Quantitative Researcher in City of London

Quantitative Researcher in City of London

City of London 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 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 City of 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.

NordSearch

Contact Detail:

NordSearch Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher in City of London

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 important it is to make connections that could lead to job opportunities.

Tip Number 2

Show off your skills! Create a portfolio showcasing your predictive models and trading signals. This will give potential employers a taste of what you can bring to the table, especially in the European power markets.

Tip Number 3

Prepare for technical interviews! Brush up on your machine learning and statistical modelling techniques. We recommend practicing coding challenges in Python to demonstrate your programming prowess during interviews.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Quantitative Researcher in City of London

Quantitative Research
Predictive Modelling
Trading Signals Development
Machine Learning
Statistical Modelling
Market Analysis
Volatility 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 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.