Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Conduct quantitative research and develop trading models in a dynamic crypto environment.
- Company: Specialised digital asset trading firm with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, healthcare, and retirement plans.
- Other info: Fully remote role with significant growth opportunities and collaborative culture.
- Why this job: Make a real impact by originating alpha signals and driving strategy development.
- Qualifications: 1-2 years of quant research experience and strong Python skills required.
The predicted salary is between 70000 - 95000 £ per year.
A specialized digital asset trading firm is seeking a Quantitative Researcher to support alpha research and systematic model development within a multi-strategy digital asset environment. The team focuses on rigorous quantitative research, robust statistical modeling, and thoughtful construction of orthogonal trading strategies. Ideal candidates are early-career, highly technical, and motivated by hands-on model building, signal discovery, and collaborative research workflows.
This is a remote (UK-time zone) role with meaningful ownership from day one. You will independently originate and refine alpha signals, contribute directly to portfolio construction, and work closely with the firm’s Head of Trading in a highly collaborative environment. As you grow, you’ll have the opportunity to take on increased responsibility, including the ability to launch your own trades and drive strategy development end-to-end.
Role & Responsibilities:
- Conduct quantitative research focused on alpha generation, signal development, and statistical modeling.
- Build, test, and refine systematic trading models using Python.
- Analyze multi-asset market data to identify inefficiencies, anomalies, and predictive patterns.
- Support the creation and enhancement of research pipelines, backtesting frameworks, and model evaluation tools.
- Collaborate with senior researchers to iterate on strategy design, model parameters, and portfolio construction.
- Contribute ideas to an evolving set of orthogonal strategies designed to perform across diverse market conditions.
Requirements:
- 1–2+ years of quant research experience, or 1 year + strong internship experience, ideally within buyside trading or traditional finance research environments.
- Strong background in alpha research, signal generation, and statistical modeling.
- Python expertise is required (NumPy, pandas, etc.).
- STEM academic background (math, physics, engineering, CS, or related).
- Crypto trading exposure is a plus but not required—must understand high-level concepts and be eager to learn.
Compensation & Benefits:
- Competitive base salary ($70,000 to $95,000) and a trading-aligned performance bonus. Total compensation for strong performers typically ranges from $150,000 to $200,000+.
- Comprehensive benefits including healthcare, retirement plans, and long-term incentives.
- Significant opportunity to originate and refine your own alpha signals, contributing directly to portfolio build-out and performance.
Quantitative Researcher (Crypto) in City of London employer: Joseph Anthony Group
Contact Detail:
Joseph Anthony Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher (Crypto) in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the crypto and quantitative research space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your enthusiasm for the field.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, especially those involving Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in joining our team.
We think you need these skills to ace Quantitative Researcher (Crypto) in City of London
Some tips for your application 🫡
Show Your Passion for Quantitative Research: When writing your application, let your enthusiasm for quantitative research shine through. Share specific examples of projects or experiences that highlight your skills in alpha generation and statistical modelling. We want to see your motivation and how you can contribute to our collaborative environment!
Highlight Your Python Skills: Since Python expertise is a must-have for this role, make sure to showcase your experience with it in your application. Mention any relevant libraries like NumPy or pandas that you've used in your projects. We love seeing candidates who can hit the ground running with their coding skills!
Tailor Your Application to Us: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our specific job description. Highlight your relevant experience in quant research and how it aligns with what we’re looking for. This shows us you’re genuinely interested in joining our team at StudySmarter.
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 gives you a chance to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at Joseph Anthony Group
✨Know Your Quant Skills
Make sure you brush up on your quantitative research skills, especially in alpha generation and statistical modelling. Be ready to discuss specific projects where you've built or refined models using Python, as this will show your hands-on experience.
✨Understand the Crypto Landscape
Even if you don't have extensive crypto trading experience, it's crucial to understand the basics of digital assets. Familiarise yourself with key concepts and current trends in the crypto market, so you can engage in meaningful discussions during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of Python libraries like NumPy and pandas. Practice coding problems or model-building scenarios that could come up, as demonstrating your technical prowess will be key to impressing the interviewers.
✨Show Collaborative Spirit
This role emphasises collaboration, so be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you've iterated on strategies or contributed to group projects, as this will align with the firm's collaborative culture.