At a Glance
- Tasks: Research new tech and market trends, draft notes, and support data analysis.
- Company: Join Dragonfly Asset Management, a leader in digital asset investment.
- Benefits: Flexible work environment, learning opportunities, and a chance to shape the future of finance.
- Other info: No crypto experience needed; just bring your passion for learning and innovation.
- Why this job: Dive into the exciting world of digital assets and make a real impact.
- Qualifications: Curiosity, strong communication skills, and a proactive attitude are key.
The predicted salary is between 35000 - 42000 £ per year.
- Research & Market Analysis
- Researching new technologies, protocols, and market themes as potential investments
- Drafting short research notes, summaries, and simple competitive analyses
- Tracking relevant news, market updates, and broader macro/tech developments
- Supporting data gathering and helping maintain and potentially develop better internal data dashboards.
- Marketing & Client Materials
- Assisting with the preparation of investor updates, marketing materials, and research-driven presentations
- Helping devise innovative means to translate complex topics into clear, engaging content for external audiences
- Assisting in the organisation of investor-focused events and maintaining investor database
- Attendance at investment committee meetings and potentially other external events
- Fund Operations
- Supporting the day-to-day running of the fund with adhoc organisational, analytical, and administrative tasks
- Helping prepare presentations for investment meetings, internal reviews, and compliance
Requirements
We're not concerned with a list of degrees or years of experience - we care more about your attitude, work ethic, and curiosity. Specifically:
- Proactive, self-starter: you take initiative
- Independent thinker: you're comfortable forming opinions and reasoning through them
- Responsible: you care about quality and delivering on what you commit to
- Voracious learner: you enjoy picking up new concepts quickly
- Curious about the world: your curiosity spans markets, tech, and people
- Clear communicator: both written and verbal
- Comfortable with Microsoft Office
- Proficient user of Chat GPT/Grok/Claude
- No Crypto experience required - genuine interest in the sector is an advantage
Ideally you would also have
- Some exposure to financial markets, tech, or start-ups,
- Some experience with research, analysis, or presentation work
- Some coding experience or proficiency with niche AI products
About the Company
Dragonfly Asset Management identifies the leading digital assets.
Our experienced multi-disciplinary team blends decades of traditional investment experience with tech-native blockchain expertise to identify compelling infrastructure investment opportunities in the digital asset market.
Dragonfly's proprietary research approach is unique and highly disciplined, focusing on in-depth fundamental analysis, within a rigorous risk control framework.
We believe there is a clear opportunity for outsize capital returns and alpha through our proven in-depth digital asset project analysis approach.
One of our key aims is to be thought leaders in the Digital Assets sector.
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Research Analyst employer: Dragonflyassetmanagement
At Dragonfly Asset Management, we pride ourselves on fostering a dynamic and innovative work culture that encourages curiosity and proactive thinking. As a Research Analyst, you'll have the opportunity to engage with cutting-edge technologies and contribute to meaningful investment strategies while benefiting from a supportive environment that prioritises employee growth and development. Located in a vibrant sector of the financial landscape, our team is dedicated to not only achieving exceptional results but also to nurturing your professional journey in the exciting world of digital assets.
StudySmarter Expert Advice🤫
We think this is how you could land Research Analyst
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dragonflyassetmanagement.
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We think you need these skills to ace Research Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Dragonflyassetmanagement, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dragonflyassetmanagement. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dragonflyassetmanagement
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dragonflyassetmanagement!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.