Quantitative Developer

Strivector; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Strivector is seeking a Quantitative Developer for a 6-month engagement in New York City. The role focuses on designing and building high-performance front-office quantitative applications and analytics engines across the full stack, with strong emphasis on C# and .NET 8, plus Python-based analytics workflows.

You will collaborate with Sales, Trading, Risk, Technology, Finance, and Treasury to deliver end-to-end solutions.

Qualifications

• 3+ years of related experience in quantitative development or software engineering.

Responsibilities

• Design and implement front-office quantitative applications and analytics engines across the full stack.

Skills

C#

NET

Python

SQL

Data pipelines

Trading domain

Education

Bachelor's degree

Tools

Azure

Snowflake

Docker

Kubernetes

Job description

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