Quantitative Developer / Financial Engineering Analyst Location: Jersey City, NJ Hybrid Duration: 6 Months Contract Type: Contract Only Potential extension based on performance evaluation Pay Rate: $92 $100/hr W2 Interview Process: 2 Rounds 2nd Round In Person
Primary 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 to ensure reliable operation.
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 requirements.
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.
Facilitate effective communication between business and technical stakeholders.
Required Qualifications
Master's degree in a quantitative discipline.
5+ years of experience in quantitative development, database development, financial model implementation, or a related field.
Strong Python programming skills, including experience with libraries/tools such as:
NumPy
Pandas
SciPy
SQLAlchemy
pyodbc
subprocess
logging
Snowpark
Advanced SQL and relational database knowledge.
Hands-on experience with:
Database design
Stored procedure development
Query optimization
Performance tuning
Snowflake experience strongly preferred.
Proficiency with Linux, Git, and Bitbucket.
Familiarity with modern software development practices.
Experience developing, implementing, or supporting financial and quantitative models.
Familiarity with financial engineering concepts and terminology.
Strong analytical, communication, and problem-solving skills.
Ability to work independently and translate business requirements into effective technical solutions.
Ability to bridge communication between quantitative researchers and software developers.