Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance risk analytics for equities and equity-derivatives.
- Company: Join a leading multi-strategy hedge fund in London.
- Benefits: Competitive salary, dynamic work environment, and growth opportunities.
- Why this job: Make an impact by solving real-world risk management challenges with cutting-edge analytics.
- Qualifications: Degree in a quantitative field and 2+ years of relevant experience.
- Other info: Fast-paced role ideal for self-starters passionate about finance and technology.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Millennium is a multi‑strategy hedge fund investing across a broad range of asset classes, including Equities, Commodities, and Fixed Income. We are seeking an entrepreneurial Quantitative Risk Analyst to help build and expand our equities and equity‑derivatives risk analytics capabilities. In this role, you will research risk‑management problems, prototype analytics and ML‑driven solutions, and partner with Technology to productionize them within our in‑house risk platform. This is a hands‑on role at the intersection of quantitative finance, portfolio risk, and scientific computing.
Key Responsibilities
- Develop and enhance the firm’s risk analytics framework for fundamental equity and equity‑derivative strategies.
- Prototype risk analytics and collaborate with Technology to integrate them into the in‑house risk engine.
- Research domain‑specific risk questions (e.g., tail risk, factor modeling, volatility regime shifts, correlation/dispersion dynamics) and translate results into measurable analytics and tools.
- Build statistical and machine learning models to improve risk insight and automation (e.g., anomaly detection on portfolio exposures/Greeks, scenario generation/expansion, non‑linear risk approximations).
Qualifications
- Degree in a quantitative discipline: Computer Science, Statistics, Mathematics, Engineering.
- 2+ years of experience in a quantitative role; preferably in a financial organization.
- Proficiency in at least one programming language such as Python, C++, R, or Java.
- Working knowledge of equity risk modeling and quantitative methods (e.g., equity factor models, principal component analysis).
- Strong written and verbal communication skills, with the ability to present clearly to senior Risk stakeholders and Portfolio Managers.
- Self‑starter with a strong ownership mindset and the ability to operate effectively in a fast‑paced environment.
Quantitative Risk Analyst - Global Equities employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst - Global Equities
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative projects, especially those related to risk analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with programming languages and risk modeling techniques, as these are key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Quantitative Risk Analyst - Global Equities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Risk Analyst role. Highlight your quantitative background, programming skills, and any relevant projects or roles that showcase your expertise in risk analytics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how your experience makes you a perfect fit for our team. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Technical Skills: Since this role involves programming and analytics, be sure to include any relevant technical skills in your application. Mention your proficiency in languages like Python or R, and any experience with machine learning models or risk analytics frameworks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Millennium
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge, especially around equity risk modeling and machine learning techniques. Be ready to discuss specific models you've worked with and how they apply to real-world scenarios.
✨Showcase Your Programming Skills
Since proficiency in programming languages like Python or R is key, prepare to talk about your coding experience. Bring examples of projects where you've built statistical models or automated processes, and be ready to demonstrate your problem-solving approach.
✨Research the Company and Role
Dive deep into Millennium's investment strategies and recent market trends. Understanding their approach to risk management will help you tailor your answers and show that you're genuinely interested in contributing to their team.
✨Communicate Clearly and Confidently
Practice explaining complex concepts in simple terms, as you'll need to present your findings to senior stakeholders. Clear communication is crucial, so consider doing mock interviews to refine your delivery and boost your confidence.
