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For Companies At a Glance
- Tasks: Design and develop real-time trading applications for fast-paced energy markets.
- Company: Leading energy trading firm with a focus on technology and analytics.
- Benefits: Competitive salary, bonuses, comprehensive insurance, and tuition assistance.
- Why this job: Join a dynamic team making a direct impact on trading strategies and risk management.
- Qualifications: 10+ years in Python software engineering and experience in short-term power trading.
- Other info: Exciting opportunities for professional growth in a data-driven environment.
The predicted salary is between 43200 - 72000 £ per year.
This is an energy trading and infrastructure asset investment firm, powered by deep fundamental research and advanced analytics. Now looking for highly experienced Python engineers who can sit at the intersection of technology and trading to join the Data Science & Technology team in London. This team is pivotal in giving the firm a competitive edge, and the initial scope of this role will focus on short-term power initiatives, building tools and systems that directly enable the front office to test and execute strategies efficiently in fast-moving markets.
To do this, you’ll design, develop and maintain real-time trading applications, analytics platforms, and data pipelines critical to decision-making and strategy deployment for the European Intraday Power desk. This is an exciting opportunity to work within a fast-paced, data-driven trading environment, making a direct impact on systematic trading and risk management efforts.
Requirements
- 10+ years of professional software engineering experience in Python
- Experience with modern frameworks, APIs, and cloud-native architecture
- 5 years’ supporting Intraday Short-Term Power trading (or similar real-time energy market environment)
- Strong foundation in Computer Science fundamentals, including data structures, algorithms, and software design principles
- Proficiency in SQL and relational database technologies
- Familiarity with DevOps practices, including Docker and cloud-native deployments
- Experience in Linux and Windows environments
Desirable
- Exposure to AWS & Snowflake technologies
- Familiarity with fundamental and weather datasets, as well as market data sources such as EPEX, ENTSO-E, or Nord Pool.
Rewards and Incentives
- Competitive base salaries + bonuses
- Generous benefits program, including parental and family leave policies
- Comprehensive insurance (medical, dental, retirement, life)
- Charity volunteering allowance + charitable contribution match program
- Tuition assistance & reimbursement + continued learning opportunities
Whilst we carefully review all applications, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Senior Front Office Engineer (Short-Term Power Markets) in London employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Front Office Engineer (Short-Term Power Markets) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in energy trading or tech roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to real-time applications or data analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with short-term power trading and relevant technologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Front Office Engineer (Short-Term Power Markets) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of Python experience and any relevant work in short-term power trading. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in software engineering can contribute to our Data Science & Technology team. Keep it engaging and personal!
Showcase Relevant Projects: If you've worked on real-time trading applications or analytics platforms, make sure to mention them. We love seeing practical examples of your work that demonstrate your ability to thrive in fast-paced environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Oxford Knight
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with modern frameworks and APIs. They’ll likely want to hear about specific projects where you’ve built real-time applications, so have some examples ready that showcase your expertise.
✨Understand the Market Landscape
Familiarise yourself with short-term power trading and the specific markets they operate in, like EPEX or Nord Pool. Being able to discuss current trends and challenges in these markets will show that you’re not just a tech whiz but also understand the business side of things.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. They might ask you to solve problems related to data structures or algorithms, so practice coding problems beforehand. Think out loud while solving them to demonstrate your thought process.
✨Highlight Your Teamwork Experience
Since this role involves working closely with the front office, be ready to discuss how you’ve collaborated with other teams in the past. Share examples of how you’ve contributed to cross-functional projects and how you can bridge the gap between technology and trading.
