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For Companies At a Glance
- Tasks: Design and maintain high-performance data systems for market data management.
- Company: Join a cutting-edge algorithmic trading firm focused on innovation and technical excellence.
- Benefits: Enjoy a competitive salary and the flexibility of fully remote work.
- Why this job: Be part of a dynamic team that impacts trading strategies and data integrity.
- Qualifications: Experience in financial markets, strong Python skills, and SQL proficiency required.
- Other info: Collaborate with researchers and traders to optimise data retrieval systems.
The predicted salary is between 72000 - 96000 £ per year.
A proprietary algorithmic trading firm who manage the entire trading cycle from software development to strategy creation and algorithm coding are on the lookout for a Senior Market Data Engineer to join their team.
What will the role be doing?
- Design, develop, and maintain high-performance data storage systems for capturing and managing large volumes of historical market data from multiple exchanges, brokers, and vendors with robust validation, cleansing, and normalisation processes.
- Build internal tools and integrations that provide research teams with easy access to historical data while collaborating with quantitative researchers and traders to optimise data retrieval systems for backtesting and strategy development.
- Develop scalable, cost-efficient solutions with sophisticated versioning and reconciliation capabilities that ensure regulatory compliance, data integrity, and efficient querying for growing data volumes.
What are we looking for:
- Commercial experience with financial instruments and markets (equities, futures, options, forex) and understanding of historical data usage in algorithmic trading.
- Familiarity with market data formats (MDP, ITCH, FIX, SWIFT, proprietary exchange APIs) and market data providers.
- Strong programming skills in Python (Go/Rust is a nice to have).
- Experience with ETL processes and data pipeline architecture for cleaning, normalising, and validating large datasets.
- Commercial experience building and maintaining large-scale time series or historical market data systems in financial services.
- Strong SQL proficiency.
- Excellent problem-solving skills and attention to detail for ensuring data quality and reliability.
What's in it for me:
- Competitive salary of $100,000-$120,000.
- Fully remote position - work from anywhere.
- Be part of an innovative proprietary trading firm that values technical excellence.
Senior Market Data Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Market Data Engineer
✨Tip Number 1
Familiarise yourself with the specific market data formats mentioned in the job description, such as MDP, ITCH, and FIX. Understanding these formats will not only help you during interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the algorithmic trading space. Join relevant online forums or LinkedIn groups where you can engage with others in the industry. This can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Brush up on your Python programming skills, especially focusing on data manipulation and ETL processes. Consider working on personal projects that involve building data pipelines or historical data systems to showcase your practical experience.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. Think of specific examples where you've ensured data quality and reliability in past roles, as this will be crucial in demonstrating your fit for the Senior Market Data Engineer position.
We think you need these skills to ace Senior Market Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in financial instruments and markets, particularly in algorithmic trading. Emphasise your programming skills in Python and any familiarity with market data formats.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Senior Market Data Engineer position. Discuss your experience with ETL processes and how you've built or maintained large-scale time series systems in the past.
Showcase Problem-Solving Skills: Provide specific examples in your application that demonstrate your problem-solving abilities and attention to detail. This could include challenges you've faced in data quality and how you resolved them.
Highlight Collaboration Experience: Mention any previous experiences where you collaborated with quantitative researchers or traders. This will show your ability to work in a team and optimise data retrieval systems effectively.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially in Python. Highlight any projects where you've built or maintained data systems, and be ready to explain your approach to ETL processes and data pipeline architecture.
✨Demonstrate Market Knowledge
Familiarise yourself with financial instruments and market data formats relevant to algorithmic trading. Be ready to discuss how historical data is used in trading strategies and how you can contribute to optimising data retrieval systems.
✨Problem-Solving Scenarios
Expect to face technical problem-solving questions during the interview. Prepare examples of challenges you've encountered in previous roles, particularly related to data quality and reliability, and how you resolved them.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data systems and their approach to regulatory compliance and data integrity. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
