What are the responsibilities and job description for the Quantitative Developer, Jersey City NJ position at Personal Branding ™?
Position Summary
This role offers an opportunity to work in a dynamic financial environment, leveraging quantitative expertise to develop risk models and enhance financial analytics. As a Quantitative Developer, you will play a key role in researching and prototyping risk models for newly issued ETFs, refining Hybrid VaR models, and contributing to market risk initiatives.
The ideal candidate has strong financial modeling experience, expertise in risk management, and proficiency in SQL and other programming languages such as Python, R, or MATLAB. This position requires an individual who is detail-oriented, collaborative, and capable of translating complex financial concepts into actionable insights.
Primary Responsibilities
This role offers an opportunity to work in a dynamic financial environment, leveraging quantitative expertise to develop risk models and enhance financial analytics. As a Quantitative Developer, you will play a key role in researching and prototyping risk models for newly issued ETFs, refining Hybrid VaR models, and contributing to market risk initiatives.
The ideal candidate has strong financial modeling experience, expertise in risk management, and proficiency in SQL and other programming languages such as Python, R, or MATLAB. This position requires an individual who is detail-oriented, collaborative, and capable of translating complex financial concepts into actionable insights.
Primary Responsibilities
- Research and prototype risk models for newly issued ETFs.
- Extend the Hybrid VaR model as a benchmark for the existing VaR methodology.
- Assist in the NSCC MTM passthrough effort, ensuring accuracy and efficiency.
- Collaborate with Market Risk and Risk Technology teams to define and refine model specifications.
- Communicate quantitative risk methodologies to key stakeholders effectively.
- Develop and enhance complex financial models to support market risk analysis.
- 5 years of experience in financial market risk management and quantitative modeling.
- Master’s degree in a quantitative discipline (e.g., Financial Engineering, Mathematics, Statistics, or a related field).
- Proficiency in SQL with experience in database querying and manipulation.
- Experience in at least one high-level programming language such as Python, R, or MATLAB (preferred).
- Hands-on experience developing and implementing complex financial models.
- Solid knowledge of equity products, particularly ETFs and their risk characteristics.
- Detail-oriented and strong team player, capable of collaborating with cross-functional teams.
- Contract Position – Renewal Based on Performance
- Remote/Hybrid Work Flexibility (if applicable)
- Candidates must be able to work independently while collaborating with cross-functional teams.
