Senior Quantitative Developer

Remote Core Solutions; Jersey City (NJ); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A financial services outsourcing company is seeking a Senior Quantitative Developer to work on risk models for ETFs and extend the VaR methodology. The ideal candidate has a Master's degree and at least 5 years of experience in financial market risk management. This hybrid role requires expertise in SQL and potentially R, Python, or Matlab. Competitive contract terms with performance-based extensions.

Qualifications

• 5+ years of experience in financial market risk management and quantitative modeling.
• Proficient in SQL and experienced with R, Python, or Matlab.
• Hands-on experience developing complex financial models.

Responsibilities

• Research and prototype risk models for newly issued ETFs.
• Extend Hybrid VaR scope as a benchmark for existing VaR methodology.
• Assist the NSCC MTM passthrough effort.
• Facilitate model specification and communication with stakeholders.

Skills

Financial market risk management

Quantitative modeling

SQL

R

Python

Matlab

Detail oriented

Team player

Education

Masters degree in quantitative disciplines

Job description

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 on performance.

Job Summary

• Research and prototype risk model for newly issued ETFs.
• Extend the scope for the Hybrid VaR as a 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