At a Glance
- Tasks: Enhance market data usage with AI and improve workflows in a dynamic trading environment.
- Company: Top global prop trading firm focused on innovation and collaboration.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
- Other info: Join a high-performing team and shape the future of data in trading.
- Why this job: Make a real impact by optimising data for trading and quant teams.
- Qualifications: 2-6 years in data engineering, strong Python and SQL skills, and AI exposure.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a top global prop trading firm who are looking to hire a hands-on data profile to sit within the Market Data team, focused on improving how market and alternative data is structured, accessed, and used across quant and trading workflows. This role combines data engineering, data management, and applied AI. You will work closely with the Head of Market Data, who owns vendor relationships, sourcing, and commercial agreements across systematic, discretionary, and market-making businesses. This role complements that function by improving how data is actually utilized — building tooling, structure, and visibility around datasets, with a particular focus on applying AI to enhance workflows and decision-making.
Responsibilities
- Build and maintain a data inventory / catalogue across market, fundamental, and alternative datasets
- Standardise and integrate datasets across systems in partnership with data engineering teams
- Improve data quality, accessibility, and consistency for quant and trading use cases
- Automate workflows across market data onboarding, processing, and delivery
- Track dataset usage and help measure value / impact across trading teams
- Support data cost transparency and allocation across desks
- Apply AI / LLM tooling to data discovery, tagging, and workflow optimisation
- Work closely with quants, traders, engineering, and market data / procurement teams
Requirements
- 2-6 years’ experience in data engineering, data platform, or market data / data management
- Strong Python and SQL; experience working with APIs and data pipelines
- Exposure to LLMs / AI tooling in a practical setting (not research-focused)
- Understanding of how data is used within trading or quantitative environments
- Strong operational mindset – able to improve processes in a lean, fast-moving environment
Profile
- Hands-on, pragmatic, and commercially aware
- Comfortable working across technical, front office, and business teams
- Motivated by improving how data is used rather than just building infrastructure
This is quite a rare opportunity to have a great impact across a high performing business. If you feel it is a good fit, apply today!
Market Data (Data & AI) | Prop Trading Firm employer: Selby Jennings
Join a leading global prop trading firm that values innovation and collaboration, offering a dynamic work environment where your contributions directly impact trading workflows. With a strong focus on employee growth, you will have access to cutting-edge AI tools and the opportunity to work alongside industry experts, fostering a culture of continuous learning and improvement. Located in a vibrant financial hub, this role not only provides competitive benefits but also positions you at the forefront of market data utilisation in a fast-paced, rewarding setting.
StudySmarter Expert Advice🤫
We think this is how you could land Market Data (Data & AI) | Prop Trading Firm
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at prop trading firms. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python, SQL, or AI tooling, make sure to highlight that in conversations. Consider creating a portfolio or GitHub repository showcasing your projects to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of market data and trading workflows. Be ready to discuss how you've improved data processes in the past and how you can bring that operational mindset to their team.
✨Tip Number 4
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 apply directly!
We think you need these skills to ace Market Data (Data & AI) | Prop Trading Firm
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience in data engineering and management, especially any hands-on work with Python, SQL, and AI tooling. 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 passionate about improving data usage in trading environments. Share specific examples of how you've made an impact in previous roles, and let us know why you want to join our team.
Showcase Relevant Projects:If you've worked on projects that involved data cataloguing, automation, or AI applications, make sure to include them. We love seeing practical examples of your work, so don’t hold back on sharing your successes and learnings!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity. Plus, it shows you're keen to join us at StudySmarter!
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 data is structured, accessed, and used in trading workflows. Being able to discuss specific datasets and their applications will show your hands-on experience and understanding.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. Have examples ready that highlight your experience with APIs and data pipelines. If you've worked with AI tooling or LLMs, be ready to discuss how you've applied these in practical settings, not just theoretical ones.
✨Understand the Business Impact
Be prepared to talk about how data quality and accessibility can impact trading decisions. Think about ways you’ve improved processes in previous roles and how those improvements led to measurable outcomes. This shows you’re not just about building infrastructure but also about enhancing business performance.
✨Collaborative Mindset is Key
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Share examples of how you’ve successfully partnered with quants, traders, or engineering teams to improve data usage. This will demonstrate your ability to thrive in a fast-moving environment.
