remote
Lead Quantitative Analytics Specialist 001756 - Wells Fargo
Software Engineer
Lead Quantitative Analytics Specialist driving advanced statistical modeling and machine learning to deliver data‑driven insights for financial products, leveraging Python, R, SQL, and AWS for scalable analytics solutions.
About the role
Key Responsibilities
- Design, develop, and maintain predictive models and statistical analyses to support product pricing, risk assessment, and customer segmentation.
- Lead a cross‑functional team of data scientists and analysts, providing mentorship and technical guidance.
- Collaborate with engineering, product, and business stakeholders to translate analytical findings into actionable business strategies.
- Implement scalable data pipelines and model deployment workflows on AWS, ensuring performance, reliability, and compliance.
- Communicate complex analytical concepts to non‑technical audiences through clear visualizations and executive summaries.
Requirements
- 10+ years of experience in quantitative analytics, with a strong background in statistical modeling and machine learning.
- Proficiency in Python, R, and SQL; experience with AWS services (SageMaker, Redshift, EMR) preferred.
- Demonstrated ability to lead and grow high‑performing analytics teams.
- Excellent problem‑solving skills and a track record of delivering data‑driven solutions in a regulated financial environment.
- Strong communication skills and the ability to influence stakeholders at all levels.
Skills
pythonsqlmachine learningaws