Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto and quant research space on LinkedIn or at industry events. A friendly chat can lead to 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. 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 knowledge of alpha generation and statistical modelling. Be ready to discuss your thought process and how you approach problem-solving in quant research.
✨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 (Crypto) in Slough
Some tips for your application 🫡
Show Your Quant Skills: Make sure to highlight your quantitative research experience and any relevant projects you've worked on. We want to see your Python expertise in action, so don’t hold back on showcasing your skills with NumPy and pandas!
Tailor Your Application: Take a moment to customise your application for the Quantitative Researcher role. Mention specific experiences that relate to alpha generation and statistical modelling. This shows us you’re genuinely interested in the position and understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role, and make sure your passion for crypto shines through!
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 us and what we do!
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 and how you've used it for model building or signal discovery.
✨Show Your Passion for Crypto
Even if you don't have extensive crypto trading experience, demonstrate your understanding of the high-level concepts. Share any personal projects or research you've done related to digital assets to show your eagerness to learn.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of statistical models and data analysis. Practice explaining your thought process clearly and concisely, as this will showcase your problem-solving skills and ability to communicate complex ideas.
✨Collaborative Mindset is Key
Since the role involves working closely with senior researchers, highlight your teamwork experiences. Discuss how you've collaborated on projects in the past and be prepared to share ideas on how you can contribute to a collaborative research environment.