At a Glance
- Tasks: Analyse equity trading data and automate client reports using Python and SQL.
- Company: Liquidnet, a tech-driven agency execution specialist in London.
- Benefits: Gain valuable experience in a dynamic environment with potential for career growth.
- Why this job: Make an impact on trading strategies while working with cutting-edge analytics tools.
- Qualifications: Experience in data analysis and familiarity with Python, SQL, and data visualisation tools.
The predicted salary is between 31500 - 38500 £ per year.
Liquidnet, a technology-driven agency execution specialist in London, is seeking an Electronic Trading Execution Analyst on a 12-month fixed-term contract.
You will support equity trading desks across the EMEA region by creating incisive analysis of product usage and market structure.
You will automate client reports and help design analytics platforms, contributing to sales campaigns with dashboards built in Python, SQL, Pandas, Dash and Power BI.
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Equities Execution Data & Insights Analyst in London employer: Liquidnet
Liquidnet is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a supportive environment that encourages growth within the electronic trading sector. With a focus on enhancing client relationships and driving revenue, Liquidnet provides a meaningful and rewarding career path for those passionate about trading and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Equities Execution Data & Insights Analyst in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Liquidnet before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Liquidnet.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Liquidnet.
We think you need these skills to ace Equities Execution Data & Insights Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Liquidnet, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Liquidnet, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Liquidnet’s attention and show the tangible impact of your work.
How to prepare for a job interview at Liquidnet
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Liquidnet.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Liquidnet.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Liquidnet.
