At a Glance
- Tasks: Research and design alpha signals for cash equities strategies in a collaborative team.
- Company: High-performing, research-led equities stat arb team based in London.
- Benefits: Visa sponsorship available, strong engineering support, and real ownership of projects.
- Other info: Exciting opportunity for mid to senior-level researchers looking for visible impact.
- Why this job: Join a lean team where your work directly impacts performance and strategy.
- Qualifications: 5-15 years in systematic equity research with strong programming skills in Python.
The predicted salary is between 80000 - 100000 £ per year.
A high-performing, research-led, collaborative, equities stat arb team in London is hiring a Quant Researcher to become the number 2 and drive alpha and signal generation. This is a rare chance to join a lean pod where researchers have real ownership, strong engineering support around them, and a clear mandate across cash equities.
Scope
- Research, design, and validate alpha signals for cash equities stat arb strategies
- Build robust feature sets from market, fundamental, and alternative datasets
- Run disciplined backtesting and statistical validation to avoid overfitting
- Translate research into production-ready signals in collaboration with engineering
- Monitor live performance and iterate on signals as market regimes shift
- Contribute to idea generation and the team’s evolving research framework
Ideal profile
- 5-15 years of experience in systematic equity research
- Strong statistical intuition and a rigorous research process (hypothesis, testing, validation)
- Solid programming skills (Python required; familiarity with research-to-production workflows is a plus)
- Experience working with equities data and market microstructure awareness preferred
- Candidates from prop trading environments are interesting, but top long-only / fundamental researchers with a systematic mindset are also of interest
- Comfort working in a small, high-accountability team where your work has visible impact
Nice to have
- Single-stock research exposure with a clear, testable signal mindset
- Experience with factor research, statistical arbitrage, or systematic equities strategies
- Familiarity with portfolio construction concepts and risk-aware signal development
Logistics
- London-based role, on-site
- No remote / overseas-based working
- Hiring timeline: next 1 to 2 months
If you’re a mid to senior-level researcher who wants genuine signal ownership and a direct line between your work and PnL, this is the kind of seat that doesn’t come up often.
Quant Researcher - No.2 for a Collaborative Cash Equities Team with upside - daily to monthly h[...] employer: J K Barnes
Join a high-performing, research-led team in London where you will have the opportunity to take ownership of your work and drive alpha generation in a collaborative environment. With strong engineering support and a clear mandate across cash equities, this role offers not only competitive compensation but also a culture that values innovation and personal growth, making it an excellent place for mid to senior-level researchers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Researcher - No.2 for a Collaborative Cash Equities Team with upside - daily to monthly h[...]
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves programming and statistical analysis, make sure you can confidently discuss your experience with Python and systematic research methods.
✨Tip Number 3
Showcase your passion for equities stat arb! Be ready to discuss your previous projects and how they relate to alpha signal generation. This will demonstrate your genuine interest and expertise in the field.
✨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, it shows you’re serious about joining the team.
We think you need these skills to ace Quant Researcher - No.2 for a Collaborative Cash Equities Team with upside - daily to monthly h[...]
Some tips for your application 🫡
Show Your Passion for Research:When writing your application, let us see your enthusiasm for quantitative research. Share specific examples of your past work that highlight your statistical intuition and rigorous research process. We want to know what drives you!
Tailor Your Application:Make sure to customise your CV and cover letter to align with the job description. Highlight your experience in systematic equity research and any relevant programming skills, especially in Python. This helps us see how you fit into our collaborative team.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and skills. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at J K Barnes
✨Know Your Signals
Make sure you can discuss your previous work on alpha signals in detail. Be prepared to explain your research process, how you validated your findings, and the impact of your signals on performance. This shows you have a solid grasp of the role's requirements.
✨Brush Up on Your Programming Skills
Since Python is a must-have for this position, ensure you're comfortable discussing your coding experience. Bring examples of how you've used Python in your research or backtesting processes. It’s a great way to demonstrate your technical prowess.
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts as they relate to equities. Being able to discuss how these concepts influence your research and signal generation will set you apart from other candidates.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be ready to share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you contributed to idea generation or worked closely with engineering teams to translate research into production-ready signals.
