C++ Developer - Trading Application

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca.

Our client is seeking a strong C++ low latency developer to expand their highly successful, fully automated computerized trading franchise across asset classes.

This is a hands-on position for the full development cycle, from requirements collection to final deployment and includes ongoing support for internal users. The successful candidate will work with an existing team of highly technical engineers to extend the functionality and performance of company’s sophisticated trading system that manages significant amounts of firms trading flow.

Key Responsibilities

Design, develop and implement cutting edge market connectivity system

Sitting alongside algo developers and traders to communicate varying needs

Ensure order management is consistent with best execution practices

Continuously work with colleagues and business leaders to advance each other’s skills

Required skills

Current experience with C/C++, including familiarity with C++17 and templates

Low latency coding, performance tuning, and debugging

FIX & Binary Connectivity Protocols

Proficiency in network protocols such as TCP & multicast

FPGA experience a plus in terms of low-level understanding of how sockets work.

Experience with Market Data feed handlers, Client and Market Connectivity products

Knowledge of investment management operations and trading execution solutions

Experience developing on Linux

Python scripting experience (or equivalent)

Strong communication skills a must

Preferred Qualifications and Education :

Advanced degree in Mathematics or Computer Science (MSc/Ph.D.)

Team Player capable of developing industrial-strength software components

Good experience analyzing and structuring large data sets.

Knowledge of trading and market microstructure