Quantitative Research Analyst

Job Responsibilities:-

Algorithm Development:

- Create algorithms to assess individual creditworthiness using various financial and non-financial parameters

- Ensure algorithms analyze both traditional credit data and alternative data sources

- Analyze customer behavior data to refine algorithms and adapt to market conditions

Data Management:

- Manage data sets and collaborate with data engineers to ensure efficient data storage and retrieval systems

Model Validation and Testing: - Test and validate models using historical data to ensure reliability and accuracy

Regulatory Compliance: - Ensure algorithms adhere to relevant regulatory guidelines related to credit scoring and lending

Collaboration with Cross-Functional Teams: - Work with product managers, software developers, and UX designers to integrate algorithms into products and enhance customer experience.

Documentation and Reporting: - Maintain documentation for developed algorithms and generate performance reports with insights and recommendations

Stakeholder Communication: - Communicate quantitative findings and algorithm changes to non-technical stakeholders

Skills Required

- Collaborative and result oriented

- Structured approach of thinking and execution

- Proficient in programming (e.g., Python, R, SQL) and familiar with data analysis tools