Role Summary
Looking for an opportunity to use your analytical skills and business insight to alleviate poverty and empower access to financial services? Angaza is building a modern analytics practice around a deep commitment to our core values, high-quality tools, proven development practices, and a philosophy of continuous professional improvement, and we need you to help us make that vision a reality! You will interface with colleagues across the company to develop a deep understanding of the sources of our various data streams as well as design consumer credit and decision models that will best support the business.
Outcomes
Deliver business solutions via a collaborative approach to make optimal consumer credit and underwriting decisions
Do this by:
Analysing data
Building and monitoring predictive models (Credit Scorecards and other ML Models)
Monitoring portfolio performance
Identifying opportunities to improve profitability and portfolio health
Being creative in creating new features from available data
Evaluating new data sources in terms potential predictive lift
Competencies:
Strong SQL skills
Proficiency with an open source data science language for building predictive models (Python, R)
Experienced in building and evaluating Credit Scorecards
Understanding of retail credit / unsecured consumer lending / BNPL products
Strong business insight and appreciation of the challenges facing growing businesses.
Bonus if you have:
Any experience working with alternative data such as mobile money transactions
Git change control practices
You:
Have a minimum of 3 years experience as decision scientist working in a consumer lending/credit environment
Are highly proficient in working with SQL and Python or R
Thrive in a cooperative, dynamic environment
Have strong quantitative and problem-solving skills
Demonstrate excellent written and verbal communication skills
Pride yourself on attention to detail
Exhibit a strong tendency towards self-management
Exemplify Angaza’s key values: maximizing impact, empathetic, courageous, trustworthy, curious, and collaborative
Apply via :
angaza.applytojob.com
