Quantitative Researcher in Slough

Quantitative Researcher in Slough

Slough Full-Time 130000 - 130000 € / year (est.) No home office possible
NordSearch

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 setting.
  • 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

Compensation

Base salary around £130,000 GBP plus highly competitive bonus scheme

Quantitative Researcher in Slough employer: NordSearch

Join a leading Quant Trading firm in London, where you will thrive in a dynamic and innovative environment that fosters collaboration with top-tier Quant Traders and AI agents. With a strong emphasis on employee growth, you will have the opportunity to develop cutting-edge predictive models and trading strategies while enjoying a competitive compensation package and a culture that values autonomy and impactful contributions.

NordSearch

Contact Detail:

NordSearch Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher in Slough

Tip Number 1

Network like a pro! Reach out to professionals in the Quant Trading space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your predictive models and trading signals. This is your chance to demonstrate your expertise in machine learning and statistical modelling, so make it shine!

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of European power markets and be ready to discuss your past experiences with actionable trading signals. We want you to feel confident and ready to impress!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Quantitative Researcher in Slough

Quantitative Research
Predictive Modelling
Trading Signals Development
Alpha Generation Strategies
Machine Learning
Statistical Modelling
Market Analysis

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 and how you can contribute to our team. Be sure to mention any unique insights you have about the European power markets.

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 Quantitative Stuff

Make sure you brush up on your quantitative skills, especially in machine learning and statistical modelling. Be ready to discuss specific techniques you've used in the past and how they can apply to trading signals in European power markets.

Showcase Your Market Knowledge

Familiarise yourself with the European power markets, particularly focusing on shorter-term futures. Be prepared to discuss recent market trends and how they might impact trading strategies. This shows you're not just a numbers person but also understand the market dynamics.

Demonstrate Your Programming Prowess

Since strong programming skills in Python are essential, be ready to talk about your experience handling large datasets. You might even want to prepare for a coding challenge or technical questions that test your ability to write efficient code.

Prepare for Problem-Solving Scenarios

Expect to face some problem-solving scenarios during the interview. Think about how you would approach developing predictive models or generating trading signals. Practising these types of questions can help you articulate your thought process clearly.