Data Analyst
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 29, 2026.
ABOUT LHV
We're building a bank the world actually needs - modern, sharp and genuinely human. We started in Estonia, growing through grit and high standards. Now we're taking on the UK and Europe. The next chapter is about doing the most ambitious work we've ever done, and changing how people experience money.
We run on three values: No Bullshit, Agile, and Never Satisfied. They're not wall art. They're how we make decisions, push each other and show up every day.
WHY THIS ROLE MATTERS
We're building the financial crime controls of the future, and they need to scale with every customer and product LHV takes on. This is a chance to build that foundation from the ground up, together with the team. We don't just maintain what exists. We grow it and challenge it.
You'll help drive data and analytics work across our Anti-Financial Crime (AFC) domain. You'll take projects from opportunity to delivery and help scale the team through automation and self-service tooling.
You'll help build a trusted, scalable data foundation for AML monitoring, screening and customer risk assessment. You'll improve data quality, keep metrics consistent and make insights easier to reach. That removes manual bottlenecks and helps us detect financial crime faster and more accurately. It also lets us show regulators, clearly and with evidence, that our controls work.
WHAT YOU'LL DO
You'll work alongside AFC analysts, investigators and engineers, contributing to:
Analysing and optimising transaction monitoring and screening performance, and proposing changes backed by data.
Customer risk assessment, through analysis of risk factors and the impact of model changes.
Building and maintaining AFC dashboards and management reporting.
Defining and documenting metric logic, business definitions and dataset contracts for AFC data.
Automating recurring manual analyses and data pulls so AFC teams can self-serve.
Working with Anti-Financial Crime teams, including monitoring and screening teams, 2nd line compliance, data engineering and AI teams, on data-driven improvements to our financial crime controls.
WHAT WE'RE LOOKING FOR
4+ years of experience as a data analyst or in a similar role.
Strong analytical thinking and problem-solving skills.
SQL/Python proficiency and familiarity with BI tools (preferably Tableau).
Experience with AML, fraud, compliance or other risk analytics is a strong plus.
Curiosity, ownership, and a proactive attitude.
Clear communication skills, and the ability to translate between business or regulatory questions and data reality.
Experience working with AWS and Snowflake is a plus.
Proficiency in Estonian language is preferred.
You already reside in Estonia as we don't offer relocation for this role.
WHY YOU'LL LOVE IT HERE
Build financial crime controls that scale with LHV's growth, and that last long after you've moved on.
Shape the setup from the start: we don't just maintain, we grow and challenge.
Work with ambitious colleagues who value innovation and move fast.
Enjoy the freedom to experiment and the ownership to build real impact.
Grow professionally and personally through meaningful opportunities.
THE FUTURE WE'RE BUILDING
Banking has been ugly, slow and impersonal for too long. We're fixing that with solutions that respect people's intelligence and technology that actually works for them.
If that sounds like the kind of problem worth working on, let's talk.
JOB LOCATION
Tallinn
CONTACT