Flow Traders is hiring a Senior Software Engineer, C++ (London).
Flow Traders is looking for a Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power our fully systematic trading. We don't treat market data as plumbing - for us it's a source of alpha, where feed handling, order book construction, and a deep understanding of exchange microstructure are themselves a competitive edge. We're looking for a senior individual contributor who has lived this philosophy in a proprietary or systematic trading environment and can squeeze every nanosecond out of the path from wire to strategy.
As a senior individual contributor, you'll help set the technical direction for the Core Platform that underpins quantitative research, pricing, strategy development, and execution across hundreds of venues - and drive its global rollout across our Market Data, Quant Research, Pricing, and Strategies groups. You'll work in a tight, iterative loop with quants and technical traders, applying deep expertise in modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking to push our systems toward performance, robustness, and observability.
Key Responsibilities
- Lead the development and global rollout of our Core market data platform used across multiple focus areas (Market data, Research engineering, Pricing, Strategies).
- Design and implement high‑performance components for market data ingestion, normalization, and distribution, as well as its usage for order execution and strategy infrastructure.
- Develop tools and frameworks that enable quants and technical traders to build, tune, and deploy data‑driven systematic pricing and trading strategies.
- Own the full lifecycle of your components in a fast‑paced, iterative environment: deploy, monitor, profile, and optimize your code in production.
- Work closely with focus group engineers, quants, and technical traders to refine requirements, collect feedback, and iterate on the platform's design and implementation.
What you need to succeed
- BSc, MSc, or PhD in Computer Science, Mathematics, or a related field.
- 7+ years of post‑graduation professional C++ software development experience.
- Experience building low‑latency market data ingestion, order execution, and algorithmic trading systems (proprietary trading industry preferred).
- Strong knowledge of algorithms and data structures.
- Experience in parallel, asynchronous, and multithreaded programming.
- Demonstrated ability to write clean, reliable, and highly scalable C++ code.
- Interest in extracting maximum performance from available hardware and software (CPU caches, memory layout, networking, etc.).
- Ability to communicate effectively with both technical and non‑technical colleagues.
Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders
About Flow Traders
Flow Traders, founded in 2004 in Amsterdam and listed on Euronext (FLOW), is a leading global ETP market maker and crypto liquidity provider, trading $100B+ quarterly across equities, fixed income and digital assets. With 600+ employees across Amsterdam, New York, Hong Kong and Singapore, it provides tight spreads for ETFs and crypto ETPs. In Web3, Flow Traders makes markets for spot, perpetuals and tokenized ETFs. The environment is quantitative, low-latency and risk-focused. Flow Traders is a leading global quantitative liquidity provider, using proprietary algorithmic trading strategies to quote continuous bid-ask spreads across digital asset spot and derivative products. Flow Traders delivers continuous electronic liquidity across global digital asset spot and derivative markets, relying on quantitative execution algorithms.
