Senior Data Scientist - Credit/Fraud Analytics

New York, NY /
Data /
Full-time
Who We Are: 
Ocrolus is a fintech infrastructure company that transforms documents into actionable data. Powered by Artificial Intelligence and a unique human-in-the-loop data validation process, Ocrolus plugs directly into customer workflows via API, eliminating the need for manual data work. The solution includes built-in fraud detection and analytics, enabling customers to make smarter and faster business decisions with unprecedented precision.

Use-cases include loan underwriting, account openings, invoice processing, and other document-intensive processes. Ocrolus has raised over $30 million in venture capital, backed by Oak HC/FT, FinTech Collective, Bullpen Capital, and QED Investors, among others.


You will advance the ability of Ocrolus to provide impactful analytical tools and models to our clients, leading to high-quality customer decisions and measurable financial impact.  Develop ground-breaking predictive models using Ocrolus data that give lenders a view of risk, profitability, and customer dynamics and can form a winning product solution in the lending market.

Responsibilities:

    • Development of predictive and stable credit and fraud risk models based on cash flow data
    • Feature engineering across multiple sources of novel data, structured and unstructured 
    • Integrating multiple internal and external data sources to inform decision logic
    • Reproducible and technically-sound model development process
    • High-quality model documentation and explainability
    • Model artifacts that can be tested and deployed to production
    • Apply logic, data, and creative thinking to business problems. 
    • Apply statistical modeling in real-world applications
    • Conduct insightful research on data and transform data into useful insights
    • Developing models that can perform with high levels of accuracy, stability, and coverage.
    • Working with modern, cloud-based technologies (preferably AWS stack) and experience training models in the cloud

Requirements:

    • MS with 3+ years of experience in quantitative discipline (e.g. math, statistics, computer science, engineering).
    • Excellent programming skills in Python and/or R. 
    • Excellent SQL skills, comfortable working with relational data models
    • Insistence on understanding the ‘why’ of the problem and the impact of solutions on customer outcomes.
    • Developing models that can perform with high levels of accuracy, stability, and coverage.
    • Strong communication skills, spoken as well as in writing.  Able to present complex and technical topics to various audiences.
    • Ability to manage multiple projects within tight deadlines with little direct supervision

Extra Credit

    • Background in financial services preferred (e.g. business lending, consumer lending, credit cards)
    • PHD and 2+ years of experience in quantitative discipline (e.g. math, statistics, computer science, engineering).

We’re a young and rapidly growing FinTech company - if you have ever wanted to jump on a rocket ship as it’s taking off, now is your chance!