Senior Frontend Engineer - AML

Posted 11 Hours Ago
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Tallinn, Harju maakond, EST
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Build and improve front-end investigative tooling for AML agents, integrate GenAI/LLM features, drive UX and security/access-control improvements, add front-end analytics, and contribute to platform reliability and company-wide engineering initiatives.
Summary Generated by Built In
Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

About the role:

At Wise, we move money for millions of people around the world — and we take that responsibility seriously. Our AML (Anti-Money Laundering) Handling team builds the internal tooling and investigative systems that help Wise detect, investigate, and report financial crime, keeping our platform safe for every customer who relies on us.

We're looking for a Software Engineer with strong front-end engineering skills to help us build and improve the tooling our AML investigation agents use every day. From the interfaces agents use to review suspicious activity, to the GenAI-powered features that augment their investigations, your work will directly contribute to making Wise a safer place for everyone.

What You'll Work On:

You'll be embedded in our AML Handling product engineering team, working on the suite of back-office investigative tools that our AML investigation agents rely on globally to identify and act on financial crime.

Specifically, you can expect to:

  • Build and improve investigative workflows — Designing and shipping front-end features that reduce friction for agents handling complex money laundering investigations, with the goal of meaningfully reducing case handling time.

  • Integrate GenAI capabilities into agent tooling — We're actively embedding LLM-powered features directly into our investigative flows. You'll help make these feel seamless and trustworthy to the agents using them.

  • Drive UX improvements across our investigative suite — Identifying and eliminating repetitive, redundant agent actions across our tooling; improving how different systems integrate with each other; and pre-filling data intelligently from existing data sources.

  • Contribute to access control and security improvements — Helping ensure agents only see the customer data relevant to their active case assignment, closing a high-priority security vulnerability that protects both our customers and the integrity of our investigations.

  • Instrument and analyse agent behaviour — Building granular front-end analytics that allow us to identify bottlenecks in how agents interact with our tooling and prioritise improvements with data.

  • Contribute to platform campaigns and tech health — Participating in company-wide engineering initiatives, keeping our services reliable, up-to-date, and secure.

 

Qualifications

What We're Looking For

You'll be a strong fit if you:

  • Have solid, demonstrable experience in front-end engineering — you write clean, testable, well-structured code and care deeply about the experience of the people using your software.

  • Are comfortable owning medium-sized features end-to-end — from scoping and design, through to deployment, observability, and post-launch iteration.

  • Can work effectively across functions — you communicate clearly with product managers, designers, operations specialists, and data scientists to move work forward.

  • Have a product mindset — you always ask why something is being built, and you're able to connect your work back to the outcomes it drives for agents and customers.

  • Proactively seek feedback, share your work early, and contribute positively to a culture of collaboration and continuous improvement.

Bonus points if you:

  • Have back-end experience (Java/Spring Boot, Kafka, or similar), allowing you to own full-stack features and reduce handoffs.

  • Have experience building internal tooling or back-office systems used by operational teams.

  • Have worked in a regulated environment (financial services, compliance, or trust & safety) and understand the importance of audit trails, data security, and correctness.

  • Are familiar with LLM integration patterns or have experience working with GenAI-powered product features.

 

Why This Team

  • Your work has direct, measurable impact on financial crime prevention — the tooling you build helps investigators catch money laundering, protect vulnerable customers, and meet regulatory requirements across 20+ jurisdictions.

  • We are actively investing in GenAI-augmented investigation flows — this is one of the team's biggest strategic bets for 2026, and you'll be at the centre of it.

  • The team is maturing quickly, with a growing balance of back-end and front-end expertise, and there is real opportunity to shape both how we build and what we build.

  • We're actively growing our front-end capacity to support significant back-office work ahead, meaning your impact and influence will be felt from day one.

 

Additional Information

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Skills Required

  • Demonstrable experience in front-end engineering, writing clean, testable, well-structured code.
  • Ability to own medium-sized features end-to-end, from scoping through to deployment and post-launch iteration.
  • Effective cross-functional communication with product managers, designers, operations specialists, and data scientists.
  • Product mindset; able to connect work to outcomes for agents and customers.
  • Proactively seek feedback and contribute to a culture of collaboration and continuous improvement.
  • Back-end experience (Java, Spring Boot, Kafka) to support full-stack ownership and reduce handoffs.
  • Experience building internal tooling or back-office systems used by operational teams.
  • Experience working in regulated environments (financial services, compliance, trust & safety).
  • Familiarity with LLM integration patterns or experience with GenAI-powered product features.

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren

Wise Compensation & Benefits Highlights

  • Leave & Time Off Breadth Global minimum of 33 paid days off (36 in U.S. hubs) plus a 6‑week paid sabbatical every four years and extras like volunteer or “Me” days indicate substantial time‑off depth.
  • Parental & Family Support A global minimum of 18 weeks fully paid parental leave for birth or adoption after one year, along with adoption and fertility support, underscores robust family support.
  • Flexible Benefits Work‑from‑anywhere up to 90 days per year after six months and flexible working principles provide notable geographic mobility and scheduling latitude.

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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Budapest
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Austin, TX
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Hydrabad
Kuala Lumpur, MY
London, GB
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New York
São Paulo, BR
Singapore
Tallinn, EE
Tokyo, JP
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