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Associate, Quantitative Developer – Prime Services

  • Source: Workday
  • Td
  • $150,000 to $200,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

Work Location:

New York, New York, United States of America

Hours:

40

Line of Business:

TD Securities

Pay Detail:

$150,000 - $200,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate’s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

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.

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 …

Skills

  • c-sharp
  • Python
  • microsoft-azure
  • Snowflake
  • Docker
  • Kubernetes
  • workday
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