At a Glance
- Tasks: Design and develop trading strategies in the exciting world of crypto assets.
- Company: Join Fasanara Digital, a leading quantitative investment fund in the crypto space.
- Benefits: Enjoy competitive bonuses, health perks, generous leave, and fun team events.
- Other info: Be part of a dynamic team with excellent growth opportunities and no bureaucracy.
- Why this job: Make a real impact in a collaborative, entrepreneurial environment focused on excellence.
- Qualifications: 2+ years in quantitative finance, advanced degree, and strong Python/SQL skills.
The predicted salary is between 36000 - 60000 £ per year.
Fasanara Digital was established 7 years ago and is the crypto arm of Fasanara Capital, a 14‑year‑old boutique alternative asset manager. We are a Quantitative Investment fund applying a scientific approach to investing in crypto assets. Our goal is to achieve exceptional risk‑adjusted returns. We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from inefficiencies in the market structure and range from market making to cross‑exchange arbitrage.
Our Culture
We are strong believers in meritocracy, and we reward people based on impact and excellence. There is no bureaucracy of large organisations, the environment is collaborative, entrepreneurial, and is based on trust. We set ambitious goals, work hard, stress teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.
Position Overview
We are seeking a Mid‑Frequency Quantitative Researcher to design, develop, and deploy systematic trading strategies in the digital asset market as well as support the portfolio management activities for the multi‑strategy book. You will own the end‑to‑end research lifecycle — from idea generation and signal construction to implementation, monitoring, and ongoing optimization — working closely with execution and infrastructure teams.
Responsibilities
- Research, develop, and validate high‑quality quantitative trading signals for crypto markets.
- Lead the full strategy development lifecycle, from hypothesis generation to live deployment.
- Monitor live trading performance, risk exposures, and strategy robustness.
- Continuously refine and enhance existing models based on performance and market dynamics.
- Develop dashboards and analytics to support monitoring and analysis of the Mid‑Frequency strategy portfolio.
- Maintain clear and concise documentation of research methodologies, results, and improvements.
- Communicate findings, risks, and strategy updates effectively to internal stakeholders.
Requirements
- At least 2 years of experience in quantitative finance, trading, or a related field.
- Advanced degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Data Science or similar).
- Strong foundation in statistics and quantitative analysis.
- Hands‑on experience in Python and SQL.
- Proven ability to work with large‑scale, mid‑ or high‑frequency time‑series datasets.
- Proficiency in Linux‑based environments; familiarity with production research workflows.
- Ability to manage multiple research streams in a fast‑paced setting with strong attention to detail.
- Independent, self‑driven mindset with strong collaboration skills.
- Market‑focused perspective with strong problem‑solving and communication abilities.
Nice‑to‑Haves
- Demonstrated track record of developing and deploying successful systematic trading strategies.
- Solid understanding of crypto market structure and digital asset fundamentals.
- Experience integrating research outputs into live trading systems.
Benefits
- Competitive bonus scheme.
- Bupa health & dental, Cycle to Work scheme, enhanced pension, and generous annual leave.
- Enhanced parental leave, special leave allowances, and charity giving options.
- Regular team events, legendary summer & Christmas parties, knowledge sharing sessions, and quarterly town halls.
- Team lunches, dinners, Friday drinks, team sport activities.
Quantitative Researcher - Mid-Frequency employer: Fasanara Capital
Fasanara Digital is an exceptional employer that fosters a collaborative and entrepreneurial work culture, where meritocracy reigns and employees are rewarded based on their impact and excellence. Located in a dynamic sector, we offer competitive benefits including a robust bonus scheme, comprehensive health coverage, and generous leave policies, alongside ample opportunities for professional growth and team engagement through regular events and knowledge sharing. Join us to be part of a talented team dedicated to achieving outstanding results in the fast-paced world of crypto investments.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - Mid-Frequency
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend crypto meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Mid-Frequency Quantitative Researcher role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects or trading strategies. This will give you an edge and demonstrate your hands-on experience in Python and SQL, which is crucial for the role.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of crypto market structures and systematic trading strategies. Be ready to discuss your past experiences and how they align with Fasanara Digital's goals and culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our collaborative and entrepreneurial environment.
We think you need these skills to ace Quantitative Researcher - Mid-Frequency
Some tips for your application 🫡
Show Your Quantitative Skills:Make sure to highlight your experience in quantitative finance and any relevant projects you've worked on. We want to see how you can apply your skills to develop trading strategies, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your methodologies and results. We appreciate a well-structured application that gets straight to the point.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect our culture and the specific role. Show us why you’re a great fit for the Mid-Frequency Quantitative Researcher position at Fasanara Digital.
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!
How to prepare for a job interview at Fasanara Capital
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge. Be ready to discuss statistical methods, trading strategies, and any relevant experience you have with Python and SQL. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to developing and deploying trading strategies.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think about how you would approach generating hypotheses or optimising existing models. Practise explaining your thought process clearly and concisely, as they value strong communication skills just as much as technical prowess.
✨Understand the Crypto Market
Familiarise yourself with the current trends and structures in the crypto market. Being able to discuss recent developments or inefficiencies will show that you’re market-focused and genuinely interested in the field. It’s a great way to demonstrate your passion for the role and the industry.
✨Be Ready to Collaborate
Since teamwork is key in their culture, be prepared to discuss how you’ve worked effectively in teams before. Share examples of how you’ve collaborated on projects, especially in fast-paced environments. Highlighting your ability to work well with others will resonate with their meritocratic and collaborative ethos.
