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- Tasks: Join our trading team to calibrate models and support market risk analysis.
- Company: A leading commodities trading firm based in London, focused on innovation.
- Benefits: Enjoy a full-time role with competitive salary and growth opportunities.
- Why this job: Be part of a dynamic team making impactful decisions in the energy sector.
- Qualifications: 2-5 years in power trading and risk management; Python skills required.
- Other info: Contact Sam at Marlin Selection for more details and apply now!
The predicted salary is between 72000 - 108000 £ per year.
Our client, a commodities trading firm is looking for a Quantitative Analyst to join their trading team in London.
Your responsibilities will include:
- Conducting the initial calibration of proprietary and off-the-shelf models
- Reviewing the calibration of complex structured deals throughout their life cycle
- Conducting and developing stress testing methodology
- Supporting market risk in recognizing model output and back-testing for model calibration validation
You will need to have the following experience:
- 2-5 years experience in an Power trading environment
- 2+ years within the risk management function
- Experience with Python
For more information, contact Sam at Marlin Selection and apply via the link provided.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance and Analyst
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Industries
Financial Services, Oil and Gas, and Renewable Energy Semiconductor Manufacturing
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Power Quantitative Analyst employer: Marlin Selection Recruitment
Contact Detail:
Marlin Selection Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power Quantitative Analyst
✨Tip Number 1
Network with professionals in the commodities trading sector. Attend industry events or webinars where you can meet people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Brush up on your Python skills, especially in relation to quantitative analysis and risk management. Consider working on personal projects or contributing to open-source projects that showcase your ability to apply Python in real-world scenarios.
✨Tip Number 3
Familiarise yourself with the latest trends and methodologies in stress testing and model calibration. Being able to discuss recent developments in these areas during an interview will demonstrate your commitment and expertise.
✨Tip Number 4
Prepare for technical interviews by practising common quantitative problems and case studies related to power trading. This will help you articulate your thought process and problem-solving skills effectively during the interview.
We think you need these skills to ace Power Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in a power trading environment and risk management. Include specific examples of your work with Python and any relevant projects that demonstrate your quantitative skills.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your interest in the role and how your background aligns with the responsibilities listed. Mention your experience with model calibration and stress testing methodologies to show you understand the job requirements.
Highlight Relevant Skills: In your application, emphasise your technical skills, particularly in Python and any other programming languages or tools you are proficient in. This will help you stand out as a candidate who can contribute effectively to the trading team.
Follow Up: After submitting your application, consider reaching out to Sam at Marlin Selection to express your enthusiasm for the position. A brief email can reinforce your interest and keep you on their radar.
How to prepare for a job interview at Marlin Selection Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any relevant quantitative analysis tools. Be prepared to discuss specific projects where you've applied these skills, especially in a power trading environment.
✨Understand the Trading Environment
Familiarise yourself with the commodities trading landscape, particularly in power markets. Demonstrating knowledge of market dynamics and risk management practices will show that you are well-prepared for the role.
✨Prepare for Model Calibration Questions
Since the role involves model calibration, be ready to explain your approach to calibrating both proprietary and off-the-shelf models. Discuss any methodologies you've developed or used in stress testing and back-testing.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm's trading strategies and risk management processes. This not only shows your interest in the role but also helps you assess if the company aligns with your career goals.