The Data Scientist (Credit Risk Management) is responsible for providing data driven strategies and initiatives that help both fuel growth of the portfolio as well as protect the business from losses. As part of this team you will have the opportunity to develop credit modules, sophisticated strategies, perform cutting edge analysis and drive projects that improve the customer experience and deliver improved profitability for our business. You will have unparalleled exposure to Senior Leadership and be part of a dynamic, fast paced and growing division within the company.
Work closely with Head of Credit to review and enhance Upgrade’s underwriting practice (strategy, credit policy, and model use) to achieve results within Upgrade’s credit risk tolerance ∙ Develop and implement data-driven strategies using statistical tools
Partner with senior team members to identify delinquency/loss trends and develop credit policies to optimize investor returns
Back-test credit strategies using historical performance and review impact of credit expansion/tightening
Monitor return and risk performance of the credit portfolio and communicate insights.
Bachelor’s degree with 1-3 years of experience in in portfolio/risk analytics, preferably at a financial institution (or Master’s degree in Data Science/Analytics, Mathematical Finance, Economics, or a related quantitative field)
Strong programming skills in Python
Advanced experience in SQL
Experience with Tableau or other BI/data visualization tools a plus
Detail oriented and strong analytical skill set
Proactive, driven, and ability to work in a fast-paced environment
Fintech lender experience a plus
MODE OF APPLICATION
Click “APPLY FOR JOB” button above to apply for this job.
If any of the above roles defines you, simply submit your application
by 31st May 2022.
NOTE; USE THE JOB TITLE AS THE SUBJECT LINE.
Only Qualified Candidates will be contacted.
“Partnering With You For Better Performance”