Associate, Quantitative Developer – Prime Services

Quantitative Developer

The TD Prime Services Strategy and Analytics team 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.

The Associate Sales & Trading is responsible for serving as support for the US Prime Services of TD Securities (USA) LLC.

• Design and implement front-office quantitative applications and analytics engines across the full stack
• Develop high-performance backend services using C# with  (
  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

• 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

• 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

• 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  (
  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

Never: 0%;
Occasional: 1-33%;
Frequent: 34-66%;
Continuous: 67-100%

• Domestic Travel – Occasional
• International Travel – Never
• Performing…