C# Algorithmic Trading Developer – Front Office (New York based role)

This position is based in New York , and relocation is mandatory . We are open to French nationals who are willing to relocate and for whom we can sponsor a work visa . Remote work from France is not possible for this role.

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specialized in Banking, Finance, and Financial Services. Through our core human values – proximity, teamwork, diversity, excellence – our 1000 expert consultants, hailing from 35 different nationalities, collaborate across 13 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Luxembourg, Geneva, Lisbon, Porto, Casablanca, Madrid and Singapore.

Context

We are looking for a C# Algo Developer to design and implement trading software solutions for the Direct Market Services & Solutions desk in the Americas, trading equities and futures through algorithmic strategies. The role focuses on building low-latency, real-time trading systems that operate efficiently in fast-moving markets. The environment is dynamic, requiring the ability to quickly translate ideas into robust, scalable solutions.

Responsibilities

• Develop, maintain, and support low-latency trading systems and related tools
• Take full ownership of algorithmic trading applications from design to production
• Work closely with traders to understand requirements and implement strategies
• Analyze and optimize end-to-end system performance
• Collaborate with support, infrastructure, and market access teams to improve platform stability
• Adapt and deploy existing global tools to the US electronic trading business
• Stay updated on industry trends in algorithmic trading
• Collaborate with global development teams

Profile

• Strong programming skills in C# (real-time, multithreading, high-performance code)
• Experience in front-office algo development (3+ years)
• Understanding of market data, execution, or systematic trading
• Ability to work in a fast-paced, high-pressure environment
• Bachelor’s degree in Computer Science, Engineering, Math, or related field