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Distributor Finance Fund (DFF): Conduct statistical analyses to drive optimal decision-making across DFF's risk management lifecycle (sourcing, underwriting, portfolio mgmt)Develop statistical model(s) using end-client transaction data to assess credit risk of PAYG distribution businesses
Decision Science: Create forecasting tools for customer performance and customer segmentation by correlating leading indicators with their success
Product: Collaborate with our engineering team to develop new data science product features
Thought leadership: Set the direction of our data science practice, mentor other data team members, and effectively communicate methodology and findings with internal and external stakeholders
Competencies and Expertise:
Statistics: Well-versed in advanced statistical methods (regression, confidence intervals, classification, linear algebra, Monte Carlo simulation, etc.), with demonstrated professional experience leading the design and deployment of statistical models
Programming Skills: Experience deploying data science tools in your preferred programming language. (Our BI and Engineering teams currently operate mostly in Python.)
Credit risk analysis: Experienced in evaluating credit risk (emerging market consumer lending; small/ medium business lending; or PAYG sector knowledge a plus)
Resourcefulness: Comfortable working to solve ambiguous problems in new subject areas with a flexible approach
Cross-functionalcollaboration: Able to work effectively with others from a range of functions and backgrounds (e.g., customer credit, engineering, and product teams, as well as DFF investors)
Thrive in a cooperative, dynamic environment
Are passionate about presenting data that communicates complex information in a straightforward way
Have strong quantitative, problem-solving, and project management skills
Demonstrate excellent written and verbal communication skills
The strongest candidates will have approximately ten years overall advanced educational and work experience and at least three years experience in one or more of the following categories:
Demonstrated experience in leading design and deployment of data science models / tools
Assessing credit risk (consumer and/or small/medium business, direct experience in emerging markets preferred) using statistical methods
Supporting executive decision-making through descriptive and statistical analysis at an early-stage organization
San Francisco Office Preferred, must have significant time zone overlap with our SF-based team members. Note that Angaza's customers largely operate in Africa and you may need to be available for phone calls on their schedules.
Angaza is a for-profit company with offices in San Francisco and Nairobi. Employees receive salary, an equity stake in Angaza, and benefits that include:
Competitive health benefits including medical, dental, vision, life, disability, HSA, & FSA
401(k) with company match
Fully paid parental leave
Flexible scheduling and time off policies
Knowledge that you're making a positive impact on the world every day you come to work!
Our Commitment to DEI:
At Angaza, we evaluate all candidates on the basis of their ability to meet stated job requirements. We do not discriminate against candidates on the basis of sex, gender, marital status, religion, nationality, or other personal characteristics. In keeping with our commitment to supporting a safe and inclusive workplace, we strongly encourage candidates from traditionally underrepresented backgrounds to apply.