Quantitative Analyst

Quantitative Analyst

City of London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our trading analytics team to develop models and tools for energy trading.
  • Company: We're a growing, independent B2B energy company based in London.
  • Benefits: Enjoy a full-time role with opportunities for professional growth and development.
  • Why this job: Make a real impact on trading strategies in the dynamic energy market.
  • Qualifications: Strong programming skills in Python, SQL, and Excel; degree in a quantitative field required.
  • Other info: Ideal for London-based candidates; no sponsorship available.

The predicted salary is between 43200 - 72000 £ per year.

I'm currently supporting a growing, independent B2B energy company in their search for a Quantitative Analyst to join their trading analytics team in London. This is a fantastic opportunity for someone with strong analytical and modelling skills to directly impact trading strategy and performance in the gas and power markets.

Key Responsibilities:

  • Develop models and tools to support pricing, hedging, and market analysis.
  • Build custom pricing and trading tools to enhance deal execution and P&L.
  • Work closely with traders to refine models and adapt to market feedback.
  • Create dashboards and insights to support data-driven trading decisions.
  • Analyse performance of trading models and strategies.
  • Maintain and expand a library of quantitative models and tools.
  • Conduct ad hoc portfolio analysis and support model documentation for validation.
  • Share insights and contribute to knowledge development across the team.

Ideal Background:

  • Strong programming skills (Python preferred); SQL and Excel experience.
  • Experience in stochastic modelling (e.g., Monte Carlo, OU processes).
  • Understanding of energy markets (power/gas) is a plus.
  • Exposure to machine learning and its practical applications in modelling.
  • Highly numerate, detail-oriented, and comfortable working with large datasets.
  • Degree in a quantitative field (e.g. Maths, Physics, Computer Science, Engineering, Economics).

Highly preferable if you are based in London as this client can't sponsor unfortunately.

Quantitative Analyst employer: Charles Levick Limited

Join a dynamic and innovative energy trading company in London, where your analytical skills will directly influence trading strategies in the gas and power markets. We offer a collaborative work culture that fosters professional growth, with opportunities to develop cutting-edge models and tools while working closely with experienced traders. Enjoy the benefits of being part of a forward-thinking team in a vibrant city, where your contributions are valued and recognised.
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Contact Detail:

Charles Levick Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in energy trading and quantitative analysis. Understanding current market dynamics will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the energy trading sector. Attend industry events or join relevant online forums to connect with potential colleagues and learn more about the role and company culture.

✨Tip Number 3

Brush up on your programming skills, especially in Python, as well as SQL and Excel. Being able to showcase your technical abilities in these areas can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss specific quantitative models you've worked on in the past. Be ready to explain your thought process and how your contributions have impacted trading strategies or performance.

We think you need these skills to ace Quantitative Analyst

Strong Analytical Skills
Modelling Skills
Programming Skills (Python preferred)
SQL Proficiency
Excel Proficiency
Stochastic Modelling (e.g., Monte Carlo, OU processes)
Understanding of Energy Markets (Power/Gas)
Machine Learning Exposure
Data Analysis
Dashboard Creation
Performance Analysis of Trading Models
Attention to Detail
Ability to Work with Large Datasets
Degree in a Quantitative Field (e.g. Maths, Physics, Computer Science, Engineering, Economics)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your analytical and modelling skills, particularly in relation to energy trading. Include specific examples of projects or tools you've developed that align with the responsibilities listed in the job description.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your understanding of energy markets and how your background in programming and quantitative analysis makes you a great fit for the position.

Showcase Relevant Skills: Emphasise your programming skills, especially in Python, and any experience with SQL and Excel. Mention any exposure to stochastic modelling and machine learning, as these are key components of the role.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a Quantitative Analyst.

How to prepare for a job interview at Charles Levick Limited

✨Showcase Your Analytical Skills

As a Quantitative Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've developed models or tools in the past, particularly in relation to pricing or market analysis. Highlight any relevant projects that demonstrate your ability to impact trading strategies.

✨Demonstrate Programming Proficiency

Since strong programming skills are essential for this role, make sure to brush up on Python, SQL, and Excel. Be ready to talk about your experience with these languages, and if possible, prepare to solve a coding challenge or discuss a project where you used these skills effectively.

✨Understand the Energy Market

Having a grasp of the energy markets, especially gas and power, will set you apart. Research current trends and challenges in the industry, and be prepared to discuss how they might affect trading strategies. This shows your genuine interest and understanding of the field.

✨Prepare for Technical Questions

Expect technical questions related to stochastic modelling and machine learning applications. Review concepts like Monte Carlo simulations and be ready to explain how you've applied them in real-world scenarios. This will demonstrate your depth of knowledge and readiness for the role.

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