Aura is a technology company that provides small, affordable loans to working families in America. We give our customers access to fairly priced credit and we help them build up their credit scores. We have raised over $100M to date from investors including First Mark Capital, Revolution Ventures and Coppel Capital. We have been named to the INC 5000 Fastest Growing Companies in America, American Banker's 2019 Best Places to Work in Financial Technology and we are ranked #23 on the San Francisco Business Times' Top 100 Fastest Growing Private Companies.
We are fighting for economic justice.
Aura is focused on helping real people in communities that have been neglected, forgotten or actively exploited by predatory lenders.
We are not making products for the 1%. We are making products for millions of hard-working Americans who don't have access to affordable credit.
We believe in people's potential.
We believe that when the communities we serve succeed, we succeed.
Amazing people and technology are at the heart of our mission.
We are growing. Our product works. If you are interested in being a part of this, then we want to talk to you!
Aura is searching for a Senior Risk Analyst in Risk Management. Risk management is core to our business; making the right lending & investing decisions is key to delivering responsible loan products to our customers and robust, high-performing assets to our investors. We are a lean, tightly-knit team looking for a hands-on problem solver who can apply creative, non-traditional ideas to raw data in order to come up with high-impact solutions for the underserved demographic base we serve.
The candidate will:
Develop predictive models for risk scoring, fraud detection, marketing campaigns, etc.
Create large-scale platform tools for portfolio monitoring & predictive analytics
Design the logical layer of Credit Risk data infrastructure and manage Credit Risk data integrity
Manage risk underwriting strategies for optimal portfolio performance (tasks include model
building, line assignment optimization, segmentation for risk control/expansion, design & monitoring of performance metrics, etc.)
Collaborate with teams from Engineering, Capital Markets, Originations & Finance for implementation, auditing & monitoring of risk strategies
Support new company initiatives by building forward looking projections and providing credit risk insight
The ideal candidate will have:
A master's degree in a quantitative field or 1+ years of consumer finance experience in credit risk, fraud prevention or credit scoring (both is a plus!)
Proven track record of using data insights to communicate business recommendations
Expertise in SAS, SQL, and Excel
Experience in Python, Java (a plus)
Understanding of consumer lending market (a plus)