At a Glance
- Tasks: Investigate and analyse crypto activities, connecting data to real-world entities.
- Company: Join a leading firm in the crypto-services ecosystem with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to accessibility.
- Why this job: Be at the forefront of AI and crypto, making impactful contributions to the industry.
- Qualifications: 2+ years in analysis or investigation; strong research skills and adaptability required.
The predicted salary is between 50000 - 65000 £ per year.
Job Summary
As an Intelligence Analyst, you'll help build the system across the crypto‑services ecosystem end to end: you collect the data, analyze it, and produce the attribution.
You won’t work on one entity at a time; you’ll build and tune the AI and automation that turn your analysis into attribution at scale.
Responsibilities
- Investigate and attribute activity across the crypto‑services ecosystem, connecting on‑chain activity to real‑world entities.
- Proactively surface what is worth investigating and identify automation opportunities.
- Build and tune AI workflows that scale your analysis and handle edge cases AI can’t handle.
- Drive the data collection and research that keep our attribution comprehensive and fresh.
- Maintain a high bar for accuracy, analytic rigor, and documentation.
- Become a certified cryptocurrency professional across all Chainalysis certifications.
Qualifications
- 2+ years of analytical or investigative experience (intelligence, law enforcement, cyber, fraud, compliance, or research).
- Strong research instincts and analytic rigor.
- Initiative – spot what needs investigating and act without waiting to be told.
- Adaptability – comfortable with ambiguity and energized by a fast‑moving space.
- Real enthusiasm for AI – want to build with it, not just use it.
- Comfort working with data and curiosity about crypto and blockchain.
EEO Statement
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more.
If you need any accommodations to make our interview process more accessible due to a disability, please let us know.
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Intelligence Analyst employer: Chainalysis Inc.
Chainalysis Inc. is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about the intersection of technology and finance. With a strong emphasis on employee growth, you will have ample opportunities to mentor junior analysts and shape the future of crypto intelligence while working in a collaborative environment that values initiative and adaptability. Located in a vibrant tech hub, our team enjoys not only competitive benefits but also the chance to be at the forefront of the rapidly evolving crypto landscape.
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We think this is how you could land Intelligence Analyst
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We think you need these skills to ace Intelligence 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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Chainalysis Inc.. 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 Chainalysis Inc.
✨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
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✨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.