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. Same discipline either way.
Faster than a generic consultancy. Sharper than a lone freelancer.
A direct line to the people building it. No account managers in between, so decisions land the same day.
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.
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.
Where AI tooling fits, 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.
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.
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 an electronic trading platform that has grown organically across many strategies, without ever taking the desk offline. The kind of engagement that pays for itself in operational risk reduction alone.
One team owning the whole build that lets an institution face client flow against its own pricing, from the data model out to the venue connections. Designed so new asset classes and venues are additions later, not rewrites.
The data is almost always already there. The engagement is in deciding which workflows are safe to automate end to end, which still need a human in the loop, and then building exactly that.
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.