Outcome
Deliver business solutions via a collaborative approach to make optimal consumer credit and underwriting decisions. Do this by:
Analyzing data
Building predictive models
Monitoring portfolio performance
Identifying opportunities to improve profitability
Analyze portfolio to determine the most effective way to increase financial inclusion whilst minimizing credit risk exposure
Being creative in creating new features from available data
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, strong Git change control practices
You
Thrive in a cooperative, dynamic environment
Are passionate about developing efficient data structures to support an analytics function
Have strong quantitative, problem-solving, and project management 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
Recommended Experience
We expect candidates to have at least four-five years of practical experience in a role requiring: the development of consumer credit scorecards, frequent use of SQL / R / Python
Recommended Education: Strong quantitative degree: Math, Statistics, Actuarial Science, Engineering
Other Details
Angaza is a for-profit company with headquarters in Nairobi and San Francisco.
Employees receive salary and competitive benefits that include:
Company-sponsored private medical plan
Pension plan with company contribution
Flexible scheduling and time off policies
Knowledge that you’re making a positive impact on the world every day you come to work!
Apply via :
jobs.lever.co
