At a Glance
- Tasks: Collaborate with global teams to develop cutting-edge pricing and risk analytics tools.
- Company: Join Millennium, a leading hedge fund known for innovation in technology and data science.
- Benefits: Enjoy a dynamic work environment with excellent growth opportunities and competitive compensation.
- Other info: Be part of a fast-paced team that values excellence and ownership.
- Why this job: Make an impact in finance by solving complex problems with advanced analytics.
- Qualifications: Experience in pricing models and strong analytical skills are essential.
The predicted salary is between 36000 - 60000 £ per year.
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics and trader support tools. This team will sit under the Fixed Income & Commodities Technology (FICT) group and will develop and maintain the in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities.
Responsibilities:
- Work closely with Quants in London, Geneva & New York to maintain and develop our cross-asset pricing and risk library.
- Work with the business and other Quants to deliver cutting-edge Foreign Exchange specific pre-trade, pricing and risk analytics tools.
Requirements:
- Previous experience with developing pricing/valuation models for Linear Rates, including interest rate curve construction, Inflation modelling, derivative instrument pricing, is required.
- Experience working with FX products, including vanillas and exotics, is preferable but not essential.
- Strong knowledge in at least one of the main numerical methods: Monte Carlo, Finite Differences, Finite Elements.
- Modern C++ professional programming experience is preferred.
- Experience supporting traders or portfolio managers on regular questions like pnl/risk explain and/or pre-trade analysis tools.
- Strong analytical and mathematical skills.
- Strong problem solving capabilities.
- Excellence driven, detail oriented and organized.
- Demonstrating thoroughness and strong ownership of work.
- Solid communication skills.
Quantitative Researcher - Rates in London employer: Millennium Management
As a KDB Developer - Equities, you will join a dynamic front office team that thrives on innovation and collaboration, working in a fast-paced environment that values your contributions. Our company offers a supportive work culture with ample opportunities for professional growth, mentorship from experienced developers, and the chance to work on cutting-edge technology platforms that are pivotal to our trading operations. Located in a vibrant financial hub, we provide a unique opportunity to engage directly with investment professionals while enjoying a competitive benefits package and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - Rates in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Millennium on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those tricky technical interviews. Brush up on your knowledge of pricing models and numerical methods. We want to see you shine when discussing your experience with Linear Rates and FX products!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be ready to tackle real-world scenarios. We love seeing how you approach complex issues, especially in a fast-paced environment like ours.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our Quant Technology team.
We think you need these skills to ace Quantitative Researcher - Rates in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience with pricing models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:In your cover letter, don’t just list your skills—show us how you’ve used them in real-world scenarios. Talk about your experience with numerical methods or programming in C++. We love seeing practical examples!
Be Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it's necessary. We appreciate straightforward communication, so make sure your passion for the role shines through without fluff!
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 keen on joining our team at Millennium!
How to prepare for a job interview at Millennium Management
✨Know Your Models Inside Out
Make sure you can discuss your experience with pricing and valuation models in detail. Be prepared to explain how you've constructed interest rate curves or modelled inflation, as well as any specific challenges you faced and how you overcame them.
✨Brush Up on Numerical Methods
Since strong knowledge of numerical methods like Monte Carlo and Finite Differences is crucial, review these concepts thoroughly. Be ready to discuss how you've applied these methods in your previous work and the impact they had on your projects.
✨Showcase Your Programming Skills
If you have experience with modern C++, be prepared to talk about specific projects where you used it. Highlight any tools or libraries you've developed and how they contributed to trader support or analytics.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex concepts in a straightforward manner, as you'll need to collaborate with Quants across different locations. Think about examples where you've successfully communicated technical information to non-technical stakeholders.
