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- Tasks: Ensure reliable market data feed consumption and distribution in a dynamic trading environment.
- Company: Join a leading energy trading firm with a strong reputation.
- Benefits: Base salary of £150K+, total compensation exceeding £250K, and hybrid working.
- Why this job: Make an impact in the financial sector while working with cutting-edge technology.
- Qualifications: 8+ years of Python development and experience in market data processing.
- Other info: Equal opportunities employer, welcoming diverse applications.
The predicted salary is between 90000 - 210000 £ per year.
We are partnered with one of our Leading Energy Trading clients who are looking for a Senior/Lead Market Data Developer to join their team.
Responsibilities
- Ensure reliable and accurate market data feed consumption and distribution.
Qualifications
- 8+ years Python Development experience
- In-depth understanding of market data onboarding and processing, web scraping, and API tooling
- Experience working in a Financial or commodity trading environment
- Ideally some experience with Zema
Offer
- Base salaries at £150K + with total compensation exceeding £250K
- Hybrid working in central London
- Chance to work within an established commodity trading firm
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Oil and Gas, Services for Renewable Energy, and Financial Services
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Market Data Specialist employer: RJC Group
Contact Detail:
RJC Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy trading sector and let them know you're on the hunt for a Market Data Specialist role. 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! Prepare a portfolio or a GitHub repository showcasing your Python projects, especially those related to market data onboarding and processing. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Market Data Specialists and practice your responses. Be ready to discuss your experience with web scraping and API tooling, as well as any relevant projects you've worked on.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Market Data Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of Python development experience and any relevant market data onboarding skills. We want to see how your background fits 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 the perfect fit for the Market Data Specialist role. Mention your experience in financial or commodity trading environments and how you can contribute to our team.
Showcase Relevant Skills: Don’t forget to mention your expertise in web scraping and API tooling. If you have experience with KDB/Zema, make sure to highlight that too! We love seeing candidates who can bring additional skills to the table.
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 the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at RJC Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially as they relate to market data processing. Be ready to discuss specific projects where you've used Python to solve problems or improve processes in a trading environment.
✨Understand Market Data Fundamentals
Familiarise yourself with the ins and outs of market data onboarding and processing. Be prepared to explain how you've handled data feeds in the past and any challenges you've faced, particularly in a financial or commodity trading context.
✨Showcase Your API Skills
Since API tooling is crucial for this role, think of examples where you've successfully implemented or worked with APIs. Be ready to discuss the technical details and how they contributed to efficient data distribution.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving abilities. Think about potential issues that could arise in market data consumption and how you would address them, drawing from your experience in similar situations.