Remote Core Solutions
Senior Quantitative Developer
Remote Core Solutions, Jersey City, New Jersey, United States, 07390
About the job Senior Quantitative Developer
Remote Core Solution is working with a client in the Financial Services Industry. This is a Contract role in Jersey City, NJ. Hybrid role - 3 days a week onsite.
Remote Core Solutions provides outsourcing solutions. Our client companies range from small businesses to large corporations, and we pride ourselves on matching candidates with roles where they can thrive and make a significant impact.
Note:
Contract will be extended depending upon performance
Job Summary Research and prototype risk model for newly issued ETFs. Extend the scope for the Hybrid VaR as an benchmark for existing VaR methodology. Assist the NSCC MTM passthrough effort. Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team.
Qualifications : 5 years of experience in financial market risk management and quantitative modeling Masters degree in quantitative disciplines
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 Detail oriented and team player.
Remote Core Solution is working with a client in the Financial Services Industry. This is a Contract role in Jersey City, NJ. Hybrid role - 3 days a week onsite.
Remote Core Solutions provides outsourcing solutions. Our client companies range from small businesses to large corporations, and we pride ourselves on matching candidates with roles where they can thrive and make a significant impact.
Note:
Contract will be extended depending upon performance
Job Summary Research and prototype risk model for newly issued ETFs. Extend the scope for the Hybrid VaR as an benchmark for existing VaR methodology. Assist the NSCC MTM passthrough effort. Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team.
Qualifications : 5 years of experience in financial market risk management and quantitative modeling Masters degree in quantitative disciplines
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 Detail oriented and team player.