indicators from both internal and external data sources to detect abnormal risk trends and optimize risk strategies.
- Conduct data analysis on risk exposure and profitability to identify opportunities for product and strategy improvement. Provide credit risk insights and recommendations to internal teams and stakeholders.
- Assess business operations and market trends to enhance competitive positioning.
- Collaborate with Data Science, Business Development, and Product teams to launch new initiatives and grow the business while controlling risk
- Bachelor’s or Master’s degree in Math, Physics, Statistics, Quantitative Finance, Statistics, Computer Science, Economics, Business Analytics, Data Science, or other quantitative fields.
- Minimum 3 years experience in a quantitative role. Prior experience in Retail/Institutional Banking, Consumer/SME Finance, Supply Chain Finance, e-Commerce, Consulting, or Credit Ratings is a plus.
- Hands-on experience with making impactful business decision through analyzing large data set
- Experience with conducting A/B tests to verify hypotheses that lead to actionable items to improve the business
- Proficiency in SQL, Python, Excel, PPT.
- Strong attention to detail and ability to identify data inconsistencies.
- Effective communication skills to present complex insights to technical and business stakeholders.