Confident Financial Solutions Data Scientist - Boulder CO in Boulder, Colorado

Data Scientist, Analytics

Boulder, Colorado | United States

POSITION SUMMARY: Confident Financial Solutions is based in Boulder, CO with an office in Mesa, AZ. Candidate must reside within the Boulder/Denver region. We are the leading provider in automotive repair financing, and we are passionate about making a difference in people’s lives by getting them back on the road. CFS brings together smart, talented people from diverse backgrounds who are committed to building the best financial technology company in the country. We are seeking a Data Scientist to join our dynamic team.

Analytics at Confident Financial Solutions

As a Data Scientist, you will be a part of our Analytics team. Analytics is a cross functional team that also collaborates with sales, operations, risk management, and engineering. The team leads large ambitious initiatives and develops data-driven frameworks for all business areas. We are crucial to strategic decision-making at CFS and closely interact with our executive team on a regular basis. Our team is growing, and we are looking for smart people who love data and want to make a big impact at a start-up.


  • Design, create, analyze, and implement various statistical models and reports regarding underwriting, fraud, pricing, collections, marketing, and sales

  • Perform ad-hoc and deep-dive analyses to uncover business insights to drive growth

  • Support, monitor and optimize existing models

  • Monitor and tune existing data science solutions

What We Are Looking For

  • Bachelor’s Degree in a quantitative discipline (mathematics, engineering, economics, etc.). Master’s Degree preferred.

  • 3+ years of experience in an analytical role, preferably in the financial services industry- consumer finance or banking. Experience in consumer credit risk is a plus

  • Expertise in SQL, data science programming language (R/ Python) and Excel

  • Solid understanding of statistical concepts and machine learning e.g. hypothesis testing, regression, clustering, etc.

  • Ability to identify trade-offs and limitations of algorithms/models regarding its impact to implementation or reporting

  • Excellent organizational skills, attention to detail, an ability to communicate technical ideas to a variety of audiences

  • Experience using a self-service analytics tools/ model deployment platform like Alteryx