Senior Quantitative Risk Analyst - AI-Driven Modeling

TIAA; Woodbridge Township (NJ); On-site; USD 86,000 - 129,000; Full time

Job summary

TIAA is seeking a Quantitative Risk Management Senior Associate to deliver end-to-end risk solutions, from data analysis to model review and reporting. You will build, validate, and operationalize models and dashboards for risk stakeholders in a collaborative, in-office setting in New Jersey.

You will work with the Investment Risk team, applying Python, SQL and AI tools to automate workflows and provide clear visibility into risk exposures. A university degree and 3+ years in risk is preferred.

Qualifications

• University degree preferred as educational background.
• 3+ years of experience in quantitative risk or related area.
• Strong communication and analytical skills are required.

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 risk teams clear visibility into risk metrics and exposures.
• Engage independently with the Investment Risk team as a trusted SME.
• Apply AI/Generative AI to modernize and automate analytical workflows.

Skills

SQL

Python

AI/Generative AI

Data Analysis

Dashboarding

Risk Modeling

Education

University degree preferred

Tools

Pandas

NumPy

scikit-learn

Job description

TIAA is seeking a Quantitative Risk Management Senior Associate to deliver end-to-end risk solutions, from data analysis to model review and reporting. You will build, validate, and operationalize models and dashboards for risk stakeholders in a collaborative, in-office setting in New Jersey.

You will work with the Investment Risk team, applying Python, SQL and AI tools to automate workflows and provide clear visibility into risk exposures. A university degree and 3+ years in risk is preferred.