Senior Software Engineer, Fraud Handling

Wise

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Budapest, HungaryTallinn, Estonia
Posted
123 days ago
Freshness
Confirmed live yesterday
Closes
May 18, 2126

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Salary context

How this pay compares to similar roles

Similar $183k
$112k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $151,000–$215,250.

Based on 240 similar postings.

Employer

About Wise

Wise (formerly TransferWise) is a global technology company specializing in international money transfers and multi-currency accounts, offering transparent low-cost foreign exchange for individuals and businesses. Industry: Financial Technology & International Payments

Wise currently has 45 open roles on FindRole.

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At a glance

TL;DR · Senior Software Engineer, Fraud Handling

As a Senior Software Engineer - Fraud Handling, you will join the Fraud Handling team to fight financial crime and improve the customer experience during fraud investigations. You will be responsible for automating and streamlining processes, improving internal tooling, and creating seamless experiences for both agents and customers. Your daily work involves building systems that protect users from scams while optimizing agent workflows and queue structures to increase resolution speed. The role requires expertise in Java/JVM-based projects, CI/CD pipelines, Python, and Kafka or similar technologies. You will also leverage machine learning concepts and large language models in production to enhance investigation accuracy. This position focuses on the fraud prevention domain, specifically solving problems related to operational efficiency and reducing complexity within the automated handling of fraudulent activities to ensure a safer platform for all users.

What does a Software Engineer earn?

Median $197450 from 2160 postings across 139 companies.

See salary data

What you'll do

  • Develop and maintain fraud investigation systems using Java/JVM technologies and CI/CD pipelines.
  • Implement AI-driven investigations to improve accuracy and reduce operational costs.
  • Automate and streamline manual processes to minimize friction for customers and agents.
  • Optimize agent workflows and queue structures to increase resolution speed.
  • Build tools that protect customers from financial crime and scams.
  • Partner with the product team to develop solutions based on fraud prevention expertise.
  • Take end-to-end ownership of projects while maintaining a strong focus on user experience.

What we're looking for

  • 6+ years of experience with Java/JVM-based projects and familiarity with CI/CD pipelines.
  • Experience with Python or a willingness to learn the language.
  • Hands-on experience with Kafka or similar technologies.
  • A strong product mindset and passion for user experience.
  • Ability to work autonomously and take end-to-end ownership of projects.
  • Strong communication skills and ability to collaborate with cross-functional teams.
  • Experience working with large language models in production (preferred).
  • Understanding of machine learning concepts (preferred).

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