Quantitative Developer / Financial Engineering Analyst

JOB DESCRIPTION

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.

Key Skills
Python | NumPy | Pandas | SciPy | SQL | SQLAlchemy | pyodbc | Snowpark | Snowflake | Linux | Git | Bitbucket | Quantitative Development | Financial Modeling | Quantitative Models | NSCC Margin | Stress Testing | Market Risk | Financial Engineering | Database Development | Stored Procedures | Query Optimization | Performance Tuning