Posted 17 days ago
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Join Wise's AML Risk team to help detect and prevent money laundering by building scalable detection systems. You will collaborate closely with Product, Data Science and Analytics to develop solutions leveraging machine learning, LLMs and real-time transaction monitoring. The role focuses on early identification of suspicious activity, building reliable microservices, and working with data pipelines and relational databases. Strong product mindset, testable code practices and experience with CI/CD and event streaming are important for success.
- Compensation
- €4,250 – €5,550 EUR
- City
- Tallinn
- Country
- Estonia
Currency: € (EUR)
Full Job Description
Software Engineer - AML Risk
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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.
As an engineer in AML Risk team, you'll help Wise detect and prevent money laundering, and help in our team mission of Clean Money without Borders.
You'll work closely with our cross-functional team comprising of Product, Data Science and Analytics to fight crime, and respond to evolving trends in Money Laundering.
Our Goals are to:
- Build a global money laundering detection system leveraging Machine Learning, LLM's and Real-time transaction monitoring at scale.
- To identify suspicious money laundering activity as early in a customer lifecycle as possible
What does it take?
- A strong product mindset, you prioritise work with the customers and operational teams in mind and make data-driven decisions
- Great communication skills and the ability to articulate complex, technical concepts to non-technical audience
- You have 2+ years of working with Object Oriented Programming Languages. (JVM based languages are a plus), Event Streaming Platforms and microservices
- Experience working with relational databases, query optimisation and designing schemas
- You enjoy writing testable code
- Experience with CI/CD pipelines
- Hands on knowledge of system integration patterns
- You believe in and follow best coding practices, code reviews and open feedback
- Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus
What does success look like?
- You’ll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
- You’ll understand how our values can help you guide your work
- You'll understand AML landscape in Wise, and how to go about solving some of our largest challenges.
- You'll closely collaborate with product managers, data scientists, data analysts, engineers and other product teams on a daily basis.
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.
Wise is a global technology company, building the best way to move and manage the world’s money.
\nMin 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.
\nFor everyone, everywhere.
More about our mission and what we offer.
As an engineer in AML Risk team, you'll help Wise detect and prevent money laundering, and help in our team mission of Clean Money without Borders.
You'll work closely with our cross-functional team comprising of Product, Data Science and Analytics to fight crime, and respond to evolving trends in Money Laundering.
Our Goals are to:
- Build a global money laundering detection system leveraging Machine Learning, LLM's and Real-time transaction monitoring at scale.
- To identify suspicious money laundering activity as early in a customer lifecycle as possible
\n
What does it take?
- A strong product mindset, you prioritise work with the customers and operational teams in mind and make data-driven decisions
- Great communication skills and the ability to articulate complex, technical concepts to non-technical audience
- You have 2+ years of working with Object Oriented Programming Languages. (JVM based languages are a plus), Event Streaming Platforms and microservices
- Experience working with relational databases, query optimisation and designing schemas
- You enjoy writing testable code
- Experience with CI/CD pipelines
- Hands on knowledge of system integration patterns
- You believe in and follow best coding practices, code reviews and open feedback
- Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus
\n
What does success look like?
- You’ll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
- You’ll understand how our values can help you guide your work
- You'll understand AML landscape in Wise, and how to go about solving some of our largest challenges.
- You'll closely collaborate with product managers, data scientists, data analysts, engineers and other product teams on a daily basis.
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.
\nInclusive 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.
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Find out more about what we offer our employees
From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.
What we offer
Software Engineer - AML Risk
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