At a Glance
- Tasks: Build analytics and prototypes using large-scale market data while collaborating with teams.
- Company: Ocean Red, a forward-thinking firm focused on research and product development.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Engaging role with diverse audiences and dynamic team collaboration.
- Why this job: Make an impact by translating quantitative insights into client-ready solutions.
- Qualifications: Five years of Python experience with futures/options order book data required.
The predicted salary is between 60000 - 80000 £ per year.
Ocean Red is seeking a Quantitative Analyst to work across research, product development and client interaction in a hybrid London-based role.
You will build analytics and prototypes using large-scale historical market data, and collaborate with product and commercial teams to translate quantitative insights into client-ready solutions.
We value five years of Python-driven experience with futures/options order book data and the ability to explain complex concepts to diverse audiences.
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Senior Quantitative Analyst: Model Insight & Product Strategy in 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.
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We think this is how you could land Senior Quantitative Analyst: Model Insight & Product Strategy in London
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We think you need these skills to ace Senior Quantitative Analyst: Model Insight & Product Strategy in London
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
