Senior Quantitative Risk Management Associate

TIAA

. Build and maintain end-to-end quantitative risk solutions for Financial Risk Managers .

Posted 9/23/2026full-timeUnited StatesSenior💰 $86,100 - $129,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative risk solutions, data analysis, and model development, with proficiency in SQL and Python. Capable of applying AI technologies to enhance analytical workflows and deliver actionable insights through dashboards and reporting.

Highest-signal resume keywords

SQL ProficiencyPython FluencyExperience With AI TechnologiesQuantitative ModelingData Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Quantitative AnalysisModel ValidationFinancial ModelingStatisticsData ExtractionData ManipulationDashboard DevelopmentRisk MetricsPandasNumPy

Tools & Technologies

Scikit-LearnGenerative AI

Industry Keywords

Financial Risk ManagementRisk IdentificationRisk ManagementAnalytical Workflows

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Build and maintain end-to-end quantitative risk solutions for Financial Risk Managers
Source and analyze data
Review and develop models
Design and deliver dashboards and reporting for risk metrics and exposures
Engage independently with the Investment Risk team as a trusted subject matter expert
Apply AI and Generative AI technologies to modernize and automate analytical workflows
Operationalize solutions supporting identification and management of risk

Requirements

What you’ll need

3+ years of work experience required; 5+ years preferred
University degree preferred
Proficiency in SQL for data extraction and manipulation
Fluency in Python for quantitative modeling, data analysis, and automation
Experience with pandas, NumPy, and scikit-learn
Experience with AI and Generative AI technologies
Ability to build and validate internal and vendor models
Ability to analyze large data sets
Ability to develop dashboards and reporting for risk stakeholders
Knowledge of advanced mathematics, financial modeling, model validation, statistics, quantitative analysis, programming, and data analysis

Benefits

Comp & perks

Superior retirement program
Highly competitive health, wellness, and work life offerings
Financial, emotional, and physical well-being support
Meaningful learning experiences and development pathways
AI tools and future-focused skills development