Dexian
Quantitative Analyst / Specialist (Jersey City)
Dexian, Jersey City, New Jersey, United States, 07390
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.
Desired Skills and Experience
ETF, Equities, SQL, Python, VaR, Quantitative analysis, Quantitative development, risk modelling, fixed income, financial systems, financial models, financial modeling
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals.To learn more, please visit
https://dexian.com/ .
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.
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.
Desired Skills and Experience
ETF, Equities, SQL, Python, VaR, Quantitative analysis, Quantitative development, risk modelling, fixed income, financial systems, financial models, financial modeling
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals.To learn more, please visit
https://dexian.com/ .
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.