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Quantitative Analyst

2 months ago

Jersey City, United States Dexian Full time

Job Title: Quantitative Analyst

Location: Jersey City, NJ (Hybrid: 3 days Onsite / 2 days REMOTE)

Duration: 8+ Months (Extension Possible)

Skills & Experience Needed:

  • 5+ years of working experience and must have 3+ years of hands-on experience in quantitative models, research, with deep understanding in fixed income and/or market risk.
  • Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus.
  • Knowledge of treasury securities and/or mortgage-backed securities pricing and VaR modeling a big plus
  • Master's degree or above in a quantitative field of study preferred

Responsibilities:

  • Maintain and enhance in-house fixed income risk models
  • Design and produce model performance metrics and reports to support communications with both internal model users and external supervisors
  • Independently format and validate analysis results to ensure quality.


Desired Skills and Experience

Quantitative Analysis, Python, quantitative modeling, risk analysis, risk modeling, market risk analysis, financial systems, fixed income, Equity, Exchange-Traded Fund, ETF, Value at Risk, VaR, financial models, risk models

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 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.