Lead Data Scientist

A highly respected organization is seeking a Lead Data Scientist to tackle complex financial risk problems, uncover multi-million-dollar business opportunities, and deliver analytics that directly influence executive decision-making. This is a high-visibility position where your work will be implemented, measured, and tied directly to business outcomes.

If you’re someone who enjoys owning projects end-to-end, defending your analytical thinking, and seeing your work create measurable financial impact, this opportunity offers a rare combination of technical depth, business influence, and autonomy.

What You’ll Do

• Lead the development of predictive and quantitative models that drive critical business decisions.
• Analyze large-scale financial and credit-related datasets to identify opportunities and risks.
• Build, enhance, validate, and defend sophisticated risk models within a regulated environment.
• Translate complex model outputs into clear financial recommendations and measurable business value.
• Partner directly with senior leadership and executive stakeholders to present findings and influence strategy.
• Own projects from initial problem definition through deployment and business adoption.
• Support external audits and confidently explain model methodology, performance, and governance., You’ll join a lean, high-performing team responsible for identifying and delivering opportunities worth millions of dollars annually. Leadership places significant value on data-driven decision-making, and the right person will have direct exposure to executives while maintaining ownership of mission-critical initiatives.

• 8+ years of Data Science, Quantitative Analytics, Risk Analytics, or Modeling experience.
• Advanced Python and SQL skills.
• Strong foundation in statistics, mathematics, econometrics, or quantitative modeling.
• Experience building machine learning models, including gradient boosting techniques.
• Proven experience owning projects independently and delivering business results.
• Strong communication skills with the ability to present technical concepts to non-technical executives.
• Experience operating within regulated environments and supporting model audits.

Required Domain Experience

Candidates must have experience in financial or risk modeling environments, including areas such as:

• Credit Risk Modeling
• Probability of Default (PD) Modeling
• Loss Forecasting or Credit Loss Assessment
• Financial Risk Analytics
• Scorecard Development
• Payment Behavior Modeling
• Credit Attribute Modeling
• Banking, Lending, Credit Bureau, Mortgage, or Consumer Finance Analytics
• Quantitative Risk Management

Preferred Education

Bachelor’s degree in a quantitative discipline such as:

Mathematics

Statistics

Economics

Computer Science

Engineering

Related quantitative field

Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative field is highly preferred., This role is perfect for a senior individual contributor or lead-level data scientist who enjoys solving complex financial problems, building production-ready models, proving business value through analytics, and operating as a trusted strategic partner to leadership.