RTX Trading Technologies builds the algos, market infrastructure and AI automation that demanding trading and wealth businesses run on. Hedge-fund-grade engineers, embedded in your floor. Not on the other end of a ticket queue.
Financial markets are the Formula 1 of software engineering. We build for that level.
Greenfield builds and brownfield refactors. The discipline is the same: understand the problem before writing the code.
Lean senior team. Faster than a generic consultancy. Sharper than a lone freelancer.
The engineers you meet are the engineers who do the work. Clear communication and instant feedback guarantee project success.
We are tech first. We do not sell shelf-ware. We sell experience, judgement, and the bespoke tooling we build along the way.
Smart order routers, matching engines, FIX connectivity, and the risk and PnL paths that wrap around them. We come into floors with working stacks and make them faster, cleaner, easier to live with. FPGA where microseconds genuinely matter. Plain CPU where they do not.
When a bank wants to internalize client orders efficiently, it needs a hub that talks to every internal system and behaves consistently under stress. We design and build that hub from the data model up. Systematic internalizers, internal crossing networks, multi-asset matching. Including the integration work most vendors quietly leave for someone else.
Most wealth and trading businesses already have the data. The problem is that it lives in fifteen places, in twelve formats, and no two systems agree on what a trade is. We stitch the plumbing together and put AI to work on the repeatable analytical and operational tasks that consume your senior people.
Teams that win in electronic markets are small, senior, and deeply embedded. The margin between a system that works and one that loses money is measured in microseconds and rounding errors. That has shaped how RTX is built.
We do not run an offshore body shop. We do not have a generic consultancy bench. We bring senior engineers who have built production systems for hedge funds, market makers, and tier-1 banks. They sit in the room with your team. Not on the other end of a Jira board.
Where AI tooling is appropriate, it is directed by senior engineers and discussed openly with clients. We do not lead with it as the value. The judgement around the work is what we bring.
Some engagements are clean greenfield builds: a new liquidity hub, a multi-asset matching engine, a trading platform from the data model up. Others are surgical improvements to systems that already run a desk. We are equally at home on either. What we love is solving real problems with technology that has been thought through.
Our clients are financial institutions. They expect discretion as standard. We do not name them, the desks involved, or project timing. What follows is the shape of work we take on.
Re-architecting electronic trading platforms that have grown organically across multiple strategies. Decoupling shared services. Modernising risk and PnL paths. Bringing deployment and observability into the current decade, without taking the desk offline. The kind of engagement that pays for itself in operational risk reduction alone.
Designing the internal infrastructure that lets an institution facilitate client flow against its own pricing across multiple asset classes. Routing, matching logic, integration to pricing, risk and trade capture. End-to-end builds. Modular by design. Built to scale as new asset classes and venues are added.
Stitching together fragmented data across portfolio, custodian, market and CRM systems. AI then takes over the repetitive analytical workflows that consume senior front-office time. The data was almost always there. The work is in the plumbing. And in the judgement about which workflows are safe to automate end-to-end, and which still need a human in the loop.
RTX is run by a small senior team. The principals have built production systems for tier-1 European market makers, global hedge funds, and large South African banks. We deliberately stay lean.
The engineers you meet are the engineers who do the work. We bring in specialists when a project needs them. We will not staff up to bill more hours. That is not how we make our money.
Capital markets infrastructure looks the same in its essentials wherever the desk sits. So does the engineering discipline required to build and run it. We work wherever the problem is.
European market-making Tier-1 prop firm experience. The world where microseconds, FPGAs and FIX engine optimisation are the day job, not a buzzword.
Global hedge funds Systematic trading infrastructure, risk and PnL pipelines, low-latency connectivity. Production grade, regulated environments.
South African capital markets Deep working knowledge of the JSE, SA bank trading floors, and the third-party trading platforms the local market depends on.
Wealth & asset management Portfolio rebalancing, TCA, family office operations. The operational layer where AI automation is most underused today.
We do not publish rates or service tiers. Every engagement starts with a conversation about what you actually need. If the fit is right, we move quickly. If not, we say so. And usually point you somewhere that is.