Job Description
About the Role:
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We are seeking a Front Office Software with minimum 5 years of experience in systems engineering for front office & operations trading technology within cash equities.
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Job Description
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We are seeking a Front Office Software with minimum 5 years of experience in systems engineering for front office & operations trading technology within cash equities.
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About the Role:
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We are seeking a Front Office Software with minimum 5 years of experience in systems engineering for front office & operations trading technology within cash equities.
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Job Purpose
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This role designs, builds, and supports the trading and analytics applications the desk depends on daily. We build our own tooling, we own it end-to-end, and we hold it to the same standard as any production trading system. You will work directly with traders and operations staff, ship real software, and apply genuine engineering discipline - including structured AI-assisted development as a first-class part of the workflow.
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Key Responsibilities
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Design, build, test, and support Python back-end services and React front-end applications covering order flow, position and risk views, trade analytics, and reporting - modelled explicitly around business domain concepts: OrderRouter, RiskGate, MarketDataFeed, Strategy, OMS.
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Maintain and extend FIX connectivity and order routing integrations across APAC venues; support Fidessa/Triton configuration, session management, and user troubleshooting.
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Design and own PostgreSQL and MSSQL schemas that accurately reflect trading domain models; write and tune queries supporting real-time and end-of-day analytics workflows; coordinate larger database work with the US team.
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Translate trader and operations requirements into clear specifications, walk stakeholders through design decisions,



and communicate incident impact and resolution in plain language.
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Apply a structured TDD cycle without exception: spec sign-off, implementation plan sign-off, automated tests agreed and written before code, peer review of all output (human or LLM-generated), and continuous test execution covering functional correctness, non-functional behavior (latency, throughput, resilience), and code quality gates.
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Use Copilot and LLMs as a disciplined co-author operating inside that defined cycle-spec, sign off, implement, test, review, repeat. Unstructured vibe coding is not practiced here and will not be accepted in peer review.
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Required Skills
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Production Python: fully typed, mypy-strict, domain-modelled, Pythonic; dataclasses, Protocols, precise exception handling.
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Production React/TypeScript: strict mode, no `any`, clean async patterns, cohesive component design.
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FIX protocol: session lifecycle, order state management, drop copy, reconciliation, venue-side troubleshooting.
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Fidessa: hands-on support and integration experience in a live trading environment.
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PostgreSQL and MSSQL: relational schema design for trading workflows, query optimization, operational support.
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Genuine TDD discipline: unit-first, deterministic fixtures, meaningful assertions, coverage on critical paths. Demonstrable in a pair session, not just on a CV.
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Structured LLM co-design practice:



the candidate must be able to articulate their workflow clearly and demonstrate it live.
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Shift Timings: Normal 8 hours + expectation for 07:00am start twice a week local time
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Preferred Skills
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Cash equities microstructure: tick sizes, lot rules, auction mechanics
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CI/CD pipelines (Jenkins or GitHub Actions), structured observability (logging, metrics, tracing), Docker/Kubernetes.
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Must Have
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Strong financial markets / trading technology experience, particularly Cash Equities
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Strong hands‐on Python development
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Front‐office trading systems knowledge and application development experience
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FIX protocol expertise
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Fidessa integration, implementation, or support experience
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Direct experience engaging with traders and business users
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Hands‐on experience building and maintaining trading applications
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Valuable To Have
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SQL and Linux
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OMS / trading workflow experience
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Market data experience
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Futures, Options, and broader Capital Markets exposure
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Production support and trading‐system troubleshooting experience
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Institutional equities experience
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Preferred
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Strong hands‐on React / TypeScript development
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Current day‐to‐day coding responsibilities
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Demonstrable modern software engineering practices
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A profile combining software engineering depth + front‐office trading domain expertise, rather than being predominantly production/support focused
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Prioritize Candidates Who Combine
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Trading technology domain expertise.
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Modern Python development.
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React/TypeScript development.
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Fidessa integration and support experience.
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Direct experience building and maintaining trading applications
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