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, 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 employer: Cititec
Our client is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets commodity trading. With a strong focus on employee growth and development, they provide opportunities to work closely with industry experts while leveraging cutting-edge technology to enhance trading strategies. The collaborative culture fosters creativity and encourages employees to take ownership of their projects, making it a rewarding place for those looking to make a significant impact in the commodity markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Tech BA - Commodity Pricing & Curves
✨Network Like a Pro
Get out there and connect with people in the commodity trading space! Attend industry events, join relevant online forums, and don’t be shy about reaching out to professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your technical skills in Python and Excel. Share examples of how you've built pricing models or improved trading tools. We want to see your passion for the role and how you can bring value to their team!
✨Prepare for the Interview
Do your homework before the interview! Understand the company’s trading strategies and the specific challenges they face in the commodity markets. We recommend preparing some insightful questions that show you’re genuinely interested in how you can contribute to their success.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you one step closer to that Senior Tech BA role!
We think you need these skills to ace Senior Tech BA - Commodity Pricing & Curves
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 around 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 built and improved pricing models or worked with traders. Let us know what excites you about this opportunity!
Showcase Your Technical Skills:Since this role requires strong technical capabilities, make sure to highlight your proficiency in Python and Excel. If you’ve built any analytical tools or automated processes, give us the details. We love seeing practical examples of your work!
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. Plus, it’s super easy!
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 spark spreads and dark spreads, as well as how global pricing benchmarks interact. This will help you speak confidently about market dynamics during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Excel in detail. Bring examples of pricing models or analytical tools you've built, and be ready to explain how they contributed to trading operations. Demonstrating your technical capability will set you apart.
✨Bridge the Gap
Highlight your ability to work closely with traders, quants, and technology teams. Share specific examples of how you've translated commercial requirements into technical solutions. This shows that you can effectively communicate across different teams, which is crucial for this role.
✨Prepare for Real-World Scenarios
Think about potential challenges you might face in the role, such as handling illiquid tenors or implementing trading analytics infrastructure. Be ready to discuss how you would approach these situations, showcasing your problem-solving skills and ability to operate autonomously.
