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- 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 pay, bonuses, healthcare, pension, and 26 days holiday.
- Other info: Collaborate with top industry talent in a hybrid working 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 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. Their USP is a cutting-edge, cloud-hosted portfolio management system that is fed by pricing models developed by the quant team, providing 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. This is 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 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.
- Benefits include pension contribution, healthcare, life insurance, 26 days holiday and hybrid working.
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, focusing 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 position represents an exciting opportunity to work closely with technical portfolio managers in a market-focused quant group.
Minimum of 3 years' experience working as a Quantitative Analyst, including expertise in some of the following products: agricultural, power, oil, gas, base/precious metals or emissions. Strong C++ development ability is essential; strong Python would also be highly beneficial.
Quantitative Analyst - Commodities - Hedge Fund FinTech in City of 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 City of 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. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your expertise in commodities and programming. Bring examples of your work or projects you've tackled in C++ and Python to the conversation.
✨Tailor Your Approach
Every company is different, so make sure you tailor your pitch to highlight how your skills align with their needs. Research the firm’s focus areas and be ready to discuss how you can contribute to their quantitative capabilities.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at this cutting-edge FinTech.
We think you need these skills to ace Quantitative Analyst - Commodities - Hedge Fund FinTech in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with commodity products and your C++ and Python skills. We want to see how your background aligns with our cutting-edge analytics team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about joining our FinTech business and how you can contribute to our innovative portfolio management system. Let us know what makes you tick!
Showcase Your Quant Skills: In your application, don’t forget to showcase your quantitative skills and any relevant projects you've worked on. We love seeing real-world applications of your knowledge, especially in commodities and derivatives!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our talent pool. We can’t wait to see what you bring to the table!
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 how these products work and their market dynamics, as this will show your potential employer that you're not just a numbers person but also understand the industry.
✨Showcase Your Coding Skills
Since strong C++ development ability is essential for this role, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem or explain your thought process on a coding challenge, so practice common algorithms and data structures in C++ and Python to feel confident.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis and risk management. Brush up on your understanding of pricing models, pre-trade analytics, and PnL management. Being able to articulate your experience with these concepts will set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company's technology stack, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.