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- Tasks: Lead and develop advanced quantitative models for energy trading strategies.
- Company: Join a renowned energy proprietary trading firm making waves in the European market.
- Benefits: Enjoy a high-impact role with opportunities for team leadership and innovation.
- Why this job: Shape the future of energy trading while collaborating with top professionals in a dynamic environment.
- Qualifications: Experience in quantitative roles, strong programming skills, and knowledge of energy markets required.
- Other info: Passion for continuous learning and innovative problem-solving is essential.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Manager – Energy Trading We are mandated by a renowned energy proprietary trading firm who is seeking an experienced Quantitative Manager to lead and oversee the quantitative strategies across their energy trading desks in the European power and gas markets. This high-impact role involves developing and refining advanced models, managing a team of quantitative professionals, and ensuring our trading strategies are driven by cutting-edge data and analytic. You will be responsible for optimising performance across desks including Short-Term Stack, Carbon, and Intraday Trading. As a leader, you will collaborate closely with traders, analysts, and technical teams to drive innovation, improve performance, and strengthen the firm’s competitive edge in a rapidly evolving market. If you are passionate about quantitative analysis, energy markets, and team leadership, we want to hear from you. Responsibilities: Lead the development of advanced quantitative models (e.g., LP, MILP optimisation) that capture energy market dynamics and support both fundamental and high-frequency trading strategies. Drive model integration into trading platforms, ensuring real-time execution and actionable insights to maximise trading performance. Manage and mentor a high-performing quant team, fostering collaboration across trading desks and driving continuous professional growth. Advance power market models using statistical and machine learning techniques to improve trading strategies and decision-making. Oversee back testing and automation of trading strategies using trade/order book data and financial time series analysis. Act as a key interface between quantitative research and trading, ensuring insights directly shape trading decisions. Identify and exploit market inefficiencies, developing pricing models for options, OTC instruments, and physical assets. Support strategies for liquid assets, capturing value in less-liquid market segments. Evaluate performance of quantitative tools and strategies, driving improvements through KPIs like Return on Collateral (RoC) and trading metrics. Experience and Requirements: Years in quantitative roles, preferably within energy or commodity trading. Strong experience leading teams and managing cross-functional projects. Advanced proficiency in statistical modelling, optimisation (LP, MILP), and time series analysis. Expert-level programming skills in Python, SQL, and NoSQL; knowledge of Julia is a plus. Familiarity with machine learning techniques in trading environments is highly desirable. In-depth understanding of EU power and gas markets (knowledge of Japan markets is a plus). Strong background in market data analytic, including trade/order book data and financial market structures. Proven ability to solve complex problems with innovative solutions. Strong communication skills, with the ability to present complex ideas to diverse stakeholders. A passion for continuous learning and staying at the forefront of industry trends. If this would be something of interest to you or you would be interested in finding out more, please contact me at l.couronne@gcstechtalent.com
Quantitative Manager employer: GCS Quant
Contact Detail:
GCS Quant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Manager
✨Tip Number 1
Make sure to showcase your experience in leading quantitative teams and managing cross-functional projects. Highlight specific examples where you successfully drove innovation and improved performance in previous roles.
✨Tip Number 2
Familiarize yourself with the latest trends in energy markets, especially in the EU power and gas sectors. Being able to discuss current market dynamics and how they impact trading strategies will set you apart during discussions.
✨Tip Number 3
Demonstrate your programming skills by discussing relevant projects or models you've developed using Python, SQL, or NoSQL. If you have experience with Julia, be sure to mention that as well, as it can be a valuable asset.
✨Tip Number 4
Prepare to discuss your approach to back testing and automating trading strategies. Be ready to explain how you've used trade/order book data and financial time series analysis to optimize trading performance in the past.
We think you need these skills to ace Quantitative Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative roles, especially within energy or commodity trading. Emphasize your leadership skills and any relevant projects that showcase your ability to manage teams and drive cross-functional initiatives.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative analysis and energy markets. Discuss specific examples of how you've developed advanced models or led teams in previous roles, and explain how these experiences make you a great fit for the Quantitative Manager position.
Showcase Technical Skills: Highlight your programming skills in Python, SQL, and NoSQL prominently in your application. If you have experience with Julia or machine learning techniques, be sure to mention those as well, as they are highly desirable for this role.
Demonstrate Market Knowledge: Illustrate your understanding of EU power and gas markets in your application. Provide insights into how you have previously identified market inefficiencies or developed pricing models, as this will show your capability to contribute effectively to the firm's trading strategies.
How to prepare for a job interview at GCS Quant
✨Showcase Your Quantitative Expertise
Be prepared to discuss your experience with advanced quantitative models, particularly in the context of energy markets. Highlight specific projects where you've developed or refined models that capture market dynamics.
✨Demonstrate Leadership Skills
Since this role involves managing a team, share examples of how you've successfully led teams in the past. Discuss your approach to mentoring and fostering collaboration among team members.
✨Discuss Technical Proficiency
Make sure to emphasize your programming skills, especially in Python, SQL, and NoSQL. Be ready to explain how you've applied these skills in real-world trading scenarios, including any experience with machine learning techniques.
✨Understand Market Dynamics
Research the current trends in the EU power and gas markets. Be prepared to discuss how you would identify and exploit market inefficiencies, and share your insights on pricing models for various instruments.
