At a Glance
- Tasks: Enhance market data structuring and access for trading workflows.
- Company: Join Selby Jennings, a leader in market data solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Dynamic team environment focused on innovation and improvement.
- Why this job: Make a significant impact in a high-performing business with AI-driven projects.
- Qualifications: 2-6 years in data engineering, strong Python and SQL skills.
The predicted salary is between 50000 - 65000 £ per year.
Selby Jennings is seeking a hands-on data professional to join their Market Data team. This role focuses on enhancing how market and alternative data is structured and accessed across trading workflows.
Candidates should have:
- 2-6 years of experience in data engineering or management
- Strong skills in Python and SQL
- Exposure to AI tooling
This opportunity allows for significant impact across a high performing business. Apply today if you're motivated by improving data usage!
Market Data Engineer: AI-Driven Quant Workflow Optimizer in London employer: Selby Jennings
At Selby Jennings, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to make a meaningful impact in the financial sector. Located in a vibrant city, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where your contributions are valued and recognised. Join us to be part of a forward-thinking team that is at the forefront of optimising market data workflows with cutting-edge AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Engineer: AI-Driven Quant Workflow Optimizer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Selby Jennings. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your Python and SQL expertise. If you’ve worked with AI tools, make sure to showcase that too. It’s all about proving you can enhance data workflows!
✨Tip Number 3
Ace the interview! Research common questions for data engineering roles and practice your answers. Be ready to discuss how you can improve data usage and structure, as that’s what this role is all about.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Market Data Engineer: AI-Driven Quant Workflow Optimizer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and your skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Market Data Engineer role and how you can contribute to optimising trading workflows. Let us know what motivates you about improving data usage!
Showcase Your AI Exposure:Since this role involves AI tooling, make sure to mention any relevant experience you have with AI technologies. We’re keen to see how you can leverage these tools to enhance market data access and structure.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of market and alternative data relevant to the role. Brush up on how this data is structured and accessed, as you might be asked to discuss specific examples from your past experience.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You could be asked to solve a problem or explain how you've used these languages in previous projects, so have some examples ready that highlight your technical skills.
✨Familiarise Yourself with AI Tooling
Since the role involves AI-driven workflows, it’s crucial to understand the AI tools you’ve worked with. Be ready to discuss how you’ve leveraged AI to optimise data processes and what impact it had on your previous projects.
✨Emphasise Your Impact
This position allows for significant impact, so think about how you can convey your contributions in past roles. Prepare to share specific instances where your work improved data usage or trading workflows, showcasing your ability to drive results.
