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- Tasks: Conduct quantitative research and develop systematic trading models using Python.
- 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 ownership and growth opportunities.
- Why this job: Make a real impact in crypto trading while developing your skills in a collaborative environment.
- 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 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 London
✨Tip Number 1
Network like a pro! Reach out to professionals in the crypto and quant 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 how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your past experiences. Practice explaining your thought process when building models or conducting research—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate candidates who are eager to dive into the world of quantitative research. Your next big opportunity could be just a click away!
We think you need these skills to ace Quantitative Researcher (Crypto) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative research experience and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or internships!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about crypto and quantitative research. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Technical Skills: Since we’re all about rigorous quantitative research, make sure to mention any specific tools or methodologies you’ve used in your previous work. Highlight your experience with statistical modelling and signal generation to catch our eye!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Joseph Anthony Group
✨Know Your Quant Skills
Brush up on your quantitative research skills, especially in alpha generation and statistical modelling. Be ready to discuss specific projects where you've applied Python for model building, as this will show your hands-on experience.
✨Understand the Crypto Landscape
Even if you don't have direct crypto trading experience, make sure you understand the basics of digital assets and current market trends. This will demonstrate your eagerness to learn and adapt, which is crucial in a fast-paced environment.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of Python libraries like NumPy and pandas. Practise coding problems or case studies related to signal discovery and model evaluation to showcase your problem-solving skills.
✨Show Collaborative Spirit
Since the role involves working closely with senior researchers, be prepared to discuss how you've collaborated in past projects. Highlight your ability to iterate on ideas and contribute to team discussions, as this will align with their collaborative culture.