Data Scientist

| Greater NYC Area
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About Bond Street
Bond Street is a startup focused on transforming small business lending through technology, data and design. Small business owners are the foundation for growth in our economy, and yet today’s banking system has left them behind. We’re building a better future where access to financing is simple, transparent and fair.
About Our Team
At Bond Street, top engineers from companies like Venmo, eBay, Kickstarter, and Hunch have joined up with finance experts from places like Citibank, Bloomberg, and D. E. Shaw to disrupt the way small businesses finance themselves. We are based in New York City and are backed by an extraordinary group of venture capitalists, entrepreneurs, and financial services executives.
About Your Role
This is a rare opportunity to join a small but fast-growing team, where you will lay the foundation for our Data Science function. We’re looking for an extraordinary Data Scientist who is excited about the opportunity to build a next generation financial services business. We believe that there is a tremendous opportunity to employ cutting-edge data science to inform smarter, faster decision making.
As our founding member of the team, you will shape the company’s data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate with our Chief Credit Officer on developing, validating, and automating our underwriting models. Your models will have a direct impact on our customers in helping them access affordable financing and gain valuable insights to help them grow their business. While a background in financial services is not required, you must be passionate about solving complex data challenges for the good of small businesses everywhere.
What You'll Do
  • Build a foundational data strategy, advancing our credit decisioning & pricing model – optimizing risk and return while dramatically reducing decision cycle times
  • Visualize and analyze Bond Street's complex data sources relating but not limited to: credit underwriting, portfolio management, and financial performance
  • Identify alternative data sources and reliable patterns to improve the efficacy of our models and processes
  • Play a leadership role in the design and execution of ongoing reporting and analytics
  • Collaborate with leadership to improve data-driven decision making within existing processes and systems
  • Proactively identify emerging risks as well as opportunities with our customers
What We'd Like To See
  • You have an Advanced degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields
  • 5+ years experience performing quantitative analysis within self-directed roles
  • Practical hands-on experience in the development, validation, and implementation of new predictive models
  • You are an extraordinary communicator – written and verbal
  • You have the ability to articulate and visualize sophisticated data and models to all audiences
  • Deep understanding of predictive / analytical modeling techniques, theories, principles, and practices
What's Nice To Have
  • You have experience in machine learning, statistical modeling, graph modeling, or data mining techniques
  • Familiarity with rules and regulations of consumer & commercial lending
  • Knowledge of and/or skilled use of Python or mySQL

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Location

New York , NY

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