TL;DR
Trading technology recruitment covers the engineers who build and run electronic trading systems: low-latency C++ developers, FPGA engineers, market data and exchange connectivity engineers, network and infrastructure specialists, and trading technology leaders.
These roles are hard to fill because the skills are rare outside trading, and CVs rarely show the difference between general performance work and deterministic, low-latency production systems.
Key points
- Latency sensitivity varies by firm. Define whether the role needs microseconds, nanoseconds or simply reliability at scale.
- Adjacent industries such as networking, embedded systems, gaming engines and databases can supply strong candidates.
- Assessment should test measured performance work, not recall of language trivia.
Trading technology roles we search
| Role | Core problem it solves | Signals of real experience |
|---|---|---|
| Low-latency C++ engineer | Fast, predictable order and strategy paths | Tail latency measurement, cache-aware design, lock-free structures |
| FPGA engineer | Moving parsing, risk checks or logic into hardware | Verilog or VHDL in production, timing closure, network IP cores |
| Market data engineer | Ingesting and normalising exchange feeds with minimal delay | Feed handlers, gap recovery, binary protocols |
| Exchange connectivity engineer | Order entry and exchange protocol integration | FIX and native binary protocols, certification with venues |
| Network engineer | Deterministic, low-latency networks between venues | Switch configuration, time synchronisation, packet capture analysis |
| Trading infrastructure or SRE | Keeping systems up during market hours | Linux tuning, monitoring, incident response under time pressure |
| Head of trading technology or CTO | Architecture, build versus buy, team building | Delivered trading platforms, credibility with quants and traders |
Where strong candidates come from
Trading technology talent is not only found at other trading firms. Useful feeder backgrounds include:
- Operating systems, networking and database engineering teams.
- Embedded systems, telecom and semiconductor companies, especially for FPGA roles.
- Game engine and real-time systems developers who already think about frame budgets and memory layout.
- Exchanges, brokers and bank electronic trading desks.
- Competitive programmers and systems-focused graduates from strong engineering programmes.
How we assess engineers
We look for evidence of measured work: what was the latency budget, how was it measured, what changed, and what trade-offs were made. We distinguish between engineers who have optimised code and those who have designed systems where predictability matters more than average speed.
The HFT skills matrix sets out the skills we assess by role.
Markets
India has a large pool of systems and C++ engineers, and trading firms have built significant engineering teams there. We run trading technology searches in India, Singapore and the UAE.
Latency tiers: define what the role really needs
Not every trading technology role needs nanosecond performance. Naming the tier prevents over-specifying the brief and shrinking the pool unnecessarily.
| Tier | Typical systems | Engineering priorities |
|---|---|---|
| Research and data platforms | Backtesting, data pipelines, research tooling | Scale, correctness, developer productivity |
| Medium-frequency trading | Execution algorithms, portfolio trading, risk systems | Reliability, throughput, sensible latency |
| High-frequency trading | Market data handlers, order gateways, strategy engines | Low and predictable tail latency, careful memory and CPU use |
| Ultra-low latency | FPGA feed parsing, hardware risk checks, specialised networks | Hardware design, timing closure, network determinism |
How to design the interview loop
A strong loop tests the core skills for the tier and skips the rest.
- Technical screen focused on fundamentals relevant to the tier, such as C++, networking or hardware design.
- Measured-work discussion on a real performance or reliability problem the candidate solved, with numbers.
- System design of a trading component: market data handler, order gateway, risk check or backtesting platform.
- Practical exercise reviewed for correctness first and predictability second.
- Team conversation with the quants or traders the engineer will support.
Structuring a trading technology team
Most trading firms organise technology around a few groups: core trading systems (market data, order entry, strategy runtime), infrastructure (servers, networks, time synchronisation, monitoring), research platforms (data, backtesting, compute) and risk and post-trade systems. Early-stage firms often combine these, so the first hires need range. Larger firms specialise, so hires need depth.
Leadership hires: CTO and head of trading technology
Senior technology leaders in trading firms make build-versus-buy decisions, set architecture and keep quants, traders and engineers working as one system. We assess delivered platforms, incident history, the engineers they have hired and retained, and credibility with researchers who depend on their systems.
Common mistakes
- Over-specifying latency. Asking for ultra-low latency experience when the strategy is medium frequency.
- Puzzle-only interviews. Algorithm puzzles miss systems depth and production judgement.
- Ignoring operations. Reliability during market hours matters as much as speed.
- Sourcing only from trading firms. Networking, databases, embedded and games engineering can supply strong hires.
Frequently asked questions
Is C++ mandatory for HFT engineering?
For latency-critical paths, modern C++ remains the dominant language in high-frequency trading, alongside FPGA work for the most time-sensitive parts of the stack. It is not mandatory across the whole organisation: Python dominates research tooling and analysis, Java and Go appear in risk, reporting and infrastructure, and Rust is used at a handful of firms. The rule of thumb is that anything on the critical path to the exchange is C++ or hardware.
Can a general software engineer become a low-latency engineer?
Yes, especially engineers with strong systems fundamentals. The shift involves learning to measure and control tail latency, memory behaviour and the network path, which takes deliberate practice.
What is the difference between an FPGA engineer and a low-latency C++ engineer?
A C++ engineer optimises software running on CPUs. An FPGA engineer implements logic directly in programmable hardware, which can reduce latency further for specific tasks such as feed parsing or pre-trade risk checks.
What is kernel bypass networking?
Kernel bypass lets an application send and receive network packets without passing through the operating system's normal network stack, reducing latency and jitter. It is common in latency-sensitive trading systems.
Why are FPGA engineers so hard to hire for trading?
The pool of engineers with production FPGA experience is small, and fewer still have worked on network or trading workloads. Firms often hire from semiconductor, telecom and embedded companies and teach the trading context.
Can trading technology roles be remote?
Research platform and some infrastructure roles can be flexible. Engineers working on live trading systems often need close collaboration with traders and quick incident response, so many firms prefer on-site or hybrid arrangements.