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- Tasks: Conduct quantitative research and develop trading models in a dynamic digital asset environment.
- Company: Specialised digital asset trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, performance bonuses, comprehensive benefits, and remote work flexibility.
- Other info: Exciting opportunity for career growth and ownership in a fast-paced industry.
- Why this job: Make a real impact by originating alpha signals and driving strategy development from day one.
- 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 - Energy Trading 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 - Energy Trading in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy trading and quantitative research space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your enthusiasm.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding statistical modelling concepts. Be ready to discuss your past projects and how they relate to alpha generation and signal discovery.
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a friendly email expressing your excitement about the role. It shows initiative and can help you stand out.
✨Tip Number 4
Stay updated on market trends and crypto developments. Being knowledgeable about current events can give you an edge in interviews and demonstrate your passion for the field.
We think you need these skills to ace Quantitative Researcher - Energy Trading in City of 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 energy trading and how your skills can contribute to our team. Keep it concise but impactful—let us know what makes you tick!
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. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 applied these skills, particularly using Python. This will show that you're not just familiar with the concepts but have practical experience.
✨Show Your Passion for Crypto
Even if you don't have extensive experience in crypto trading, demonstrate your eagerness to learn about it. Familiarise yourself with high-level concepts and current trends in the digital asset space. This enthusiasm can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to model building and data analysis. Practice explaining your thought process when developing models or analysing market data. Being able to articulate your approach clearly will impress the interviewers.
✨Collaborative Mindset
Since the role involves working closely with senior researchers, highlight your collaborative experiences. Share examples of how you've worked in teams to iterate on strategies or solve complex problems. This will show that you’re a team player who thrives in a collaborative environment.