Trading Technology Careers at AlgoTM — Join the Team Building Trading Technology

Is this you?

• You are an engineer, quantitative researcher, product professional or commercial specialist who wants to build trading technology rather than just consume it.
• You value autonomy, remote work and solving hard problems in market microstructure, execution logic and data pipeline engineering.
• You want a career where your code ships to production, your research shapes product direction and your work directly affects how traders interact with markets.

Why AlgoTM for your trading technology careers

Build technology that powers real markets

Our platform routes orders, calculates pricing, verifies strategies and manages risk across equities, FX, commodities and cryptocurrency markets. Trading technology careers at AlgoTM mean working on systems where a rounding error in a pricing model or a race condition in an order pipeline has real consequences. The FCA algorithmic trading guidance sets the regulatory expectations our systems meet, and we take those standards seriously in every architectural decision.

Remote-first culture with global collaboration

We have been distributed since day one, spanning Europe, the Middle East and Asia. Collaboration runs on asynchronous workflows — written design documents, recorded demos and threaded code reviews. Trading technology careers here mean deep focus on hard problems without the distraction of open-plan offices or status meetings. Core coordination windows run on London and Dubai time, but engineering and research teams set their own schedules. Explore our technical standards at algotm.net/developers/.

Learn across the full trading technology stack

Our platform spans real-time market data, order routing, strategy backtesting, risk analytics and verification pipelines. Trading technology careers at AlgoTM expose you to every layer — from low-latency WebSocket streams through to React dashboards and Python SDKs. We document relentlessly at algotm.net/docs/ and share knowledge openly across teams, accelerating careers in trading technology faster than most single-product fintech shops.

Teams you can join in our trading technology careers

Engineering

Build the core platform — order management, real-time data pipelines, API services, front-end tooling and infrastructure. Roles span Python, Go, Node.js, TypeScript, React and DevOps. Every engineer ships code that affects traders directly. Browse openings at algotm.net/jobs/ or explore public API endpoints at algotm.net/api/.

Product

Work at the intersection of trading domain knowledge and technical delivery. Define feature requirements, prioritise the roadmap and validate that what we ship solves real problems for our user base. Candidates who have traded their own capital bring invaluable context. Start with algotm.net/start-here/ to understand the trader journey.

Quantitative research

Develop pricing models, strategy verification frameworks, risk metrics and market-structure analytics. Researchers work in Python and R, operate on internal historical data stores and publish methodology notes at algotm.net/research/. Trading technology careers in quantitative research combine rigorous statistical thinking with practical application. The BIS foreign exchange statistics provide useful reference for market scale and volatility.

Support

Client support is a product function, not a cost centre. Support engineers diagnose issues, explain platform behaviour and escalate bugs to engineering. Successful support team members often transition into product, engineering or research roles as they develop deep platform knowledge. See openings at algotm.net/jobs/.

Sales and partnerships

Drive direct sales to institutional clients, build partnerships with prop firms and brokers, and manage relationships with educational and affiliate partners. You represent AlgoTM credibly to trading professionals, with technical team backing on every engagement. Commercial roles are listed at algotm.net/jobs/.

How trading technology careers progress at AlgoTM

1. Browse openings (10-15 minutes). Visit algotm.net/jobs/ for current listings with full role descriptions, required skills and compensation bands. Bookmark the page if no suitable role appears today.
2. Submit your application (20-30 minutes). Include your CV, a brief cover note and links to relevant public work — GitHub repositories, research publications or portfolio projects.
3. Complete the assessment (1-3 hours). Short-listed candidates receive a role-specific exercise. Engineers complete a take-home coding task. Quant candidates analyse a sample dataset. Product candidates draft a feature proposal. Every assessment mirrors real work in the role.
4. Team interviews (2-3 sessions). Meet the hiring manager, team members and a cross-functional stakeholder. We discuss your assessment, experience and approach. No brain-teasers, no whiteboard hazing.
5. Decision and offer (under one week). We make an offer or provide specific, actionable feedback. Onboarding includes platform training and a dedicated mentor for the first month.

What we expect from everyone pursuing trading technology careers

• Ship working software. Your output should improve the platform in measurable ways, whether you write code, design features or sell the product. We do not reward politics or PPT-deck architecture.
• Write things down. Our remote, async culture depends on clear written communication — proposals, post-mortems and design documents are first-class artefacts.
• Respect the domain. Trading carries real financial risk for users. The technology decisions we make affect people’s capital. Review the trader resources at algotm.net/traders/ and the institutional pages at algotm.net/who-we-work-with/ for context on the markets we serve.

Commercials

Salaries are benchmarked against European and Middle Eastern fintech and software companies, published transparently on every job listing at algotm.net/jobs/. Benefits include flexible hours, a home-office equipment budget, annual learning allowance and equity participation for senior roles. We offer challenging, well-compensated work on technology that matters — no bean-bag culture charade.

Frequently asked questions

What teams are hiring at AlgoTM?

We recruit across six functions: engineering, product management, quantitative research, client support, sales and partnerships. Current trading technology careers openings are listed on the jobs page. Each function has its own hiring pipeline and team-specific interview stage. If no vacancy matches your profile today, check back periodically for new listings.

Is AlgoTM a remote-first company?

Yes, we have been remote-first since founding with team members across Europe, the Middle East and Asia. Collaboration runs on asynchronous communication rather than real-time meetings. London and Dubai time zones serve as primary coordination windows for synchronous sessions where needed, but core engineering and research work follows the schedule that suits each contributor. The FCA consumer guidance on CFDs provides regulatory context for the markets our platform serves.

Do I need a finance background for trading technology careers at AlgoTM?

Not for every role. Engineering and product positions prioritise software development, systems design and data engineering skills. Quantitative research roles expect domain knowledge in financial mathematics or market microstructure, but we have hired researchers from physics, computer science and statistics backgrounds. Sales and partnerships roles value relationship-building ability above specific credentials.

How do I apply for a trading technology career at AlgoTM?

Visit the jobs page to see current openings. Each listing includes role description, required skills, compensation band and application instructions. Short-listed candidates complete a technical or case-study assessment followed by two to three team interviews before a decision. We respond to every application, typically within two weeks.