onsite
Lead Quantitative Analytics Specialist - Wells Fargo
Software Engineer
Lead a team of quantitative analysts to develop advanced statistical models and machine‑learning solutions that drive data‑driven decision making across financial products, leveraging Python, R, SQL, and AWS cloud services.
About the role
Key Responsibilities
- Design, develop, and deploy scalable statistical and machine‑learning models to support risk, pricing, and customer‑experience initiatives.
- Lead a cross‑functional team of data scientists and analysts, providing mentorship and technical guidance.
- Collaborate with product, engineering, and business stakeholders to translate complex business problems into analytical solutions.
- Ensure model governance, documentation, and compliance with regulatory standards.
- Optimize model performance and operational efficiency using cloud (AWS) and big‑data technologies.
Requirements
- 10+ years of experience in quantitative analytics, with at least 5 years in a leadership role.
- Proficiency in Python, R, SQL, and experience building production‑grade ML pipelines.
- Deep knowledge of statistical modeling, time‑series analysis, and predictive analytics.
- Strong understanding of cloud platforms (AWS) and data‑engineering best practices.
- Excellent communication skills and ability to influence stakeholders at all levels.
Skills
pythonsqlmachine learningaws