Data Scientist (Consumer Credit Risk)

| Greater NYC Area
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At QuadPay, we want to transform the way shoppers pay for their purchases. More than 60% of millennials don’t own a credit card. 57% of Americans have less than $1,000 in savings. We’re helping people make larger purchases accessible with responsible budgeting. We believe in choice and in giving shoppers the freedom and flexibility to manage their purchases in the way that best suits their finances.

Technology is changing the way people interact with the world and we’re bringing that revolution to the way people shop and transact. QuadPay is one of the fastest growing fintech start-ups, that allow shoppers to buy anywhere, at anytime - and pay in 4 interest-free, automatic installments over 6 weeks. You get the product right away and QuadPay will pay the merchant upfront. 

Come join our mission!

What You Will Do:

  • Build models and predictive tools that assist QuadPay in making smart decisions at the point of transaction with respect to new and existing customers who want to transact 
  • Build algorithms and models designed to minimize loss rate while maximising approval rates across our merchant base
  • Regression test algorithmic changes and push successful tests into production then test, measure and iterate 
  • Critically interrogate data and patterns then compiles learnings into insights and turn these insights into features
  • Find new and useful data sources and build into our models
  • Maintain data models, set and benchmark against performance thresholds and monitor performance of our decisioning in real-time

What You Should Have:

  • 2- 4 years experience performing quantitative analysis within self-directed roles. Experience with credit/fraud risk modeling is preferred.
  • Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred
  • Practical hands-on experience in the development and implementation of new predictive models and comfortable in learning new statistical tools and techniques.
  • Ability to visualize and communicate sophisticated data and models to all audiences.
  • Specific demonstrated experience, knowledge, accuracy and speed of execution in Powerpoint, Excel, Excel VBA and R (knowledge of other programming knowledge and/or Stata is a plus)
  • Highly motivated, versatile, capable of working independently with demonstrated initiative
  • Hands-on experience and familiarity with machine-learning techniques, statistics, and optimization
  • Ability to derive insights that will have positive impact and the ability to turn these into production ready solutions
  • Native in R, Python or similar and SQL is a necessary

We're looking for someone who can join our high-functioning team of passionate support professionals and we value a range of diverse backgrounds experiences and ideas. We pride ourselves on diversity and creating an inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, military and/or veteran status, or any other protected classes.

We're growing very quickly and always looking for talented people to join our team and help transform the way consumers shop and pay!

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Location

Our office is located in the beautiful Flatiron neighborhood of New York City and is half a block from Madison Square Park!

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