Nexus · for a new trading team · companion to the case study
A quant with a model, or a team setting up a mid-frequency desk, needs far more than the model. It needs clean history and a live feed, research that cannot flatter itself, sizing, execution, risk controls, monitoring, and a safe way to change all of it. Building that means hiring a specialist team and spending well over a year before the first trade. Nexus already runs it every day on a production host, with execution on a broker demo account.
The build estimate was made on 28 October 2026 from London pay data; the method and its sources are below. Nexus figures are those published, with their dates, on the case study.
A mid-frequency platform is eight systems that have to agree with each other. Each row is a part Nexus runs today, with the page that shows it.
Market dataCapture · Reference data
Ten sources and nine asset classes, about 1.28 billion bars from daily history back to 1969 to live one-second capture. Futures contracts rolled and back-adjusted by a recorded rule, with exchange calendars, roll rules and instrument records kept as dated ranges.
Data qualityValidate and clean
Raw data kept as delivered, 37 check types, every fix a logged and reversible operation, and bad series quarantined until fixed.
Research under controlsResearch · Tester
Six simulation engines and a strategy tester, with trials counted before any data is read, sealed hold-outs, costs charged on every trade, and an authorisation no agent can write.
Model interface and sizingModels
One contract for every model, and one sizing library shared by the backtest and the live book, so the two cannot disagree about how a forecast becomes a position.
Execution and riskExecute
A per-market scheduler, staged pre-trade limits that never block a risk-reducing order (production runs them at the warn stage), a halt and a kill switch, reconciliation with the broker, cost analysis, and one interface to the broker.
OperationsProduction
43 checkers and seven fast checks, failure alerts wired on 321 of 355 services and timers, red checks that become work items, and backups that are restored on a schedule.
Tests chosen by what a change touches, self-hosted runners, merge lanes, independent review of the exact commit, and a deploy that refuses a dirty tree or a rollback and logs every release.
Consolefor the desk
A web console of about 80 pages over all of it: data, research, the book, orders, controls and health.
An estimate for a firm that hires its own team in London to build the same breadth. It is a scale, not a quote: your mix of roles, seniority and location will move it.
| Role | Owns | People | Total pay each, a year |
|---|---|---|---|
| Lead engineer | Architecture and controls; has built a trading platform before | 1 | £350k–£550k |
| Quant developers | Simulation engines, sizing, research controls | 2 | £200k–£400k |
| Market-data engineers | Vendor feeds, futures rolls, reference data, data quality | 1–2 | £180k–£300k |
| Execution developer | Broker connection, orders, limits, reconciliation | 0–1 | £200k–£400k |
| Platform engineer | CI and deploys, monitoring, backups, security | 1 | £150k–£300k |
| Front-end developer | The console | 0–1 | £120k–£200k |
| Team | Lean: five people, the lead covering execution and no front end. Full: eight. | 5–8 | £1.1m–£2.9m in pay |
a year to employ the team, adding about 30% to pay for employer National Insurance, pension and benefits.
to hire. Notice periods and gardening leave set the pace for people who have done this before.
to build to this breadth with these controls. Practitioners quote 9 to 18 months for a two-person team on a much narrower setup, and first estimates tend to slip.
to a first demo trade: 12 months of the lean team's employment cost at the low end, 18 months of the full team's at the high end, plus recruitment fees of 20–25% of first-year pay.
a year afterwards, for three to five people to run and extend it: a lead, a quant developer and a platform engineer, up to the lean team of five.
Not counted: data licences, servers, office space, the months spent hiring, and the founders' own time. Not counted either: the model earns nothing while the platform is built around it.
Why not estimate from the code? Nexus has about 510,000 lines of production code and 320,000 lines of tests in its core repositories, and code-size models would put the effort far higher than the team above. Most of that code was written by AI agents, which write more lines than people do for the same function, so a count of lines overstates the work. The estimate above starts from the team instead.
A platform's real cost is what it takes to support and change it after the first release. Nexus was designed and built from the ground up with the practices that keep that cost down. Each one below is evidenced on a page of its own.
Clear interfacesModels · Broker
Models come in through one contract and orders go out through one broker interface. Research and trading read prices through one data API and size positions with one library. Major decisions are written down as design records.
Tested by defaultCI
27,275 test functions. Every change runs the tests it affects, and anything the maps do not cover runs the full suite. Every deploy passes its service's test gate first. Mutation tests check that key safety tests can actually fail.
One way to shipAgents
Every change is a work item, made in its own worktree and approved by a different reviewer at the exact commit, then merged through a lane and deployed by a tool that refuses a dirty tree or a rollback. Fixes go forward.
Audit at every layerrecords you can query
A work board with 8,025 recorded leases and a deploy ledger with 1,705 releases (both to 15 October), an append-only register of research trials, 6,631 logged and reversible data fixes (to 1 October), a record of every order, and model versions identified by the hash of their declaration.
WatchedProduction
Checkers turn anything red into a work item, failure alerts are wired across the services and timers, and each production incident has left a rule or a tool behind.
Reviewed three times against prop-desk due-diligence standards, the platform's mean score rose from 2.2 to 3.4 out of 5, with 4 for code quality, testing and CI, and 4 for change management and rollback. The reviews are self-assessed and say so; the method and all 13 scores are published.
Nexus is a running platform, not a kit of parts. A new firm still has a short list of steps of its own, and the list is part of the offer.
A trading systems engineer with more than 20 years in financial services. I joined Marshall Wace in 2002 as the CTO's first hire, a founding member of the team that built its early systematic trading services, and have since worked on the desk across the whole life of a systematic strategy: onboarding models at Marshall Wace and Ashenden, building a portfolio management system from the ground up, and running trading operations for a high-frequency crypto market-making pod at Tower Research Capital. Nexus applies what those years taught about which systems stay supportable, and which become too expensive to change. More about me.
Run a pilot, run your strategy on Nexus, license it, own it outright, or hire me to set it up around your model.
Sources. Pay, read on 28 October 2026: advertised London trading-firm and hedge-fund roles in 2026, including a market-data engineer at a systematic hedge fund at £250,000 (March), a data engineer at a high-frequency fund at £200,000 plus bonus (April), quantitative developers up to £200,000 plus bonus and at £400,000 in total at a systematic fund, a buy-side React engineer up to £170,000 plus bonus, a senior full-stack React developer at a hedge fund to £150,000 plus a 20–25% bonus, a trading SRE lead at £130,000–£250,000 plus bonus, and graduate software engineers at £60,000–£120,000 base plus bonus. Market data: ITJobsWatch medians of £160,000 for quantitative developers in the City of London (six months to 14 January 2026), £125,000 for site reliability engineers in London (to 18 January) and £130,000 for market-data engineers (UK, to July 2026). Quantt's UK quant finance salary guide puts lead and principal quant developers at £250,000 to £550,000 and more in total. Build times: practitioner reports of 9 to 18 months for a two-person systematic setup, and vendor guides on build-versus-buy. Employment costs: employer National Insurance at 15% from April 2025, with pension and benefits, rounded to 30%. All read on 28 October 2026. Nexus figures: the case study, with its own dates; line counts from git on 28 October 2026, counting non-blank lines of first-party code.