Stabile Search

About the Company

Stabile Search is New York City's top Quantitative Finance, AI and Data Science Recruitment firm. Founder and President of Stabile Search, Matt Stabile, brings over a decade of experience finding the right talent and working with the most exciting and prestigious companies in the world in the areas of Quantitative Finance, AI and Data Science.

Listed Jobs

Company Name

Stabile Search

Job Title

Principal Data Scientist (Fintech)

Job Description

**Job title:** Principal Data Scientist (Fintech) **Role Summary:** Lead advanced model development for private market valuation, driving product innovation and business decisions. Work with a small data science team to refine existing predictive models and design new analytical solutions. **Expectations:** Deliver high‑impact data products, influence strategy at the executive level, and collaborate closely with senior leadership. Maintain excellence in research and production‑ready modeling workflows. **Key Responsibilities:** - Design, implement, and refactor machine‑learning models (time‑series forecasting, causal inference, econometrics, NLP) for private equity, corporate credit, infrastructure, and real estate valuations. - Expand product features, ensuring robustness, scalability, and interpretability of models. - Mentor and coordinate a 3‑member data science team; oversee code review, documentation, and deployment pipelines. - Translate complex analytics into clear insights for non‑technical stakeholders and clients. - Evaluate new data sources, feature engineering, and model validation techniques to improve accuracy. - Stay current with state‑of‑the‑art research and industry trends in fintech and private markets. **Required Skills:** - 5+ years of applied data science or machine‑learning experience in finance or related domain. - Deep expertise in advanced modeling: time‑series, causal inference, econometrics, NLP. - Proficiency in Python/R, SQL, and ML libraries (scikit‑learn, TensorFlow/PyTorch, statsmodels). - Strong statistical reasoning and experimental design (A/B testing, causal analysis). - Ability to build production‑ready pipelines (CI/CD, unit testing, monitoring). - Experience with large, structured datasets and data‑engineering fundamentals. - Excellent communication and stakeholder‑management skills. **Required Education & Certifications:** - PhD or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a closely related quantitative field. - Certifications such as Certified Analytics Professional (CAP) or related credentials are a plus.

Seattle, United states

On site

Senior

10-12-2025