At a Glance
- Tasks: Shape pricing tools and market data infrastructure for commodity trading.
- Company: Global commodity trading house with a focus on energy markets.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and technology.
- Why this job: Join a fast-paced team and make an impact in the trading world.
- Qualifications: Experience in commodity trading and strong technical skills in Python and Excel.
The predicted salary is between 150000 - 150000 £ per year.
Our client is a global commodity trading house operating across energy and commodities markets, including power, gas and LNG. They are seeking a Senior Technical Business Analyst to sit at the intersection of front office trading and technology delivery, helping shape the pricing tools, curve analytics and market data infrastructure that underpin trading activity across the business. This is a highly commercial and analytical role focused on forward curve construction, fair value pricing and front office tooling. You will work closely with traders, quants and market risk teams to build and enhance pricing models across power, gas and LNG markets, while also acting as a key bridge into technology and analytics teams. The role requires someone who combines deep commodity market understanding with strong technical capability and the ability to independently deliver solutions in a fast-moving trading environment.
What You’ll Be Doing
- Build, maintain and improve power forward curves and fair value pricing models, incorporating key market drivers including gas prices, carbon costs, generation stack economics, weather and demand dynamics.
- Develop and validate forward curves across gas and LNG markets, including handling illiquid tenors and understanding the interaction between global LNG pricing benchmarks.
- Work directly with traders, quants and market risk teams to capture commercial requirements and translate them into clearly defined technical initiatives.
- Build proof of concepts and analytical tooling in Python and Excel, with the ability to deliver production-ready solutions where appropriate.
- Act as product owner for internal pricing, analytics and visualisation tools, maintaining a prioritised roadmap aligned to front office requirements.
- Support the implementation and enhancement of trading analytics infrastructure, ensuring scalability and alignment with business growth objectives.
- Leverage modern development practices and AI-assisted tooling to improve delivery speed, automation and documentation quality.
- Provide hands-on support for traders using pricing tools, market data feeds and analytical models as part of day-to-day trading operations.
Requirements
- Strong experience within commodity trading environments, with particular expertise across power markets, forward curve construction and fair value pricing methodologies.
- Deep understanding of power market fundamentals, including gas, carbon, renewables, hydro, demand and generation stack dynamics.
- Knowledge of spark spreads, dark spreads and cross-commodity pricing relationships within power generation economics.
- Strong understanding of gas and LNG markets, including global benchmark pricing relationships and curve construction in less liquid markets.
- Excellent technical capability in Python and Excel, including building pricing models, automating processes and constructing analytical tooling independently.
- Experience working closely with front office trading teams and translating commercial workflows into scalable technology solutions.
- Strong understanding of the trade lifecycle and how front office activity impacts downstream risk, P&L and operational processes.
- Ability to operate autonomously within a flat, high-performance trading environment and take ownership of delivery.
Highly Desirable
- Experience working with ETRM systems and understanding trade data flows across trading platforms.
- Exposure to pricing analytics, visualisation platforms or internal front office tooling ownership.
- Experience bridging front office, quantitative and engineering teams within trading organisations.
- Familiarity with AI-assisted development tooling and modern delivery practices.
Senior Tech BA - Commodity Pricing & Curves in London employer: Cititec
As a leading global commodity trading house based in London, we pride ourselves on fostering a dynamic and collaborative work environment that empowers our employees to thrive. With a strong focus on innovation and professional development, we offer competitive salaries, comprehensive benefits, and opportunities for growth within the fast-paced world of energy and commodities trading. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact in shaping the future of trading analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Tech BA - Commodity Pricing & Curves in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the commodity trading scene. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, make sure to highlight your experience with power forward curves and fair value pricing. Bring examples of your work, especially any Python or Excel projects that demonstrate your technical chops. This is your time to shine!
✨Tip Number 3
Tailor your approach! Each company has its own vibe, so do a bit of homework before interviews. Understand their trading strategies and how they use technology. This will help you speak their language and show that you’re not just another candidate, but someone who gets what they’re all about.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves. Plus, it’s a great way to stay updated on new roles that pop up in the commodity trading space.
We think you need these skills to ace Senior Tech BA - Commodity Pricing & Curves in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Tech BA. Highlight your experience in commodity trading, especially in power markets and pricing models. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've successfully built pricing models or worked with traders, quants, and market risk teams.
Show Off Your Technical Skills:Don’t hold back on showcasing your technical capabilities! Mention your proficiency in Python and Excel, and any relevant projects where you’ve developed analytical tools or automated processes. We love seeing hands-on experience!
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 Cititec
✨Know Your Commodity Markets
Make sure you brush up on your knowledge of power, gas, and LNG markets. Understand the fundamentals like forward curve construction and fair value pricing methodologies. Being able to discuss these topics confidently will show that you’re not just technically savvy but also have a strong grasp of the market dynamics.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and Excel. Bring examples of pricing models or analytical tools you've built in the past. If you can talk through your thought process and how you’ve automated processes, it’ll highlight your ability to deliver solutions independently in a fast-paced environment.
✨Bridge the Gap
Since this role involves working closely with traders, quants, and tech teams, be ready to discuss how you’ve successfully translated commercial requirements into technical initiatives before. Share specific examples where you acted as a bridge between different teams and how that improved outcomes.
✨Be Ready for Real-World Scenarios
Expect scenario-based questions that test your problem-solving skills in trading environments. Think about challenges you’ve faced in previous roles and how you overcame them. This will demonstrate your ability to operate autonomously and take ownership of delivery in a high-performance setting.
