Overview

DATA SCIENTIST

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.

You will

 

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.
Qualifications

Essential requirements

 

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

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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”