VS
Quantitative Developer / Financial Engineering Analyst
Veterans Sourcing Group
🇺🇸 United States
On-site
3 weeks ago
- Risk Management
- Python
- NumPy
- Pandas
- SciPy
- SQLAlchemy
- SQL
- Snowflake
- Linux
- Git
- Bitbucket
3 weeks ago
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
Quantitative Developer / Financial Engineering Analyst · Veterans Sourcing Group