Quantitative Developer

Quantitative Developer 6 months to hire New York, NY- onsite Job Description: 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 #J-18808-Ljbffr