At a Glance
- Tasks: Develop predictive models and trading signals for European Power Futures markets.
- Company: Leading Quant Trading firm with a focus on innovation.
- Benefits: Competitive salary, bonus scheme, and high-impact role with autonomy.
- Other info: Opportunity for career growth in a dynamic and collaborative team.
- Why this job: Join a sophisticated trading environment and make a real impact in the market.
- Qualifications: MSc or PhD in a quantitative discipline and strong programming skills in Python.
The predicted salary is between 130000 - 130000 € per year.
We are currently partnering with a leading Quant Trading firm looking to expand its European Power trading desk with the addition of a Quant Researcher focused on Power Future markets. You will be working closely with Quant Traders and AI agents to develop predictive models, trading signals, and alpha-generating strategies across European power markets.
Responsibilities:
- Research and develop quantitative trading signals for European Power Futures markets
- Apply advanced machine learning and statistical modelling techniques to identify market opportunities
- Analyse market behaviour, volatility, and structural drivers across European power markets
Requirements:
- MSc or PhD in Mathematics, Physics, Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline
- Proven experience within European power markets, ideally focused on shorter-term futures horizons (days/weeks ahead)
- Strong machine learning and statistical modelling expertise
- Track record of generating actionable trading signals and contributing to alpha generation
- Strong programming skills in Python and experience handling large datasets
What’s on Offer:
- Opportunity to join a highly sophisticated quantitative trading environment
- High-impact role with strong autonomy and ownership
- Competitive compensation structure
- Base salary around £130,000 GBP plus highly competitive bonus scheme
Quantitative Researcher in London employer: NordSearch
Join a leading Quant Trading firm in London, where you will thrive in a dynamic and innovative environment that champions collaboration and cutting-edge research. With a strong focus on employee growth, you will have the opportunity to work alongside top-tier professionals, utilising advanced machine learning techniques to make impactful contributions in the European Power Futures markets. Enjoy a competitive compensation package and the autonomy to drive your projects forward, making this an exceptional place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the Quant Trading space, especially those working with power markets. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and trading signals. This is your chance to demonstrate your machine learning expertise and how you've tackled real market challenges. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with statistical modelling and Python programming. Practise explaining complex concepts in simple terms; this will help you stand out as a clear communicator in a highly technical field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application reflects your passion for quantitative research and the power markets.
We think you need these skills to ace Quantitative Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quant Researcher role. Highlight your experience in European power markets and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your qualifications; showcase your programming skills in Python and your expertise in machine learning. Include specific examples of how you've applied these skills to generate trading signals or analyse market behaviour.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research in power futures and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NordSearch
✨Know Your Quant Basics
Brush up on your quantitative skills and be ready to discuss advanced machine learning and statistical modelling techniques. Make sure you can explain how these methods apply to trading signals and market analysis, especially in the context of European power futures.
✨Showcase Your Experience
Prepare to talk about your previous work in European power markets. Highlight specific examples where you've successfully generated trading signals or contributed to alpha generation. This will demonstrate your practical knowledge and relevance to the role.
✨Get Comfortable with Python
Since strong programming skills in Python are a must, be ready to discuss your coding experience. You might even be asked to solve a problem on the spot, so practice coding challenges related to data handling and analysis beforehand.
✨Understand Market Dynamics
Familiarise yourself with the current trends and structural drivers in European power markets. Being able to discuss recent market behaviour and volatility will show that you're not just theoretically knowledgeable but also engaged with the industry.
