Millennium
Quantitative Developer/Trading Systems Engineer, Systematic Macro

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Quantitative Developer/Trading Systems Engineer, Systematic Macro
Please send resume submissions to QuantTalentEUR@mlp.com and reference REQ- 30156 in the subject line.
Location: London
Role Overview
A collaborative and entrepreneurial systematic investment team is seeking an experienced Quantitative Trading Systems Engineer to join its Systematic Macro trading team. This role focuses on building the C++ trading systems that underpin live systematic trading across global markets. Working closely with the Senior Portfolio Manager, you will build and maintain the pod’s low-latency trading infrastructure across Futures, FX, and Fixed Income.
The successful candidate will join the systematic macro pod to build the real-time, performance-critical C++ infrastructure that runs the team’s trading — from the production alpha infrastructure through to execution. The role also focuses on production integration, deployment, monitoring, and live trading support, and on liaising with central technology teams to leverage the firm’s existing data and execution services.
Principal Responsibilities
- Build the team’s C++ latency-sensitive trading systems from market data ingestion to order execution
- Productionise performance-critical signal computation within the trading systems
- Build the supporting research infrastructure, including replay and data management
- Support execution-related workflows across systematic strategies in Futures, FX, and Fixed Income
- Specify the team’s performance and infrastructure requirements to central technology teams and work with them to deliver
- Partner with broader technology teams to make effective use of the firm’s shared platforms and services — execution, risk, portfolio management, data, and monitoring
- Implement and maintain team-level trading controls and support live production processes, while ensuring appropriate integration with the firm’s broader trading control framework
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
Why you're a good match
StrongYour 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.
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.
Preferred Technical Skills & Experience
- 5+ years building production systems in an electronic trading environment in futures, FX, and/or fixed income products
- Strong C++ in a performance-critical, low-latency context (primary language for this role)
- Experience building production trading systems and market-data/order-entry components
- Deep understanding of concurrent, real-time systems design
- Strong software engineering fundamentals, including testing, version control, and code quality
- Strong Linux development experience
- Familiarity with monitoring, controls, and production support in a front-office setting is advantageous
- Experience working with shared internal services, APIs, or established platform infrastructure is highly valuable


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Highly Valued Experience
- Experience in low-latency execution or algorithmic trading systems development
- Understanding of systematic trading strategies and front-office trading workflows
- Experience supporting live trading processes, production controls, and operational robustness in systematic trading
- Experience working within a larger institutional technology environment and integrating with shared internal platforms
Qualifications
- Bachelor’s degree required; Master’s or PhD preferred in Computer Science, Engineering, Physics, Mathematics, Statistics, or a related quantitative discipline
- Excellent problem-solving ability and attention to detail
- Strong ownership and ability to work independently
- Clear communicator with a collaborative approach
- Comfortable operating in a fast-paced, production-facing environment
- Calm and effective when responding to issues during trading hours
Target Start Date: As soon as possible
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