Senior Quantitative Risk & Analytics Lead

TIAA; Charlotte (NC); On-site; USD 86,000 - 129,000; Full time

Job summary

TIAA is seeking a Quantitative Risk Management Senior Associate in Charlotte to deliver end-to-end risk solutions from data analysis to reporting. You will build, validate, and operationalize models and dashboards for risk stakeholders while leveraging AI/Generative AI to automate analytics.

The role requires 3+ years of experience (5+ preferred) and a university degree. Strong SQL and Python skills with Pandas, NumPy, and scikit-learn are essential.

Qualifications

• 3+ years of experience required; 5+ years preferred.
• University degree preferred.

Responsibilities

• Build/Maintain end-to-end quantitative risk solutions for Financial Risk Managers, spanning data sourcing and analysis, model review/development, and reporting.
• Design and deliver dashboards and reporting to give Financial Risk Managers clear, actionable visibility into risk metrics and exposures.
• Engage independently with the Investment Risk team as a trusted SME.
• Apply strong technical proficiency, including AI and Generative AI, to modernize and automate analytical workflows.

Skills

SQL

Python

AI

Modeling

Education

University (Degree) Preferred

Tools

Pandas

NumPy

scikit-learn

Job description

TIAA is seeking a Quantitative Risk Management Senior Associate in Charlotte to deliver end-to-end risk solutions from data analysis to reporting. You will build, validate, and operationalize models and dashboards for risk stakeholders while leveraging AI/Generative AI to automate analytics.

The role requires 3+ years of experience (5+ preferred) and a university degree. Strong SQL and Python skills with Pandas, NumPy, and scikit-learn are essential.