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 - 60000 £ 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, and 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 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. With a strong emphasis on professional development, we offer numerous growth opportunities and encourage collaboration among our talented teams. Located in a vibrant area, our company provides a stimulating environment where creativity and cutting-edge technology thrive, making it an excellent place for data professionals looking to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data Engineer: AI-Driven Quant Workflow Optimizer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This gives potential employers a taste of what you can do, especially in AI-driven workflows.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising with friends or using mock interview platforms to build confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Market Data Engineer: AI-Driven Quant Workflow Optimizer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and management. We want to see your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Market Data Engineer role. Share your passion for enhancing data workflows and any experience with AI tooling that sets you apart.
Showcase Your Impact:When detailing your past roles, focus on the impact you made. We love to see how you’ve improved data usage or optimised workflows in previous positions—numbers and results speak volumes!
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 this exciting opportunity to join our Market Data team!
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 your experience with specific datasets or workflows.
✨Showcase 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 past projects, so have some examples ready that highlight your technical expertise.
✨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.
✨Express Your Motivation for Data Improvement
This position is all about enhancing data usage, so convey your passion for improving data workflows. Share specific instances where you’ve made a significant impact in your previous roles, and how that aligns with the goals of the Market Data team.
