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Entry Level Quantitative Risk Modeler Jobs in New York

Understanding of Market Risk Models * Ability to analyze and communicate quantitative risk ... implications * Preferred Requirements: * Advanced desktop technology skills such as Excel and ...

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

Quantitative Risk Analysis and Modeling * Support Quantitative Risk Assessments (QRA) for cost and schedule. * Assist with Monte Carlo risk modeling using Authority-approved tools, including:

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Entry Level Quantitative Risk Modeler information

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Infographic showing various Entry Level Quantitative Risk Modeler job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Quantitative Risk Analyst or Treasury Risk Modeling Analyst

RealTek Consulting

Manhattan, NY • On-site

Other

Posted 16 days ago


Job description

Quantitative Risk Analyst or Treasury Risk Modeling Analyst

Insights – Treasury modelling , Risk modelling , CCAR testing , UAT Test case and strong in python.

Skill Core Python, strong Algorithm and Analytical thinking, SQL, Experience in risk analytics is preferred. You will contribute to TCAP as a central aggregator and modelling engine across Treasury, Risk, and Finance. UI development (React/Angular)- Moderate knowledge

1.Collaborate with different line of businesses to convert Excel-based business logic and calculations to into python programs/tools to support Ul dashboard creation that presents scenario results and visualizations of metrics to senior management.

2.Strong working knowledge of CCAR stress testing or scenario-driven stress testing, balance sheet line-item modelling and projections, Liquidity stress testing and Interest Rate Risk (IRR) analytics, sensitivity analysis, curve construction and treasury analytics.

3.Collaborate on the development of REST APis that interface with scenario engines, model layers and user applications.