Hybrid Quantitative Analyst/Developer

StradIT; Jersey City (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

StradIT in Jersey City, NJ seeks a seasoned Quantitative Analyst/Developer to design and maintain research platforms, build prototype models, and automate workflows in a hybrid setup. You will monitor production processes and collaborate with researchers to translate business needs into technical solutions.

The ideal candidate brings 5–8 years of quantitative development experience, a Master’s in a quantitative field, and strong Python and SQL skills, with Snowflake and Linux expertise to

Qualifications

• Master's degree in a quantitative discipline with 5+ years in quantitative development, database development, or financial model implementation.
• Strong programming skills in Python with libraries NumPy, Pandas, SciPy, SQLAlchemy, pyodbc, subprocess, logging, and Snowpark.
• Advanced SQL and relational databases with database design, stored procedures, 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 in financial engineering concepts.
• Strong analytical, communication, and problem-solving skills with ability to bridge between researchers and software developers.

Responsibilities

• Design, develop, and maintain research and prototype 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.

Skills

Python

SQL

Linux

Git

Snowpark

Education

Master's degree in quantitative discipline

Tools

NumPy

Pandas

SciPy

SQLAlchemy

pyodbc

Snowflake

Bitbucket

Job description

StradIT in Jersey City, NJ seeks a seasoned Quantitative Analyst/Developer to design and maintain research platforms, build prototype models, and automate workflows in a hybrid setup. You will monitor production processes and collaborate with researchers to translate business needs into technical solutions.

The ideal candidate brings 5–8 years of quantitative development experience, a Master’s in a quantitative field, and strong Python and SQL skills, with Snowflake and Linux expertise to