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- Tasks: Develop risk analytics and prototype ML-driven solutions for equities and equity-derivatives.
- Company: Dynamic hedge fund in London with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional growth, and a fast-paced work environment.
- Why this job: Join a cutting-edge team and make an impact in quantitative finance.
- Qualifications: Degree in a quantitative field and 2+ years of relevant experience.
- Other info: Opportunity to work with advanced technologies and enhance your analytical skills.
The predicted salary is between 43200 - 72000 £ 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.
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).
- Apply modern scientific computing techniques to run large-scale simulations, stress tests, and factor decompositions, and synthesize findings into actionable conclusions.
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 in London employer: Millennium Management LLC
Contact Detail:
Millennium Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst - Global Equities in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and risk analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative projects, especially those related to risk analytics. Whether it's a GitHub repo with your coding projects or a blog explaining your findings, having tangible evidence of your expertise can really set you apart.
✨Tip Number 3
Prepare for the interview like it’s the Super Bowl! Research the company, understand their risk strategies, and be ready to discuss how your skills can enhance their analytics framework. Practise common interview questions and have your own questions ready to show your interest.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our careers page for the latest opportunities and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Quantitative Risk Analyst - Global Equities in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your experience in quantitative finance and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills: Don’t just list your programming languages; show us how you’ve used them in real-world scenarios. If you've built models or conducted simulations, share those experiences! We love seeing practical applications of your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk analytics and how you can contribute to our team. Keep it concise but impactful – we want to feel your enthusiasm!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Millennium Management LLC
✨Know Your Quantitative Stuff
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
Make sure you can talk confidently about your experience with programming languages like Python or R. Prepare to discuss any projects where you've used these skills to solve complex problems, particularly in a financial context.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of risk analytics and statistical methods. Practice explaining concepts like tail risk and factor modeling clearly, as you'll need to communicate these ideas effectively to senior stakeholders.
✨Demonstrate Your Problem-Solving Approach
Be ready to walk through your thought process when tackling risk management problems. Share examples of how you've prototyped solutions and collaborated with tech teams to implement them, highlighting your hands-on experience.
