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- Tasks: Join our Commodities Analytics team to develop derivatives and structured products.
- Company: Be part of a leading global investment bank trading commodities across major cities.
- Benefits: Enjoy a competitive salary up to £260K plus benefits in a dynamic environment.
- Why this job: Work on impactful projects with traders globally, enhancing your analytical skills.
- Qualifications: 5+ years in quant analytics, strong programming skills, and a relevant advanced degree required.
- Other info: Open to candidates from Commodities, FX, or Equity backgrounds.
Up to £260K Total + Benefits
Leading Global Investment Bank
Nat Gas, Oil, Metals, Gas Curves, Commodity Index, Structured Products, Carbon (C++ or C# with Python)
Our client, a leading global Investment Bank trade commodities in London, New York & Paris, and seek now to recruit an experienced Quantitative Analyst to join their Commodities Analytics team.
You will specialise in the development of derivatives & structured products for their Commodities Desk in London but also used by traders in Paris, Singapore & New York. This client is open to look at quants from a background of Commodities, FX or Equity. You’ll need a strongly analytical approach problem solving with excellent communication skills and ability to work under pressure.
KEY RESPONSIBILITIES:
- Improve existing and implement new derivative pricing models
- Provide risk tools & reports
- Create, improve models for Gas, UK/Continental / Daily gas-curve construction & marking tree.
- Energy/Metal volatility: Maintenance, improvement of existing toolsuite.
- Deliver analytics documentation and test material
- Provide day-to-day support to Commodity Desks (Gas, Crude, Options, Carbon Energy transition)
ESSENTIAL SKILLS & EXPERIENCE:
- 5+ years’ experience in a quant analytics role (ideally including Commodity products)
- Quant analytics experience covering Commodities, FX or Equity Derivative products, with Commodity Index exposure useful.
- Knowledge of Commodities markets – Example: Gas, UK/Continental / Daily gas-curve construction & products for physical delivery.
- Knowledge of Numerical Methods, Stochastic Calculus, Econometrics and Probability
- Good programming skills in C++ or C# or Java as well as Python/Matlab/R
- Strong communication skills. Fluency in written and spoken English
- PhD or Masters’ in a Quantitative / Engineering field
Senior Commodity Derivatives Quant (VP, Dir), London employer: Millar Associates
Contact Detail:
Millar Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Commodity Derivatives Quant (VP, Dir), London
✨Tip Number 1
Make sure to showcase your experience with derivative pricing models and risk tools during networking events or informational interviews. This will help you connect with professionals in the industry who can refer you to opportunities.
✨Tip Number 2
Engage with online communities and forums focused on commodities trading and quantitative analysis. Sharing your insights and asking questions can help you build a network that may lead to job referrals.
✨Tip Number 3
Consider attending industry conferences or workshops related to commodities and quantitative finance. These events are great for meeting potential employers and learning about the latest trends in the field.
✨Tip Number 4
Stay updated on the latest developments in the commodities markets, especially regarding gas and metals. Being knowledgeable about current events can give you an edge in conversations with recruiters and hiring managers.
We think you need these skills to ace Senior Commodity Derivatives Quant (VP, Dir), London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative analytics, especially in commodities, FX, or equity derivatives. Emphasize your programming skills in C++, C#, and Python, as well as any relevant projects or achievements.
Craft a Strong Cover Letter: In your cover letter, express your passion for the commodities market and your analytical approach to problem-solving. Mention specific experiences that demonstrate your ability to improve derivative pricing models and provide risk tools.
Showcase Relevant Skills: Clearly outline your knowledge of numerical methods, stochastic calculus, and econometrics in your application. Provide examples of how you've applied these skills in previous roles, particularly in relation to gas curve construction or volatility maintenance.
Highlight Communication Abilities: Since strong communication skills are essential for this role, include examples in your application where you successfully collaborated with teams or presented complex information clearly. This will show that you can support the Commodity Desks effectively.
How to prepare for a job interview at Millar Associates
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've applied your analytical skills in previous roles. Highlight any experience with derivative pricing models or risk tools, as this will resonate well with the interviewers.
✨Demonstrate Programming Proficiency
Be ready to talk about your programming experience, especially in C++, C#, and Python. You might be asked to solve a coding problem or explain your approach to developing models, so brush up on your technical skills.
✨Understand Commodity Markets
Familiarize yourself with the latest trends and challenges in commodity markets, particularly in gas and oil. Showing that you have a solid grasp of market dynamics will set you apart from other candidates.
✨Communicate Clearly and Confidently
Since strong communication skills are essential for this role, practice articulating complex concepts in a clear and concise manner. Be prepared to explain your thought process and findings during the interview.
