Data Scientist (Statistical Modeler) - Credit Risk

LOCATION New York
SALARY $150,000 - $180,000

How would you like to be a Data Scientist at a leading business financial lender? They provide capital funding to small businesses with a simple and seamless process like no other. They have provided over $2 billion to more than 25,000 business owners nationwide!

 

What's The Job?

As a Data Scientist on this team, your main focus will be building Statistical Models. You will be part of the company's push to build out their Machine Learning and AI infrastructure and figuring out the future roadmap driven by different modeling techniques. You will be seeing the modeling process through from start to finish and owning the entire data pipeline.

This will be a highly visible role and your work will have a direct impact on company success. You'll be operating in the arena of credit risk and fraud.

 

Who Are We?

This company provides a customized funding approach by listening and understanding customer needs. Their funding spans across many different verticals and have provided millions of dollars to each industry. 

This company is technology driven and allows for the ability to deliver capital to their customers in as little as 72 hours from approval.

 

What Skills Do You Need?

  • 5+ years of experience building models in a professional work environment
  • Statistical modeling experience is required
  • Python/R
  • SQL
  • Snowflake
  • Masters or PhD in Statistics or STEM field
  • Ideally coming from financial services

 

Compensation:

  • $150,000 - $180,000
  • 10% bonus
  • Full Benefits Package (Vision, Dental, Health)
  • 401(k) with matching
  • Fully remote or can be hybrid in NYC or Miami

 

What's In It For You?

This is an opportunity for a highly impactful role that will directly correlate to the company's success. If you're interested in supporting small businesses and have a passion for the financial space, this is the place for you.

interested?

APPLY NOW
Mark Howland

Talent Advocate, Data Science & Data Analytics

(646) 661-4220
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