A top performing consumer lending Fintech firm is looking to build out its strategy and analytics platform focusing on multiple products across the business. This role will work closely with the data science and engineering teams to develop and implement strategies with regards to acquisitions, retention, line management and collections. This would be a good opportunity for candidates looking for strong exposure within retail lending products as the business offers personal loans, peer-to-peer lending and pre-payday loans.
Responsibilities:
- Collect and effective utilize data and present findings of your analysis regarding underwriting, account management and collections.
- Assist with redevelopment of risk management data infrastructure
- Work closely with model developers and engineers to monitor performance and identify any existing issues with regards to underwriting process.
- Stay up-to-date and serve as subject matter expert for market trends regarding each product line.
Requirements:
- 1-3 years of experience in credit risk analytics.
- Master's degree or above in any STEM field is preferred but not required.
- Proven experience using Python, SQL, SAS, MATLAB for statistical analysis.
- Prior experience drafting management reports and risk analytics documentation.
- Exceptional communication and problem solving skills.