Lead Trading Engineer

Recrucial; Remote; GBP 74,000 - 113,000; Full time

Job summary

A leading quantitative hedge fund is seeking a Lead Trading System Engineer to optimize and scale their trading platform. This fully remote role requires a senior engineer with expertise in Python and systematic trading. You will ensure flawless execution during market hours while collaborating closely with a cross-functional team. Competitive compensation and a transparent environment are offered. Join to have a direct impact on trading performance in high-stakes settings.

Benefits

Flexible work hours

Competitive compensation

Performance-based rewards

Qualifications

• Proven experience building complex scalable systems in Python.
• Experience in systematic trading across global equity markets.
• Hands-on experience with AWS services for deployment and observability.

Responsibilities

• Maintain and scale the core trading platform with brokers and exchanges.
• Monitor live trading for error-free order management.
• Collaborate to improve execution quality and reduce costs.

Skills

Python expertise

Quant-equity trading knowledge

Order Management Systems (OMS) & Execution Management Systems (EMS)

AWS proficiency

Engineering discipline

Strong communication skills

Availability during market hours

Tools

Terraform

Docker

Kubernetes

CI/CD pipelines

Job description

Lead Trading System Engineer

Location: Remote overlap with European and US market hours (09:00–22:00 CEST / 3 AM – 4 PM EST)

Who We Are

We are a cutting-edge quantitative hedge fund dedicated to driving superior investment performance through technology and innovation.

Our focus is on combining state‑of‑the‑art software engineering with advanced quantitative research building systems that allow our team to execute thousands of trades per week with precision and speed.

Our approach is agile, iterative and data‑driven with a strong focus on collaboration between engineers, quants and management.

What We Do

We design and operate a high‑performance trading platform that connects to multiple brokers and exchanges worldwide.

This platform is at the heart of our business, handling everything from order management and execution optimisation to performance simulations and reconciliation between modelled and real‑world trades.

In other words it’s the engine that keeps our trading strategies running smoothly, reliably and profitably.

Why We Do It (Our Mission)

Our mission is simple yet ambitious:

to leverage technology and quantitative models to maximise market opportunities while reducing execution costs and slippage.

By continuously improving the quality of our trading systems and processes we aim to deliver consistent superior results for our investors and clients.

How We Do It

• Building scalable and fault‑tolerant systems in Python and AWS.
• Iterating fast: we start simple, measure impact on execution and improve based on real data instead of overengineering.
• Using best practices like unit testing, clean code and reusable components to ensure stability and minimise downtime.
• Collaborating closely across teams to optimise every aspect of the trading lifecycle.

Who Works With Us

You’ll be joining a highly skilled and cross‑functional team of quantitative researchers, developers and trading professionals.

Our team thrives on problem‑solving and innovation with a flat hierarchy where ideas are valued and rapid decision‑making is encouraged.

You’ll work directly with senior management and quants ensuring your contributions have a direct measurable impact on the company’s performance.

Why This Vacancy Exists

As our trading strategies grow and evolve we need a technical leader to take ownership of our trading platform.

This role was created to scale and optimise the systems that directly influence our trading performance and profitability.

Who We Are Looking For

We need a senior hands‑on engineer with a deep understanding of both software architecture and systematic equity trading.

Must‑Have Skills

• Python expertise: proven experience building complex scalable systems.
• Quant‑equity trading knowledge: experience in systematic trading across global equity markets at funds with $100M AUM working with top‑tier prime brokers (e.g. JPMorgan, Goldman Sachs).
• Order Management Systems (OMS) & Execution Management Systems (EMS) – understanding of order routing, trade reconciliation and algorithmic execution.
• AWS proficiency: hands‑on experience with AWS services for deployment, storage and observability.
• Engineering discipline: unit testing, clean code and iterative design mindset.
• Strong communication skills: fluent English, able to collaborate effectively across teams.
• Availability during market hours overlapping European and US market times.

Nice‑to‑Have Skills

• Experience setting up and maintaining FIX connections with prime brokers.
• Knowledge of market microstructure and execution optimisation techniques.
• DevOps experience with Terraform, Docker, Kubernetes and CI/CD pipelines.

What You’ll Be Doing

• Maintain and scale the core trading platform, integrating with brokers and exchanges through OMS/EMS APIs and custom data formats.
• Monitor live trading to ensure flawless execution and error‑free order management.
• Collaborate with quants and management to continuously improve execution quality and reduce costs like slippage and transaction fees.
• Build and refine a trading simulation tool reconciling simulated vs. real‑world results.
• Design and implement components for order lifecycle management: bid/ask pricing, P&L estimation and execution cost tracking.
• Develop robust reusable Python code with a focus on performance and fault tolerance.
• Contribute to the architecture of new features ensuring scalability and future‑proof design.

What We Offer

• Fully remote role with flexible work hours aligned to European and US markets.
• Work with a world‑class team where your contributions directly impact company performance.
• Opportunities to innovate and shape the platform architecture from the ground up.
• Competitive compensation with international contracts and performance‑based rewards.
• A collaborative and transparent environment free from bureaucracy and unnecessary processes.

Our Hiring Process

• Initial interview: introduction and alignment on skills, expectations and goals.
• Technical discussion: deep dive into your experience with trading systems and Python.
• Practical evaluation: system design or problem‑solving exercise (no endless coding tests).
• Final interview: with leadership and key team members.
• Offer stage: quick turnaround and clear terms.

Why This Role Matters

This is not just another engineering job – it’s an opportunity to directly influence the P&L of a cutting‑edge hedge fund.

If you thrive in high‑stakes environments, love building systems that move real money and want to see your work make an immediate impact, this role is for you.

Employment Type

Full Time

Experience

Years

Vacancy

1