Quantitative Analyst - Jersey City, NJ (Not a VP role)

StradIT • Jersey City, NJ

11d • Hybrid

About The Position

We are seeking a Quantitative Analyst/Developer with 5 to 8 years of experience to join our team in Jersey City, NJ. This is a hybrid role for US Citizens and Green Card holders. The primary responsibilities include designing, developing, and maintaining research and prototype development platforms, including database architecture, stored procedures, query optimization, and performance tuning. You will also develop, test, deploy, and support quantitative model prototypes, analytical tools, and automated workflows, while monitoring daily scheduled jobs and production processes. A key part of the role involves performing NSCC margin and stress testing model monitoring, performance reporting, and analysis to support risk management activities. You will collaborate with quantitative researchers and risk teams to support model development, research initiatives, and data analysis needs. This position requires translating business requirements into technical specifications and independently managing small-to-medium-scale projects from design to documentation. You will also act as a liaison between Financial Engineering, Market Risk, Risk Technology, and application development teams, ensuring effective communication between business and technical stakeholders.

Requirements

• Master's degree in a quantitative discipline.
• At least 5 years of experience in quantitative development, database development, or financial model implementation.
• Strong programming skills in Python, including experience with libraries such as NumPy, Pandas, SciPy, SQLAlchemy, pyodbc, subprocess, logging, and Snowpark.
• Advanced knowledge of SQL and relational databases, with hands-on experience in database design, stored procedure development, query optimization, and performance tuning.
• Proficiency with Linux, Git, Bitbucket, and modern software development practices.
• Experience developing, implementing, or supporting financial and quantitative models, with familiarity with financial engineering concepts and terminology.
• Strong analytical, communication, and problem-solving skills.
• Ability to work independently, translate business needs into technical solutions, and effectively bridge communication between quantitative researchers and software developers.

Nice To Haves

• Snowflake experience strongly preferred.

Responsibilities

• Design, develop, and maintain research and prototype development platforms, including database architecture, stored procedures, query optimization, and performance tuning.
• Develop, test, deploy, and support quantitative model prototypes, analytical tools, and automated workflows; monitor daily scheduled jobs and production processes.
• Perform NSCC margin and stress testing model monitoring, performance reporting, and analysis to support risk management activities.
• Collaborate with quantitative researchers and risk teams to support model development, research initiatives, and data analysis needs.
• Translate business requirements into technical specifications and independently design, build, test, and document small-to-medium-scale projects.
• Serve as a liaison between Financial Engineering, Market Risk, Risk Technology, and application development teams, facilitating effective communication between business and technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level