Senior Intelligence Analyst in London

Senior Intelligence Analyst in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Software Careers

At a Glance

  • Tasks: Analyse and produce intelligence in the crypto ecosystem while designing AI to scale team output.
  • Company: Join Chainalysis, a leader in blockchain data and analytics.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Dynamic, fast-paced environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact in the evolving world of cryptocurrency and AI.
  • Qualifications: 5+ years in analytics or investigations with strong research and communication skills.

The predicted salary is between 70000 - 90000 £ per year.

The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.

Chainalysis data has helped solve some of the world’s highest-profile criminal cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators and law enforcement rely on to follow the money and disrupt crime.

As a Senior Intelligence Analyst, you’ll deepen it at its hardest edges and act as a force multiplier for the team. You’ll collect, analyze, and produce intelligence across the crypto-services ecosystem — but your real leverage is scale: you’ll design the AI and automation that multiply the whole team’s output, set the analytic standard, shape what we collect, and level up the analysts around you.

Who you’ll work with: You’ll join a fast-moving, globally distributed team of analysts collaborating across time zones — async and in real time. We move fast, hold each other to a high bar, and back each other up across regions — and as a senior member, you’ll help set that bar.

In this role, you’ll:

  • Own attribution for the most complex, high-stakes parts of the ecosystem, and set the standard for how it’s done.
  • Design and lead the AI/automation that scales attribution across the team.
  • Shape collection strategy — what data we need and how we get it.
  • Mentor analysts and raise the team’s tradecraft.
  • Contribute analyses and insights that feed our products and customers.
  • Become a certified cryptocurrency professional across all Chainalysis certifications.

We’re looking for candidates who have:

  • Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic.
  • 5+ years of strong analytic or investigative work, including leading hard problems end to end.
  • Strong research instincts and analytic rigor.
  • Initiative — you set the agenda: you see what the team should be working on and drive it.
  • Adaptability — comfortable with ambiguity and energized by a fast-moving space; the threats, the tech, and our tooling are always evolving.
  • AI-forward instincts — you build automation to scale your work and others’.
  • Comfort working with data; blockchain forensics experience a plus.
  • Excellent writing and communication.

AI at Chainalysis is not a feature - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.

About Chainalysis: Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.

You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

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 to you due to a disability, don't hesitate to let us know.

Senior Intelligence Analyst in London employer: Software Careers

Elastic is an exceptional employer that fosters a collaborative and inclusive work culture, particularly for the Principal Software Engineer role in London. With a strong emphasis on employee growth and development, the company provides competitive benefits and encourages innovation in enhancing search capabilities. Working remotely with a diverse team allows for meaningful contributions to cutting-edge technology while enjoying a supportive environment.

Software Careers

Contact Details:

Software Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Intelligence Analyst in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Software Careers!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Intelligence Analyst at Software Careers.

Leverage Professional Networks

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 Software Careers.

Apply Directly through Our Website

When you find a suitable opening like Senior Intelligence Analyst at Software Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Intelligence Analyst in London

Analytical Skills
Investigative Skills
AI/Automation Design
Data Analysis
Cryptocurrency Forensics
Writing Skills
Communication Skills

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Software Careers, 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 Software Careers. 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 Software Careers

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!

Showcase Your Projects

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 Software Careers!

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.