Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to validate risk and pricing models for commodities.
- Company: A leading global player in the oil and gas industry.
- Benefits: Enjoy high bonuses, mentorship from top-tier professionals, and a dynamic work environment.
- Why this job: Be part of an exciting growth phase with exceptional learning opportunities and a strong team culture.
- Qualifications: 3-5 years of model validation experience and a quantitative degree (PhD or MSc).
- 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' experience, to help build out their model validation desk. You'll 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'll 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, with end-of-year bonuses achieving an all-time high, and 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.
Model Validation Quant Analyst employer: IIBA (International Institute of Business Analysis)
Contact Detail:
IIBA (International Institute of Business Analysis) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Validation Quant Analyst
✨Tip Number 1
Network with professionals in the oil and gas industry, especially those working in quantitative roles. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in model validation.
✨Tip Number 2
Brush up on your coding skills in Python and C++. Consider working on personal projects or contributing to open-source projects that involve model validation or financial modelling to showcase your abilities.
✨Tip Number 3
Familiarise yourself with the specific models used in pricing both vanilla and exotic derivatives. Understanding these models will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 4
Prepare for technical interviews by practising common quant interview questions, particularly those related to stochastic calculus and probability theory. This will help you feel more confident and ready to impress during the interview process.
We think you need these skills to ace Model Validation Quant Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your model validation experience, especially with derivatives. Include specific projects or roles where you validated pricing models, and emphasise your coding skills in Python and C++.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant qualifications, such as your degree and any experience in commodities, and explain how your skills align with the team's needs.
Showcase Technical Skills: Be explicit about your technical abilities in your application. Detail your experience with stochastic calculus, probability theory, and Monte Carlo methods, as these are crucial for the role.
Highlight Team Collaboration: Since you'll be joining a team of experienced Quants, mention any past experiences where you collaborated effectively with others. This could include teamwork on projects or mentoring relationships that demonstrate your ability to work well in a team environment.
How to prepare for a job interview at IIBA (International Institute of Business Analysis)
✨Showcase Your Model Validation Experience
Be prepared to discuss your previous experience in model validation, particularly with pricing models for derivatives. Highlight specific projects you've worked on and the methodologies you used, as this will demonstrate your expertise and relevance to the role.
✨Demonstrate Strong Coding Skills
Since strong coding skills in Python or C++ are essential, be ready to talk about your programming experience. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills and be prepared to showcase your proficiency.
✨Understand the Commodities Market
Having knowledge of the commodities market can set you apart from other candidates. Familiarise yourself with current trends, key players, and recent developments in the industry, as this will show your genuine interest and understanding of the field.
✨Prepare for Technical Questions
Expect technical questions related to applied mathematics, stochastic calculus, and Monte Carlo methods. Review these concepts thoroughly and be ready to explain them clearly, as this will demonstrate your analytical skills and depth of knowledge.
