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

> StradIT · Jersey City, United States (Hybrid) · — · Posted 2026-09-11

**Workplace:** hybrid

## Description

**Role:** Quantitative Analyst/Developer

**Experience:** 5 to 8 years (not a VP role)

**Employment:** W2 (USC and GC only)

**Location:** Jersey City, NJ

**Work mode:** Hybrid

**Primary Requirement**

-   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.

**Qualification**

-   Master's degree in a quantitative discipline and 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; Snowflake experience strongly preferred.
-   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, with the ability to work independently, translate business needs into technical solutions, and effectively bridge communication between quantitative researchers and software developers.

## Apply

[Apply at StradIT](https://apply.workable.com/stradit/j/B78A3F363C/apply)

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