Millennium
Java Algo Developer - EQ Trading Technology

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Software Engineer – Java Developer
Algo Development Technology
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 its 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 Millennium’s business, the Information Technology organisation develops flexible, scalable technology and advanced proprietary systems that support the firm’s active, multi-manager model. Within this organisation, the Equities Tech Algorithmic Development team builds and enhances execution technology supporting Portfolio Managers and trading partners across the platform, with a focus on high-performance, real-time trading systems and execution capabilities.
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
- Partner closely with technologists, Execution Services, and Equity Finance teams to enhance the firm’s execution offering for Portfolio Managers
- Build and evolve real-time algorithmic trading systems and execution platforms in a fast-paced environment
- Develop high-quality new features and enhance functionality on a mission-critical platform
- Design and upgrade software to meet performance, scalability, and quality expectations
- Translate business requirements and market constraints across developed and emerging markets into technical solutions
- Stay current on relevant technologies, tools, technical libraries, computing environments, and academic research
- Support data analysis and provide L3 troubleshooting for issues affecting critical trading infrastructure


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What You Bring
- 7+ years of experience with equities execution systems
- Experience developing execution algorithms such as VWAP, TWAP, Inline, and Pairs
- Experience working on matching engines and dark pools
- Experience implementing automated testing strategies for algorithms, including simulation, backtesting, regression suites, and replay frameworks
- Deep understanding of market microstructure, pre-trade risk checks, limit frameworks, and regulatory requirements, and how they affect execution algorithm performance
- Expert-level Java skills, with extensive experience building low-latency, GC-aware, high-throughput distributed systems
- Strong understanding of distributed, event-driven architectures and messaging technologies such as Kafka, Solace, or similar tools
- Experience working with or building algo container frameworks; experience using AI tools to improve developer productivity is a plus
“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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