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- Tasks: Analyse commodities risk and build quantitative models for performance insights.
- Company: Join a leading hedge fund in the heart of London.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant office culture.
- Why this job: Make an impact with data-driven decisions in a dynamic financial environment.
- Qualifications: Advanced degree in a quantitative field and 3+ years of relevant experience required.
- Other info: Strong programming skills in Python and experience with GUI tools are essential.
The predicted salary is between 48000 - 72000 £ per year.
The Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis.
Responsibilities:
- Develop data-driven analytical models to uncover performance patterns among portfolio managers and pinpoint key drivers of P&L and risk (e.g., factor models, risk decomposition).
- Design and implement interactive dashboards for risk analysis and scenario visualization, providing intuitive GUI tools for decision support.
- Collaborate with the Quant Technology team to build and enhance option pricing and volatility models.
Skills:
- Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics.
- Minimum of 3 years’ experience in a professional role within Trading, Structuring, Risk, or Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities house.
- Strong programming skills, particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL.
- Experience with GUI development tools such as Dash, Panel, or equivalent is a plus.
Quantitative Risk Analyst - Commodities employer: H&P Executive Search
Contact Detail:
H&P Executive Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst - Commodities
✨Tip Number 1
Familiarise yourself with the latest trends in commodities risk analysis. Understanding current market dynamics and how they affect risk can give you an edge during interviews.
✨Tip Number 2
Network with professionals in the hedge fund and commodities sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the role.
✨Tip Number 3
Brush up on your programming skills, especially in Python and SQL. Consider working on personal projects or contributing to open-source projects to showcase your abilities.
✨Tip Number 4
Prepare to discuss your experience with quantitative models and data visualisation tools. Be ready to share specific examples of how you've used these skills in past roles.
We think you need these skills to ace Quantitative Risk Analyst - Commodities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, risk management, and programming skills. Emphasise any specific projects or roles that align with the responsibilities of a Quantitative Risk Analyst in Commodities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for commodities and quantitative analysis. Mention your advanced degree and how your skills in Python and data science tools make you a strong candidate for the role.
Highlight Relevant Skills: In your application, clearly outline your programming skills, particularly in Python and SQL. If you have experience with GUI development tools, be sure to mention this as it is a plus for the role.
Showcase Collaborative Experience: Since the role involves collaboration with the Quant Technology team, include examples of past teamwork in your application. Highlight any projects where you worked alongside others to develop models or tools.
How to prepare for a job interview at H&P Executive Search
✨Showcase Your Technical Skills
Make sure to highlight your programming skills, especially in Python and SQL. Be prepared to discuss specific projects where you've used data science tools like Pandas or scikit-learn, as this will demonstrate your hands-on experience.
✨Understand the Commodities Market
Familiarise yourself with current trends and challenges in the commodities market. Being able to discuss recent developments or case studies will show your genuine interest and understanding of the field.
✨Prepare for Quantitative Problem-Solving
Expect to tackle quantitative problems during the interview. Brush up on your mathematical and statistical knowledge, and be ready to explain your thought process clearly when solving these problems.
✨Demonstrate Collaboration Skills
Since the role involves working with the Quant Technology team, be prepared to discuss your experience in collaborative projects. Highlight instances where you successfully worked with others to achieve a common goal, particularly in developing models or dashboards.
