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Mustard Systems Ltd.

Technical Lead - US Sports

London
Posted about 15 hours ago
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We are a small, world-class quantitative trading firm where machine learning, neural networks and advanced data engineering drive our algorithmic trading strategies.

We are building a new trading operation targeting emerging prediction markets in the UK and the rapidly growing US sports market, and we are recruiting an ambitious Technical Lead dedicated to build this operation from the ground up.

Key Responsibilities

You will be the Technical Lead of a small cross-functional team operating across development, quantitative modelling and trading, working alongside experienced quants, traders and developers from across the company. You will design and build critical systems yourself while providing technical supervision, engineering standards and mentorship for the rest of the team to move quickly without compromising the reliability of a live trading operation.

You will lead and own the development of systems including:

  • Low-latency data and trading infrastructure across multiple platforms
  • Automated execution and order-management systems
  • Infrastructure for deploying quantitative models and trading strategies into production
  • Systems for managing positions, capital, risk and exposure
  • Research and simulation tooling for testing new strategies
  • Monitoring and observability for a live, automated trading operation
  • Integrations with new exchanges, data providers and other external systems

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

You will have significant freedom to shape the architecture, technology and development practices of the team. The roadmap will evolve quickly as the markets develop and our operations mature. A key part of the role is deciding what the team should build, how sophisticated it needs to be and where engineering effort will have the greatest commercial impact.

Requirements

We are looking for an exceptional senior software engineer who combines technical depth, sound judgement and an ability to develop others.

To apply, you must have:

  • 3+ years of professional software development experience, including experience with Python
  • Experience designing, building and operating complex production systems
  • Strong understanding of software architecture, data structures, concurrency, networking and distributed systems
  • The ability to diagnose difficult performance and reliability problems
  • Strong technical judgement and the ability to balance speed, simplicity, performance and maintainability
  • The ability to explain complex technical ideas clearly and lead less experienced team members
  • A willingness to remain hands-on while providing technical leadership
  • Ability to use AI and AI generated code effectively and responsibly
  • A degree in Computer Science or a numerical subject from a top university

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Desirable but not required experience:

  • Low-latency and high-throughput systems
  • Algorithmic or quantitative trading
  • Operating betting or trading platform APIs
  • Building data-intensive systems
  • Cloud infrastructure, preferably with AWS
  • Building a new product or technical platform from an early stage

Benefits

  • Competitive salary and significant bonus potential
  • Enhanced pension match with salary sacrifice option
  • Health insurance and life assurance
  • Sabbatical leave after five years
  • 33 days of annual leave (including bank holidays)
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Skills

Python
Software Architecture
Distributed Systems
Low-latency Systems
Quantitative Modelling
Data Structures
Concurrency
Networking
AWS
Algorithmic Trading
Order-management Systems
Technical Leadership
AI Prompting
Risk Management
System Design

Location

London, England, United Kingdom

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