At a Glance
- Tasks: Design advanced pricing methodologies and analyse complex datasets for financial markets.
- Company: Leading firm in quantitative research with a remote-first culture.
- Benefits: Flexible working arrangements, competitive pay, and professional growth opportunities.
- Other info: Join a dynamic, international team and work on high-impact projects.
- Why this job: Tackle cutting-edge challenges and influence the future of financial ecosystems.
- Qualifications: 5+ years in quantitative research, expert in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
We are currently looking for a Quantitative Researcher in the United Kingdom. In this role, you will shape the foundations of institutional-grade market infrastructure by designing advanced pricing methodologies and quantitative data products used across modern financial markets. You will work at the intersection of quantitative research, financial engineering, and data architecture, helping create transparent and reliable market signals for sophisticated institutional clients. Operating in a fast-paced, remote-first environment, you will collaborate with globally distributed teams across engineering, product, and business functions. This position combines deep technical expertise with strategic client interaction, offering the opportunity to influence how emerging financial ecosystems evolve. You will solve complex market structure challenges, contribute directly to product innovation, and communicate advanced concepts to both technical and executive audiences. The role is ideal for analytical thinkers who thrive in dynamic environments and enjoy building scalable solutions with measurable market impact.
Accountabilities
- Design and develop quantitative methodologies that combine multiple market and reference data sources into robust and defensible pricing and indexing models.
- Analyze complex datasets to identify meaningful market signals, optimize data quality, and support institutional-grade financial infrastructure solutions.
- Build and deploy quantitative systems using Python, SQL, and statistical programming techniques, transitioning research models into scalable production environments.
- Apply expertise in time-series analysis, market microstructure, liquidity measurement, and asset pricing to improve pricing transparency and reliability.
- Act as a subject matter expert for quantitative products, presenting methodologies and technical concepts to institutional clients, exchanges, and executive stakeholders.
- Collaborate with engineering, product, and commercial teams to integrate market feedback into product development and strategic initiatives.
- Support the continuous evolution of market infrastructure by contributing innovative ideas, research, and best practices in quantitative finance and data architecture.
Requirements
- Minimum of 5 years of professional experience in quantitative research, financial engineering, or a related quantitative discipline.
- Expert-level proficiency in Python and SQL, with strong capabilities in statistical analysis and data modeling.
- Deep understanding of market data systems, reference data architecture, and financial asset pricing methodologies.
- Proven experience designing and implementing pricing models, liquidity analysis frameworks, or market impact measurement solutions.
- Strong analytical and problem-solving skills with the ability to work independently and manage complex quantitative challenges with minimal supervision.
- Excellent communication and presentation skills, with the ability to explain sophisticated quantitative concepts clearly to both technical and non-technical audiences.
- Familiarity with institutional financial markets and an understanding of how enterprise clients evaluate market infrastructure solutions.
- Experience within quantitative trading firms, hedge funds, exchanges, market data providers, or decentralized finance ecosystems is considered a strong advantage.
- Exposure to index design, market infrastructure innovation, or next-generation financial systems is highly desirable.
Benefits
- Fully remote-first work environment across Europe with flexible working arrangements.
- Opportunity to work on cutting-edge quantitative challenges within modern financial infrastructure and digital asset markets.
- International and highly collaborative team culture spanning multiple regions and disciplines.
- Exposure to high-impact institutional projects with direct influence on product strategy and market adoption.
- Fast-paced, innovation-driven environment offering strong professional growth opportunities.
- Competitive compensation package aligned with experience and expertise.
- Opportunity to collaborate with top-tier technical, quantitative, and business professionals across the global financial ecosystem.
Quantitative Researcher employer: Jobgether
As a Quantitative Researcher, you will join a forward-thinking company that champions innovation in the financial sector, offering a fully remote-first work environment that promotes flexibility and collaboration across Europe. With a strong emphasis on professional growth, you will engage in high-impact projects that shape market infrastructure while working alongside top-tier professionals in a dynamic and supportive culture. This role not only allows you to tackle complex quantitative challenges but also provides the unique opportunity to influence product strategy and contribute to the evolution of modern financial ecosystems.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance space on LinkedIn or at industry events. Building connections can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, especially those involving Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with market data systems and pricing models, as these are key areas for the role.
✨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 are proactive about their job search.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Researcher role. Highlight your expertise in Python, SQL, and any relevant quantitative methodologies you've worked on. We want to see how you can contribute to our innovative projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your background makes you a perfect fit for our team. Don’t forget to mention any experience with institutional financial markets or market infrastructure.
Showcase Your Analytical Skills:In your application, provide examples of complex datasets you've analysed or pricing models you've developed. We love analytical thinkers, so demonstrate how you've tackled challenges and contributed to product innovation in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our remote-first, collaborative environment!
How to prepare for a job interview at Jobgether
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative research skills, especially in Python and SQL. Be ready to discuss your experience with pricing models and data analysis, as this role demands a deep understanding of market data systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex quantitative challenges you've tackled in the past. Highlight how you approached these problems and the impact your solutions had on previous projects or teams.
✨Communicate Clearly
Since you'll be explaining advanced concepts to both technical and non-technical audiences, practice simplifying complex ideas. Use clear, concise language and be ready to adapt your explanations based on who you're speaking to.
✨Understand the Market Landscape
Familiarise yourself with current trends in institutional financial markets and how enterprise clients evaluate market infrastructure solutions. This knowledge will help you demonstrate your fit for the role and your ability to contribute to product innovation.
