Senior Associate, Quantitative Risk Management

TIAA

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

Posted 11/2/2026full-timeUnited StatesSenior💰 $86,100 - $129,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative risk solutions, leveraging proficiency in SQL and Python for data analysis and modeling. Capable of designing dashboards and reporting tools while applying AI technologies to enhance analytical workflows.

Highest-signal resume keywords

SQL ProficiencyPython FluencyExperience With AI TechnologiesQuantitative ModelingDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisQuantitative Risk SolutionsModel ValidationFinancial ModelingStatistical AnalysisAdvanced MathematicsData ExtractionAutomationRisk MetricsProgramming

Tools & Technologies

PandasNumPyScikit-Learn

Industry Keywords

Financial Risk ManagementRisk IdentificationRisk ManagementGenerative AIAnalytical 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 on 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 risk identification and management

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, programming, quantitative analysis, and statistics

Benefits

Comp & perks

Superior retirement program
Competitive health, wellness, and work life offerings
Financial, emotional, and physical well-being support
Meaningful learning experiences and development pathways
Incentive program linked to performance may be included, depending on the role
Collaborative in-office work environment