Job Description
We are seeking a dedicated professional to join our BNPL Risk team with 4-8 years of experience in FinTech, preferably in the Buy Now, Pay Later (BNPL) sector.
Roles and Responsibilities
- Conceptualizing the credit assessment ML models and policies, and the enhancements in these using the regular and alternate data
- Constantly finding ways to get access to the newer alternate data that can enhance credit assessment
- Designing experiments and simulations to test the cohort behavior and underwriting models.
- Building the data sets that help the future experimentations
- Data led Early warnings, Flow rates, Portfolio under risk, Macro factors Establish a strong feedback loop to enhance the credit assessment models on a weekly basis
- Strong stakeholder management for collaborating with multiple functions and driving the risk mitigation agenda
Requirements
- 4-8 years of relevant Fin-Tech experience, preferably in Digital Unsecured Lending, BNPL and PL ( Consumer )
- Drive and conceptualize projects on Risk and Data science.
- Strong RCA skills along with excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly, both verbally and in written form.
- A background in data science and analytics
- Ability to thrive in a fast-paced, collaborative environment
- Engineering or Masters in Statistics or Data Science
- Clear and confident communication
- Good in stakeholder management
- Prior experience in fast paced Credit Risk policy , Risk Analytics or Decision Science team.
Key skill Required
- Credit Risk
- Analytics
- Collaborative Environment
- Communication
- Critical Thinking
- Data Science
- Lending
- Management
- Risk Mitigation
- Risk Policy
- Science
- Stakeholder Management
- Statistics
- Underwriting
