Data Scientist (AHL)
About The Position
As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience), you’ll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. You will focus on developing and deploying predictive and descriptive models throughout the customer lifecycle, including machine learning models. Additionally, you will conduct strategic analytics and develop BI to monitor program results. You will serve as a strategic thought partner for leaders throughout the company, helping them in identifying and exploiting opportunities where modeling and analytics can add value.
Requirements
- 1-2+ years of experience as a professional data scientist. This is a must.
- Excellent risk modeling and analytic skills.
- Proficient coding skills in SQL and Python/R.
- Keen eye for opportunities to get value from data.
- Ambitious, resourceful, and possessed of excellent judgment as evidenced by steadily growing professional responsibility.
- Strong organizational skills with an ability to manage multiple projects at any given time.
- Strong verbal and written communication skills. In particular, be able to convert highly technical concepts and results into easily understood business value proposition.
- Demonstrated ability to work independently as a self-starter.
- Education in a "hard" quantitative field (e.g. Math, Stats, Economics, Operations Research, etc.), with evidence of outstanding academic achievement. This is a must.
Nice To Haves
- Experience in a regulated industry like banking with hands-on compliance work is a plus.
- Experience developing BI dashboards using Tableau is a plus
- Ideal candidates will have an advanced degree (>= MS), although professional experience and achievement are more important.
- Experience in consumer lending domain (secured/unsecured loans, credit cards, etc.) or fintech lending environment.
- Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.
- Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus.
- Experience working with capital markets and servicing businesses.
- Knowledge or working experience in loan-level economics, yield curves, margins/profitability, etc.
- Experience working in the GCP environment.
- A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team.
Responsibilities
- Conduct deep-dive analytics on strategic initiatives
- Access data, run analytics models, solve business problems.
- Understand and influence the pillars of conceptual risk modeling
- Establish and maintain relationships with internal stakeholders.
- Serve as a strategic thought partner for other members of the Data Science team
Benefits
- 401 (k) with employer match
- Medical, dental, and vision with HSA and FSA options
- Competitive vacation and sick time off, as well as dedicated volunteer days
- Access to wellness support through Employee Assistance Program, physical and mental health wellness programs
- Pet care discounts for your furry family members
- Financial support in times of hardship with our Achieve Care Fund
- A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
