Splash Financial

Data Scientist, Credit

Splash Financial

full-time

Posted on:

Origin:  • 🇺🇸 United States • Ohio

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Salary

💰 $110,000 - $130,000 per year

Job Level

Junior

Tech Stack

PythonSQL

About the role

  • Shape the future of lending programs by leveraging data, building models, and presenting insights that influence business strategy.
  • Analyze and interpret complex data to uncover actionable insights that drive business decisions.
  • Develop clean, efficient Python code to support data analysis, automation, and modeling.
  • Conduct robust quantitative analyses to identify risks and opportunities, supporting growth while managing credit performance.
  • Present insights and recommendations to the Credit Committee and lending partners with clarity and impact.
  • Collaborate closely with leadership, cross-functional teams, and lending partners to identify opportunities and mitigate risks.
  • Contribute to a collaborative, fully remote culture by sharing ideas, knowledge, and best practices.

Requirements

  • A strong quantitative mindset—naturally curious and confident working with large datasets.
  • Creativity and a willingness to challenge assumptions with fresh perspectives.
  • 1–2 years of hands-on experience with SQL and Python for data queries and A/B testing analysis (required).
  • Fintech or credit risk experience is a plus.
  • Familiarity with loss forecasting models in Python (big plus).
  • Excellent communication skills—able to collaborate across teams, influence stakeholders, and present findings effectively.
  • A bachelor’s degree in a quantitative field (master’s degree preferred).