Quantitative Developer

MDA Edge; Jersey City (NJ); On-site; USD 110,208 - 123,984; Full time

Job summary

An established industry player is seeking a skilled professional in financial market risk management and quantitative modeling. This role involves researching and prototyping risk models for newly issued ETFs, extending benchmark methodologies, and collaborating with various stakeholders. If you have a strong foundation in SQL, Python, and MATLAB, along with a Master's degree in a quantitative field, this opportunity could be the perfect fit for you. Join a dynamic team and contribute to innovative financial solutions in a fast-paced environment.

Qualifications

• 5+ years of experience in financial market risk management and quantitative modeling.
• Master's degree in quantitative disciplines required.

Responsibilities

• Research and prototype risk models for newly issued ETFs.
• Facilitate model specification and communication with stakeholders.

Skills

Financial Market Risk Management

Quantitative Modeling

SQL

Python

MATLAB

Complex Financial Models

VaR methodology

Education

Master's degree in quantitative disciplines

Tools

R

Job description

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This range is provided by MDA Edge. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $90.00/hr

Skills: Financial Market Risk Management and Quantitative Modeling, SQL, Python, MATLAB, Complex Financial Models, VaR methodology.

Your Primary Responsibilities:

• Research and prototype risk models 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 the Risk Technology team.

Basic Qualifications:

• 5 years of experience in financial market risk management and quantitative modeling.
• Master's degree in quantitative disciplines.
• Proficient in SQL; experience with other high-level programming languages such as R, Python, MATLAB is a plus.
• Hands-on experience developing complex financial models.
• Solid equity production knowledge, especially related to ETFs.
• Detail-oriented and a team player.

Must have:

• 5 years of experience in financial market risk management and quantitative modeling.
• Master's degree in quantitative disciplines.
• Proficient in SQL; experience with other high-level programming languages such as R, Python, MATLAB is a plus.
• Hands-on experience developing complex financial models.
• Solid equity production knowledge, especially related to ETFs.
• Detail-oriented and a team player.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting