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For Companies At a Glance
- Tasks: Join a dynamic team to develop and enhance quantitative models for commodities.
- Company: Leading FinTech firm with a focus on innovative trading technology.
- Benefits: Market-leading salary, bonuses, healthcare, pension, and hybrid working options.
- Other info: Exciting opportunities for mentorship and career growth in a high-talent environment.
- Why this job: Be part of a cutting-edge team shaping the future of trading technology.
- Qualifications: 3+ years as a Quantitative Analyst with strong C++ and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
The Client
My client is a market leading FinTech business that spun out of one of the largest and most successful hedge funds in the world. Their offering is a suite of quantitative, technology and investment management infrastructure services that they provide to the world's leading hedge funds and asset managers. They have offices in London, Stamford and Hong Kong. Their USP is a cutting edge, cloud hosted portfolio management system that is fed by pricing models developed by the quant team, and provides pre-trade analytics for pricing and risk management, as well as ongoing live risk & PnL management across a wide range of derivative asset classes.
They are looking for a Quantitative Analyst with strong knowledge of Commodity Products to join their Global Quantitative Analytics & Development team.
What You'll Get
- An opportunity to be part of one of the most exciting buy-side FinTech businesses in the world with a clear goal to become the first choice trading technology provider with asset managers and financial institutions alike, across the derivatives markets.
- There is a high talent density and as such you will be working with top performers from across the industry with exceptional mentoring and opportunities to learn and develop your skills.
- They pay market leading compensation, including an annual discretionary bonus, with ongoing opportunities for financial advancement.
- Furthermore, they offer benefits including pension contribution, healthcare, life insurance, 26 days holiday and hybrid working.
What You'll Do
The successful candidate will join the Analytics team and is expected to contribute to the development and enhancement of new and existing models/analytics in the core Quant Analytics library (written in C++). Furthermore, the individual is expected to develop and enhance existing tools written in Python. The individual will play a key role in expanding the firm's quantitative capabilities in Commodities, with a focus on building out coverage in power, emissions and agricultural/soft commodities, while enhancing their existing Energy and Metals models to incorporate crack spreads, swaps, and Asian/averaging options. Alongside this development work, the role involves providing ongoing client support across all asset classes, with particular depth in commodities. The role is also responsible for maintaining and improving their existing BAU systems and processes. The position represents an exciting opportunity to work closely with technical portfolio managers in a market focussed quant group.
What You'll Need
- Minimum of 3 year's experience working as a Quantitative Analyst.
- Commodities modelling experience; including expertise in some of the following products: agricultural, power, oil, gas, base/precious metals or emissions.
- Any other Derivatives instrument expertise would be highly beneficial.
- Strong C++ development ability is essential; strong Python would also be highly beneficial.
- Experience supporting a live production environment and models.
Quantitative Analyst - Commodities - Hedge Fund FinTech in London employer: Tempest Vane Partners
Contact Detail:
Tempest Vane Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Commodities - Hedge Fund FinTech in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in FinTech. You never know who might have a lead on that Quantitative Analyst role you’re after.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your C++ and Python skills. Share examples of how you've used them in real-world scenarios, especially in commodities modelling. It’s all about showing you can hit the ground running!
✨Tailor Your Approach
Don’t just send out generic messages. Tailor your outreach to each company, especially if they’re in the hedge fund space. Mention specific projects or technologies they use that excite you. This shows you’ve done your homework and are genuinely interested.
✨Apply Through Our Website
We’ve got a fantastic platform for job applications. Make sure to apply through our website to streamline your application process. Plus, it gives us a better chance to see your profile and skills upfront!
We think you need these skills to ace Quantitative Analyst - Commodities - Hedge Fund FinTech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with commodities and any relevant modelling skills. We want to see how your background aligns 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 specific projects or challenges you've tackled, especially those involving C++ and Python.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Tempest Vane Partners
✨Know Your Commodities
Make sure you brush up on your knowledge of commodity products, especially in areas like power, emissions, and agricultural commodities. Be ready to discuss specific models you've worked on and how they relate to the role.
✨Showcase Your Coding Skills
Since strong C++ and Python skills are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to quantitative analysis beforehand.
✨Understand the Business
Familiarise yourself with the company's unique selling points and their cloud-hosted portfolio management system. Being able to articulate how your skills can contribute to their goals will set you apart from other candidates.
✨Prepare for Client Support Scenarios
As the role involves providing ongoing client support, think about past experiences where you've successfully resolved issues or provided insights. Be ready to share examples that highlight your problem-solving skills and ability to communicate complex concepts clearly.