Senior Software Engineer - Fraud Handling

Posted 21 Days Ago
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Budapest, HUN
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
The Senior Software Engineer will enhance fraud investigations by developing automated solutions, optimizing workflows, and using AI technology to improve user experience and operational efficiency.
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

The team you will join: Fraud Handling Team

Join the Fraud Handling team, where we are dedicated to fighting financial crime and enhancing the customer experience during fraud investigations. Our mission is to automate and streamline processes, improve tooling, and create a seamless experience for both agents and customers. We are at the forefront of developing innovative solutions to tackle fraud, using cutting-edge technology and AI-driven investigations to enhance accuracy and reduce costs.

 

Our vision is:

  • Create an automated, efficient fraud investigation experience that minimizes friction for both customers and agents

  • Optimize agent workflows and queue structures to improve resolution speed and operational efficiency

  • Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists

  • Implement AI-driven investigations to enhance accuracy and reduce costs
     

What does it take?

  • 6+ years of experience, with Java/JVM-based projects and familiarity with CI/CD pipelines

  • Experience with Python (or willingness to learn)

  • Hands-on experience with Kafka or similar technologies

  • A strong product mindset and passion for user experience, prioritizing work with the customers in mind

  • Ability to work autonomously and take end-to-end ownership of projects

  • Strong communication skills and the ability to collaborate with cross-functional teams

  • Experience working with large language models in production is a plus

  • Understanding of machine learning concepts is a plus
     

What does success look like?

  • You'll be making a real-world impact by building systems that protect customers from fraud and scams

  • You’ll quickly integrate into the team, understanding our vision and how you can contribute

  • You’ll help raise the automation level to enable scaling of our product

  • You’ll understand our customers and the impact our product makes in their lives
     

Overview of the Current Team

The Fraud Handling team is a passionate group of crime fighters, positioned between agents and customers, focusing on enhancing the investigation process. Based in Budapest and Tallinn, our team is composed of dedicated engineers and specialists who are committed to making Wise a safer platform. We are continuously growing and taking ownership of the handling domain, with a strategic focus on reducing complexity, improving resolution speed, and increasing operational efficiency. Our collaborative environment encourages innovation and teamwork, making it an exciting place to work on cutting-edge solutions in fraud prevention.

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.

Skills Required

  • 6+ years of experience with Java/JVM-based projects
  • Familiarity with CI/CD pipelines
  • Experience with Python or willingness to learn
  • Hands-on experience with Kafka or similar technologies
  • Strong product mindset with a focus on user experience
  • Ability to work autonomously with end-to-end project ownership
  • Strong communication skills for cross-functional collaboration
  • Experience with large language models in production is a plus
  • Understanding of machine learning concepts is a plus

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren
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The Company
8,000 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: Not Specified
Austin, TX
Brussels, BE
Hungary
Hyderabad, IN
Kuala Lumpur, MY
London, GB
New York, NY
São Paulo, BR
Singapore
Tallinn, EE
Tokyo, JP
Learn more

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