Senior Credit Data Scientist — Remote, Equity, Flexible PTO

Splash Financial, Inc.; Oregon; Híbrido; USD 143.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote work freedom

Competitive salary packages

Flexible PTO + 9 company holidays

Equity: Share in our start-up success

Descripción de la vacante

Splash Financial, Inc. is seeking a Senior/Staff Credit Data Scientist with deep expertise in consumer lending and credit risk analytics.

You will leverage credit bureau and alternative data to build predictive models and optimize pricing strategies for responsible, scalable lending growth. The role demands proactive problem-solving, rigorous statistics, and the ability to translate analytical findings into actionable business recommendations while collaborating with cross-functional teams.

Formación

• 8+ years in credit risk analytics or pricing analytics.
• Strong Python proficiency for statistical analysis and modeling.
• Experience with consumer lending and fintech environments.
• Translate analytics into business recommendations.

Responsabilidades

• Develop and deploy models to predict credit risk and losses.
• Analyze bureau and alternative data to improve underwriting.
• Build pricing models for risk-adjusted returns.
• Collaborate with Engineering to deploy pipelines.
• Monitor model performance and governance.

Conocimientos

Python proficiency

Statistical modeling

Credit risk analytics

Pricing analytics

Communication & collaboration

Educación

Bachelor's degree in Statistics/Math/CS/Data Science/Engineering

Master's degree or PhD preferred

Herramientas

Python (production-ready)

Python ecosystem (pandas, scikit-learn)

Descripción del empleo

Splash Financial, Inc. is seeking a Senior/Staff Credit Data Scientist with deep expertise in consumer lending and credit risk analytics.

You will leverage credit bureau and alternative data to build predictive models and optimize pricing strategies for responsible, scalable lending growth. The role demands proactive problem-solving, rigorous statistics, and the ability to translate analytical findings into actionable business recommendations while collaborating with cross-functional teams.