What are the responsibilities and job description for the Quantitative Developer position at Strivector?
Title: Quantitative Developer
Location: New York, NY
Position Type: 6 months Contract to hire
Job Description:
Job Description:
Our client is seeking a Quantitative Developer with strong full-stack engineering capabilities to design and build high-performance analytics, trading, and optimization platforms used directly by front-office stakeholders. This role sits at the intersection of quantitative problem-solving and production engineering. The ideal candidate can translate complex trading, inventory, and client problems into efficient, scalable systems, with a strong focus on code quality, memory efficiency, and parallel execution.
Key Responsibilities
- Design and implement front-office quantitative applications and analytics engines across the full stack
- Develop high-performance backend services using C# with modern .NET (preferably .NET 8)
- Build and optimize data pipelines and database interactions for large-scale datasets
- Apply efficient memory management, performance optimization, and parallel computing techniques
- Develop and maintain Python-based analytics and research workflows integrated with production systems
- Collaborate with Sales, Trading, Risk, Technology, Finance, and Treasury teams
- Own solutions end-to-end: requirements, design, implementation, testing, deployment, and optimization
Depth & Scope:
- Gathers, researches information and analyzes the market
- Executes detailed data analysis and valuation
- Provides in-depth market reports and expert recommendations
- Identifies issues affecting clients and provides recommendations to remedy
- Develops deep client relationships and presents new ideas to clients
- Executes trades and secures deals with new clients
- Keeps market-making traders informed of relevant issues with their customers and products
- Obtains market prices from market-making traders and executes the trade
- Ensures all trades are confirmed with the broker/dealer
- Inputs trades (post execution), and Verifies transactions meet company policies and followed approved guidelines
- Researches and resolves trade discrepancies
- Confirms trade blotters against trades booked in systems
- Coordinates with back office on all failed trade status and communicates to front office
- Coordinates with back office on position breaks and reports to the front office
- Assists traders in mark-to-market process
- Coordinates trade reconciliation discrepancy resolution with back office
- Looks for ways to improve work flow efficiencies
- Reads and understands the Trading Supervision Standard
- Demonstrates governance, control and risk management behaviors in alignment with TD policies and practices
Education & Experience:
- Bachelor''s degree, or specialized training / equivalent work experience
- 3 Years of related experience
- Ability to work independently with minimal supervision, establishes priorities, and possesses strong communication, analytical and problem solving skills
- Management experience and solid computer skills a must
Preferred Qualifications:
- 2–4 years of experience as a Quant Developer, Quant Strats or Software Engineer in a trading or analytics environment
- Strong proficiency in C# and modern .NET (ideally .NET 8) with production system experience
- Full-stack engineering experience, including backend services and data access layers
- Strong experience with databases, data modeling, and query optimization
- Solid understanding of memory efficiency, performance tuning, and parallel or concurrent computing
- Proficiency in Python and SQL for analytics and prototyping
- Excellent problem-solving skills and strong analytical thinking
- Experience with Azure, Snowflake, Docker, or Kubernetes
- Exposure to high-throughput or low-latency systems
- Knowledge of Prime Brokerage, Securities Lending, Equity Swaps, or trading platforms
- Experience with time-series analysis, optimization, or quantitative modeling
- Strong ownership mindset and ability to operate in a front-office environment
- Comfortable bridging quantitative analysis and software engineering
- Clear communicator with both technical and non-technical stakeholders