Millennium
Senior Quantitative Developer

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About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Core to the health and growth of our business, Millennium’s Information Technology team supports the firm’s active, multi-manager business model through flexible, scalable technology and advanced proprietary systems. The team develops next-generation analytical and trading capabilities, including high-performance infrastructure that supports central trading teams and enables execution across businesses and regions.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Do
- Design, develop, and maintain low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
- Partner directly with central trading teams to optimize execution performance across businesses and regions.
- Reduce system latency using advanced network and systems programming techniques and other performance-focused methodologies.
- Build systems, interfaces, and tools for historical market data analysis and trading simulations to improve research productivity and system testability.
- Develop and maintain automated tests, performance benchmarking frameworks, and internal engineering tools.
- Collaborate with trading teams in a fast-paced environment to gather requirements and deliver effective, timely solutions.
What You Bring


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- Bachelor’s degree in Computer Science or a related field.
- 10+ years of professional software development experience, including at least 5 years in a front-office financial services environment.
- Strong expertise in data structures, algorithms, and object-oriented programming in C++.
- Proficiency with C++17 and C++20, multithreading, and asynchronous programming environments.
- Strong understanding of low-latency and real-time system design and implementation.
- Deep knowledge of Linux system internals and networking.
- Strong financial markets experience across multiple asset classes, with a focus on real-time, low-latency trading systems for equities and futures.
- Proficiency using LLM-based tools to accelerate development, improve code quality, and enhance productivity; working familiarity with Python for quantitative research, data-oriented processing, and execution algorithm performance analysis.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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