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- Tasks: Join a team of experienced Quants to validate risk and pricing models for commodities.
- Company: A leading global player in the oil and gas industry with a profitable track record.
- Benefits: Enjoy high bonuses and mentorship from top-tier professionals in the field.
- Why this job: Exciting opportunity to grow your skills in a dynamic environment with strong earning potential.
- Qualifications: 3-5 years of model validation experience and a quantitative degree (PhD or MSc preferred).
- Other info: Strong coding skills in Python or C++ are essential; commodities experience is a plus.
The predicted salary is between 48000 - 72000 £ per year.
One of the largest companies globally, and a major player in the oil and gas industry is looking to hire a model validation quant, ideally with 3-5 years of experience, to help build out their model validation desk.
You would be joining a team of experienced Quants and will be mentored by an exceptional quant from a tier 1 bank who recently joined the desk. You will be working on the validation of the front office risk and pricing models for the commodities business.
It’s an exciting time to be joining the company; last year was incredibly profitable, seeing end of year bonuses achieving an all-time high with the expectation for next year’s bonuses to be even higher.
Key Skills:
- Model Validation experience ideally validating models used to price both vanilla and exotic derivatives.
- Undergraduate degree, plus PhD or MSc in a quantitative subject area (e.g. physics, mathematics, electrical engineering or mathematical finance).
- Strong coding skills in Python or C++ (a strong candidate will be confident in both).
Desirable Skills:
- Commodities experience.
- Applied mathematics knowledge including stochastic calculus, probability theory, and Monte Carlo methods.
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Model Validation Quant Analyst employer: Fourier Ltd
Contact Detail:
Fourier Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Validation Quant Analyst
✨Tip Number 1
Make sure to highlight your model validation experience in your conversations. When networking or during interviews, discuss specific models you've validated and the impact of your work on risk management.
✨Tip Number 2
Brush up on your coding skills in Python and C++. Be prepared to demonstrate your proficiency through practical examples or coding challenges during the interview process.
✨Tip Number 3
Familiarize yourself with the commodities market and recent trends. Being able to discuss current events and their implications on pricing models will show your genuine interest and expertise in the field.
✨Tip Number 4
Leverage your academic background by discussing relevant coursework or projects that relate to stochastic calculus, probability theory, and Monte Carlo methods. This will help you stand out as a candidate with a strong theoretical foundation.
We think you need these skills to ace Model Validation Quant Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your model validation experience, especially with pricing models for both vanilla and exotic derivatives. Use specific examples from your past roles to demonstrate your expertise.
Showcase Your Education: Clearly state your educational background, particularly your undergraduate degree and any advanced degrees like a PhD or MSc in a quantitative field. This is crucial for this role.
Demonstrate Coding Skills: Include details about your coding proficiency in Python and C++. If you have completed projects or have experience that showcases these skills, be sure to mention them.
Express Interest in Commodities: If you have any experience or knowledge related to commodities, make sure to include that in your application. This will set you apart as a candidate who understands the specific market dynamics.
How to prepare for a job interview at Fourier Ltd
✨Showcase Your Model Validation Experience
Be prepared to discuss your previous experience in model validation, especially with pricing models for derivatives. Highlight specific projects where you validated models and the impact of your work on the business.
✨Demonstrate Your Technical Skills
Since strong coding skills in Python or C++ are essential, be ready to talk about your proficiency in these languages. You might even be asked to solve a coding problem during the interview, so practice common algorithms and data structures.
✨Discuss Your Quantitative Background
Your educational background is crucial for this role. Be prepared to explain how your degree and any advanced studies (PhD or MSc) in quantitative subjects have equipped you with the necessary skills for model validation and risk assessment.
✨Prepare for Technical Questions
Expect questions related to applied mathematics, such as stochastic calculus and Monte Carlo methods. Brush up on these topics and be ready to explain concepts clearly, as well as how they apply to model validation in the commodities sector.
