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Dexian DISYS

Quantitative Analyst / Specialist

Dexian DISYS, Jersey City, New Jersey, United States, 07390

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Hybrid

Quantitative Analyst / Specialist

Job details

Posted 30 October 2025

Location Jersey City, NJ

Job type Permanent

Reference 923004

Job description

Job Title: Quantitative Analyst / Specialist Location: Jersey City, NJ (Hybrid: 3 days Onsite / 2 days REMOTE) Duration: 6+ Months (Extension Possible) Skills & Experience Needed: 5 years of experience in financial market risk management and quantitative modeling Master's degree in quantitative disciplines preferred. Proficient in SQL, any other high level programming languages, such as R, Python, Matlab, is a plus Hands on experience on developing complex financial models. Solid equity production knowledge, especially ETFs

Primary Responsibilities: Research and prototype risk model for equities and crypto-related ETFs. Extend the scope for the Hybrid VaR as a benchmark for existing VaR methodology. Assist the Stress Testing model performance reporting and monitoring. Maintain and update model documentation Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.