C# Algorithmic Trading Developer – Front Office (New York based role)
18 hours ago
Paris
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