At a Glance
- Tasks: Analyse market data and develop innovative solutions for real trading challenges.
- Company: Leading financial market data and analytics firm with a collaborative environment.
- Benefits: Competitive salary, bonuses, private medical, 25 days holiday, and funded training.
- Other info: Hybrid work model with opportunities for professional growth and team engagement.
- Why this job: Make a tangible impact on product development and client success in a dynamic role.
- Qualifications: Five years' experience as a Quantitative Analyst with Python expertise.
The predicted salary is between 60000 - 75000 £ per year.
Company | Financial Market Data & Analytics
Impact | Market microstructure, Quantitative research, Client-facing product innovation
You’ll use | Python, Market Data, Quantitative Research
Hybrid | 2 days a week in the office
Offer | Competitive salary + bonus
Benefits | Private medical, 25 days holiday, pension, overseas remote working, annual wellbeing budget, funded training, weekly team lunches and regular socials.
If you’ve spent the last few years working with exchange data, futures or options order books, you’ll know there’s a huge difference between producing a model and explaining what it means to traders, product teams and clients.
You’ll join a specialist product group where your analysis doesn’t disappear into a research notebook. It influences product direction, helps customers solve real trading problems and gives commercial teams evidence they can actually use.
You’ll get access to one of the largest market data environments in the industry, giving you the freedom to explore questions that simply aren’t possible with smaller datasets.
You’ll work directly with experienced product leaders, data scientists and commercial teams, giving you far more exposure than a traditional quant research position. If you enjoy presenting your work, discussing market structure with sophisticated clients and helping shape future products, you’ll have plenty of opportunities to do all three.
- Build research, analytics and prototypes using large-scale historical order book data.
- Work with product and commercial teams to demonstrate how quantitative insights solve real customer problems.
- Help shape future product development by turning client feedback into new ideas and analytical capabilities.
This isn’t a pure research desk or a purely commercial position. It’s a blend of quantitative finance, data science and product strategy.
Requirements:
- Around five years’ experience as a Quantitative Analyst using Python for statistical analysis and large datasets.
- Strong knowledge of futures and/or options order book data, together with broader exposure across financial markets.
- The ability to explain complex quantitative concepts clearly to both technical and commercial audiences.
- Experience with SQL, cloud platforms or additional programming languages would be useful, but they aren’t essential.
Senior Analyst, Research (Maternity Cover) in City of London employer: Ocean Red
As a Senior Analyst at our company, you'll thrive in a dynamic and collaborative environment that values innovation and employee growth. With competitive salaries, comprehensive benefits including private medical care and an annual wellbeing budget, and the opportunity to work with one of the largest market data environments in the industry, we empower our employees to make a real impact on product development and client solutions. Join us for a rewarding career where your insights shape the future of financial analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst, Research (Maternity Cover) in City of 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 Ocean Red 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 Ocean Red.
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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 Ocean Red.
We think you need these skills to ace Senior Analyst, Research (Maternity Cover) in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Ocean Red, 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 Ocean Red, 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 Ocean Red’s attention and show the tangible impact of your work.
How to prepare for a job interview at Ocean Red
✨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 Ocean Red.
✨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 Ocean Red.
✨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 Ocean Red.
