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- Tasks: Develop systematic mid-frequency strategies for digital asset trading and optimize execution algorithms.
- Company: Join Fasanara Digital, a leading crypto investment firm managing $4.5 billion.
- Benefits: Enjoy health perks, generous leave, team events, and a competitive bonus scheme.
- Why this job: Be part of a tech-driven team in a fast-paced, innovative environment focused on digital assets.
- Qualifications: 3+ years in buy-side trading strategies; strong skills in Python, SQL, and time-series data.
- Other info: Collaborate with top talent and participate in exciting team activities and knowledge sharing.
The predicted salary is between 48000 - 84000 £ per year.
Founded in 2018, Fasanara Digital is the crypto arm of Fasanara Capital FCA-authorised investment firm managing USD 4.5 billion. Fasanara Digital is exclusively focused on digital assets and is one of the largest, longest running and best performing market neutral funds in the space. We pursue a rigorous, technologically driven, scientific approach to trading.
We are seeking a Mid-Frequency Quantitative Researcher with buy-side experience to develop systematic mid-frequency strategies for digital asset trading. You will be responsible for designing models with horizons from several minutes to hours, enhancing our execution framework, and continuously optimizing our trading strategies.
- Research and develop signals with mid-frequency horizons
- Construct optimized portfolio to maximize profits, minimize execution costs and risks
- Collaborate with trading and technology teams to implement and optimize execution algorithms to reduce their slippage
Requirements
- 3+ years of buy-side experience in developing systematic trading strategies, traditional assets classes or digital assets
- Experience in a central risk book team is a strong advantage
- Exposure to the whole pipeline, from alpha generation, portfolio construction to execution
- Strong quantitative and statistical skills, with hands-on expertise in Python and SQL; knowledge in C++/Java is an advantage
- Extensive experience working with large volumes of time-series data
- A market-oriented mindset, proactive approach, and excellent communication skills
- Proven ability to work independently and collaboratively to drive strategy development
Benefits
- Bupa health & dental, Cycle to Work scheme, enhanced pension, and generous annual leave (25 days +)
- Enhanced parental leave, special leave allowances, and charity giving options
- Competitive bonus scheme
- Regular team events, legendary summer & Christmas parties, knowledge sharing sessions, and quarterly town halls
- Team lunches, dinners, Friday drinks, team sport activities
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Finance
- Industries
- IT Services and IT Consulting
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Quantitative Researcher employer: Fasanara Capital
Contact Detail:
Fasanara Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Make sure to showcase your buy-side experience prominently. Highlight specific projects where you developed systematic trading strategies, especially in digital assets, as this is crucial for the role.
✨Tip Number 2
Demonstrate your quantitative and statistical skills through examples of past work. If you've worked with Python and SQL, be ready to discuss how you used these tools to analyze large volumes of time-series data.
✨Tip Number 3
Emphasize your collaborative skills. Since the role involves working closely with trading and technology teams, share experiences where you successfully collaborated to implement or optimize trading strategies.
✨Tip Number 4
Stay updated on the latest trends in digital assets and mid-frequency trading strategies. Being knowledgeable about current market conditions can help you stand out during discussions with the hiring team.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Mid-Frequency Quantitative Researcher. Familiarize yourself with the specific skills needed, such as Python, SQL, and experience in developing systematic trading strategies.
Tailor Your CV: Customize your CV to highlight relevant experience in buy-side roles and quantitative research. Emphasize your hands-on expertise with large volumes of time-series data and any experience with execution algorithms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for digital assets and your proactive approach to trading strategies. Mention specific projects or achievements that demonstrate your quantitative and statistical skills.
Highlight Collaboration Skills: Since collaboration with trading and technology teams is crucial, include examples in your application that illustrate your ability to work independently and as part of a team to drive strategy development.
How to prepare for a job interview at Fasanara Capital
✨Showcase Your Quantitative Skills
Be prepared to discuss your quantitative and statistical skills in detail. Highlight specific projects where you've used Python and SQL to develop trading strategies, and be ready to explain your thought process and the outcomes.
✨Demonstrate Your Buy-Side Experience
Since the role requires buy-side experience, come equipped with examples of systematic trading strategies you've developed. Discuss how you approached alpha generation, portfolio construction, and execution to showcase your comprehensive understanding of the trading pipeline.
✨Collaborative Mindset
Fasanara Digital values collaboration between teams. Prepare to share experiences where you've worked closely with trading and technology teams. Emphasize your ability to communicate effectively and drive strategy development in a team setting.
✨Market-Oriented Approach
Express your market-oriented mindset by discussing current trends in digital assets and how they influence trading strategies. Show that you're proactive and have a keen interest in optimizing execution algorithms to minimize slippage and enhance performance.
