At a Glance
- Tasks: Conduct quantitative research and develop innovative products that solve real trading problems.
- Company: Dynamic financial analytics firm with a collaborative and innovative culture.
- Benefits: Competitive salary, bonuses, private medical, 25 days holiday, and funded training.
- Other info: Hybrid work model with excellent career growth and exposure to industry leaders.
- Why this job: Make a real impact by shaping future products and engaging with sophisticated clients.
- Qualifications: Five years' experience in quantitative analysis using Python and strong market knowledge.
The predicted salary is between 80000 - 98000 £ per year.
Overview
Company: Financial Market Data & Analytics
Impact: Market microstructure, Quantitative research, Client-facing product innovation
Size: Around 100 people
You’ll use: Python, Market Data, Quantitative Research
Location: London
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.
Your research shouldn’t end when the model works. The interesting part starts when you ask why. 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. That’s exactly what you’ll do here. 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.
What you’ll be doing
- 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.
What you’ll need
- 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.
Interview Process: CV Review → Introductory Call → Technical Interviews → Final Interview → Offer
If you’d like to find out more, apply today for a confidential conversation. We’ll share the full brief, explain the business in detail and answer any questions before your profile is introduced.
Senior Quantitative Analyst in London employer: Ocean Red
As a Senior Quantitative Analyst at our London-based firm, you'll thrive in a dynamic work culture that values innovation and collaboration. With access to one of the largest market data environments in the industry, you will have the opportunity to influence product direction and engage directly with clients, all while enjoying competitive benefits such as private medical insurance, generous holiday allowance, and funded training. Join us for a rewarding career where your insights drive real-world solutions and your professional growth is supported through regular team interactions and social events.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Analyst in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Ocean Red. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Senior Quantitative Analyst in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Ocean Red.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Ocean Red's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Ocean Red
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Ocean Red.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Ocean Red will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Ocean Red employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
