Position Overview
We are seeking a Quantitative Developer to design and build highโperformance analytics, trading, and optimization platforms used directly by frontโoffice stakeholders. This role sits at the intersection of quantitative problemโsolving and production engineering.
Key Responsibilities
- Design and implement frontโoffice quantitative applications and analytics engines across the full stack.
- Develop highโperformance backend services in C# with modern .NET (preferably .NET8).
- Build and optimize data pipelines and database interactions for largeโscale datasets.
- Apply efficient memory management, performance optimization, and parallel computing techniques.
- Develop and maintain Pythonโbased analytics and research workflows integrated with production systems.
- Collaborate with Sales, Trading, Risk, Technology, Finance, and Treasury teams.
- Own solutions endโtoโend: requirements, design, implementation, testing, deployment, and optimization.
- Execute detailed data analysis, valuation, and market reporting; provide inโdepth market reports and expert recommendations.
- Identify issues affecting clients and provide actionable recommendations, including executing trades and securing new client deals.
- Confirm trades, verify transactions, and coordinate trade reconciliation with backโoffice to resolve discrepancies.
Qualifications
- 2โ4 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 .NET8) with production system experience.
- Fullโstack 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 problemโsolving skills and strong analytical thinking.
- Experience with Azure, Snowflake, Docker, or Kubernetes.
- Exposure to highโthroughput or lowโlatency systems.
- Knowledge of Prime Brokerage, Securities Lending, Equity Swaps, or trading platforms.
- Experience with timeโseries analysis, optimization, or quantitative modeling.
- Strong ownership mindset and ability to operate in a frontโoffice environment.
- Comfortable bridging quantitative analysis and software engineering.
- Clear communicator with both technical and nonโtechnical stakeholders.
Education & Experience
- Bachelorโs degree or equivalent specialized training/experience.
- 3+ years of related experience.
- Ability to work independently with minimal supervision and possess strong communication, analytical, and problemโsolving skills.
- Management experience and solid computer skills are a must.
Physical Requirements
Standard office environment: mostly sedentary work, occasional tasks requiring standard office equipment, and modest physical movement expected.
Equal Opportunity Employment
TD Bank is an equalโopportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran, or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please contact TD Bank US Workplace Accommodations Program.
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