Senior Data Scientist, Credit/Fraud Analytics

| Greater NYC Area
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Join the Ocrolus rocket ship!


Ocrolus is a fintech infrastructure company that transforms documents into actionable data with over 99% accuracy. Designed to streamline document-driven workflows and automate high-stakes financial decisions, Ocrolus is trusted by leading fintechs like SoFi, LendingClub, Cross River Bank, BlueVine, Enova, and Plaid, to name a few. 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. Ocrolus has raised over $50 million in venture capital, backed by Oak HC/FT, FinTech Collective, Bullpen Capital, and QED Investors, among others. 


We pride ourselves on being a dynamic, diverse team, unified by shared values of Ownership, Optimism, Objectivity, Humility, Urgency, and Appreciation. We love what we do and the people we do it with, which is why we invite our team to bring their full selves to work every day.


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).

Our employees are incredible individuals - that’s the only kind we hire - and we’re committed to their well-being and supporting their efforts to become the best they can be, both at work and in life. This includes offering flexible working hours, unlimited PTO, Summer Fridays, an inclusive work environment (D&I Council), and wellness reimbursement for physical and mental well-being. 


We’re growing rapidly and were recently named #1 Fastest-Growing Fintech Company on the Inc. 5000, and #1 Fastest-Growing Software Company in NY in Deloitte’s Technology Fast 500. If you have ever wanted to jump on a rocket ship as it’s taking off, now is your chance!


Ocrolus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


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Location

Ocrolus is in the heart of New York City’s Financial District, occupying an ultra-modern space with a stand-out view across the Hudson River and the Statue of Liberty. We also have satellite offices around India in Gurgaon, Jaipur, and Noida.

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