Let’s Talk
Talent.

Job Description: Finance Assistant - 3 Month Contract Location: Richmond, UK  Working Model: Hybrid My Client a well-established iGaming business is on the lookout for a Finance Assistant to support the Finance Manager and team in handling key financial tasks. This role will involve account reconciliation, data management, and ensuring financial accuracy. Ideally looking for an immediately available Finance professional. Key Responsibilities: Capture and maintain financial data with a focus on integrity. Assist with internal and external audits  Support the design, testing, and implementation of new internal controls and processes. Manage supplier master data, accounting, and banking applications. Maintain financial records, including accounts payable and receivable. Reconcile bank statements and identify discrepancies. Prepare weekly cash flow forecasts  Organize and maintain efficient electronic filing systems Collaborate with internal teams and external stakeholders to resolve payment/invoicing issues. Maintain accuracy in posting transactions and processing expenses. Qualifications: 1-2 years of relevant experience in Finance or related field AAT or Part ACCA/ACA Qualified  + There is a competitive salary available.  

Company Overview Our client is a new, fully remote market maker on prediction markets, funded by a tier 1 operator to build next-generation trading systems, leveraging huge industry IP & resources from the tier 1 operator. The founding team includes true industry veterans with a vision for the future. They are building a lean, fully remote, senior team focused on high-performance systems, pragmatic engineering, and rapid iteration. Mission Build fast, ergonomic internal trading tools that give engineers and traders real-time visibility into exchange activity and the ability to interact directly with our systems — from monitoring live order flow to operational controls and order book interaction. What You Will Do •    Lead the development of performant, real-time trader-facing UIs: blotters, order tickets, risk views, dashboards, and order book displays. •    Build interactive operational tooling that allows engineers and traders to act on what they see — suspending or enabling trading activity, sending commands to the system, managing positions, and interacting with live order books. •    Design and implement lightweight backend services (e.g., REST APIs, WebSocket servers) that aggregate, transform, and serve data to your front-ends — full ownership from data feed to UI. •    Shape the front-end stack and standards for state management, testing, and performance. •    Design for real-time data over WebSockets/streaming; ensure graceful degradation and resilience. •    Work directly with trading and backend engineers to understand workflow requirements and translate them into intuitive, high-performance interfaces — there are no designers or product managers; good product instincts are part of the role. •    Build reusable component libraries and a lightweight design system tailored to trading workflows. •    Instrument apps for telemetry and user-centric performance (TTI, frame times), and partner on end-to-end observability. •    Maintain high code quality through reviews, automation, and thoughtful documentation. What You Bring •    5+ years building complex front-end applications, ideally in real-time or data-heavy domains. •    Expertise with a modern framework (React is the current stack) and TypeScript. •    Strong grasp of state management (Redux, Zustand, MobX, or similar) and testing (Jest, React Testing Library). •    Experience with real-time transports (WebSocket, SSE) and data visualization (e.g., Highcharts, D3, Recharts). •    Comfort building and owning lightweight backend services to support your UIs — Python/FastAPI or similar; this is not a pure front-end role. •    Keen product/UX instincts and a pragmatic approach to trade-offs; able to own UX decisions without dedicated design support. •    A genuine enthusiasm for AI-assisted development. You are actively using AI coding tools in your daily workflow, you experiment on your own, and you bring that curiosity to how you approach problems. AI proficiency is not about a specific tool — it's about having the mindset and habit of leveraging AI as a force multiplier. Domain Knowledge Our ideal candidate brings meaningful familiarity with one of the following: •    Sports betting — You understand markets, odds, order flow, or have worked on trading, risk, or operations tooling in this space. •    Financial markets or prediction markets — Exchange, derivatives, or prediction market background with a demonstrated interest in applying that to sports. •    Strong independent interest — Meaningful side projects or self-directed learning in sports betting, financial exchanges, or prediction markets are equally welcome. Nice to Have •    Experience with AG Grid or similar enterprise data grid libraries; high-density, real-time tabular data is central to our UIs. •    Familiarity with order book visualization and the mechanics of exchange-traded markets. •    Exposure to Electron or desktop packaging for internal tools.  

Company Overview Our client is a new, fully remote market maker on prediction markets, funded by a tier 1 operator to build next-generation trading systems, leveraging huge industry IP & resources from the tier 1 operator. The founding team includes true industry veterans with a vision for the future. They are building a lean, fully remote, senior team focused on high-performance systems, pragmatic engineering, and rapid iteration. Mission Design and build exchange gateways, trading strategies, and supporting services that power the prediction market trading platform. What You Will Do •    Design and implement low-latency services in C#/.NET for market data ingestion, order routing, and risk controls. •    Use Python for non-hot-path components such as research tooling, data prep, or automation. •    Integrate with platform primitives and data stores (Kafka, Redis, Postgres) with an eye toward resilience and performance. •    Contribute to domain modeling for prediction markets (instruments, orders, fills, risk, P&L). •    Build and evolve exchange gateways using FIX for order entry, WebSocket for market data feeds, and REST for reference/static data — with robust fault tolerance throughout. •    Write clean, testable code; uphold code quality via reviews, automated tests, and thoughtful documentation. •    Collaborate closely with infra, trading, and front-end to iterate quickly and deliver measurable outcomes. •    Instrument services for observability and participate in on-call to own what you build. What You Bring •    7+ years of backend engineering with a strong focus on C#/.NET in production. •    Solid Python skills for tooling and integration (non-hot path). •    Proficiency in concurrent programming, streaming/event-driven designs, and data-intensive systems. •    Hands-on experience with Kafka (or similar), Redis, and relational databases (Postgres preferred). •    Protocol fluency: FIX (order entry — nearly all exchange gateways will be FIX-based), WebSocket (market data), and REST (reference data). Deep FIX experience is a significant plus though not a strict requirement. •    Ownership mindset, product sense, and the ability to navigate ambiguity in a startup environment. •    A genuine curiosity about and comfort with AI tools. You are already using AI to accelerate your work, you experiment on your own time, and you are energized — not intimidated — by how quickly this space is evolving. We are all learning together, and we want people who approach that with enthusiasm. Domain Knowledge (Required) Strong candidates will have meaningful experience or demonstrated interest in one of the following: •    Sports betting — You have hands-on experience in the industry (trading, technology, risk, or operations) and are excited to bring that expertise to prediction markets. •    Financial markets / prediction markets — Exchange, derivatives, or prediction market background with a genuine interest in sports trading. •    Independent depth — Side projects, research, or self-directed learning demonstrating real engagement with sports betting, financial exchanges, or prediction markets will be given serious consideration. Nice to Have •    Some exposure to front-end systems and real-time UI requirements. •    Experience with risk management, market-making, or quantitative research workflows. •    Background in performance profiling and GC tuning for low-latency services.