onsite
Lead Quantitative Analytics Specialist - Wells Fargo Bank
Software Engineer
Lead a team of quantitative analysts to develop advanced statistical models and machine learning solutions using Python, R, and SQL, leveraging AWS infrastructure to deliver data-driven insights that drive business strategy and customer outcomes.
About the role
Key Responsibilities
- Design, develop, and maintain scalable statistical models and machine learning pipelines in Python and R to solve complex business problems.
- Lead a cross‑functional team of data scientists and analysts, providing mentorship and technical guidance.
- Collaborate with data engineering and cloud operations to deploy models on AWS, ensuring performance, security, and compliance.
- Translate analytical findings into actionable insights and visualizations for senior stakeholders.
- Continuously evaluate and improve model accuracy, robustness, and production readiness.
Requirements
- 10+ years of experience in quantitative analytics, data science, or related fields.
- Expertise in Python, R, SQL, and statistical modeling techniques.
- Proven experience building and deploying machine learning models on AWS.
- Strong communication skills and ability to present complex concepts to non‑technical audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Skills
pythonsqlmachine learningaws