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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 career growth opportunities.
- Why this job: Make a real impact in crypto trading while growing your skills and career.
- Qualifications: 1-2 years of quant research experience and strong Python skills.
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.
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) 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)
✨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 experiences with alpha generation and statistical modelling.
✨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)
Some tips for your application 🫡
Show Your Passion for Quantitative Research: When writing your application, let us see your enthusiasm for quantitative research and model building. Share specific examples of projects or experiences that highlight your skills in alpha generation and statistical modelling.
Highlight Your Python Skills: Since Python expertise is a must-have for this role, make sure to showcase your experience with libraries like NumPy and pandas. Include any relevant projects where you’ve built or tested trading models to demonstrate your technical prowess.
Tailor Your Application to Us: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Researcher role. Mention how your background aligns with our focus on systematic model development and collaborative research workflows.
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 proactive and keen to join our team!
How to prepare for a job interview at Joseph Anthony Group
✨Know Your Quantitative Stuff
Brush up on your quantitative research skills, especially in alpha generation and statistical modelling. Be ready to discuss your past experiences with Python, NumPy, and pandas, as these are crucial for the role.
✨Show Your Passion for Crypto
Even if you don’t have extensive crypto trading experience, demonstrate your understanding of high-level concepts in the digital asset space. Share any personal projects or research you've done related to crypto to show your eagerness to learn.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and knowledge of systematic trading models. Practice explaining your thought process clearly and concisely, as communication is key in a collaborative environment.
✨Collaborative Mindset
Highlight your ability to work in teams and collaborate with senior researchers. Prepare examples of how you've contributed to group projects or how you've iterated on ideas with others, as this role requires a strong team-oriented approach.