Senior Quantitative Risk Associate — AI-Driven Analytics

TIAA; Dallas (TX); On-site; USD 86,000 - 129,000; Full time

Job summary

TIAA is seeking a Quantitative Risk Management Senior Associate in Dallas, TX to deliver end-to-end risk solutions, from data analysis and model development to reporting. You will design dashboards for risk visibility and engage with the Investment Risk team as a trusted SME, leveraging AI/Gen AI to automate workflows.

Ideal candidates have a University degree and 3+ years of risk experience (5+ preferred), with strong SQL and Python skills and experience building/ validating models for risk

Qualifications

• University degree preferred.
• 3+ years of risk/quant experience required.
• 5+ years of experience 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.
• Applies strong technical proficiency, including experience with AI and Generative AI technologies, to help modernize and automate analytical workflows.

Skills

SQL

Python

AI/Gen AI

Dashboards

Model validation

Education

University degree

Tools

pandas

NumPy

scikit-learn

Job description

TIAA is seeking a Quantitative Risk Management Senior Associate in Dallas, TX to deliver end-to-end risk solutions, from data analysis and model development to reporting. You will design dashboards for risk visibility and engage with the Investment Risk team as a trusted SME, leveraging AI/Gen AI to automate workflows.

Ideal candidates have a University degree and 3+ years of risk experience (5+ preferred), with strong SQL and Python skills and experience building/ validating models for risk