As an engineer in AML Risk team youll help Wise detect and prevent money laundering and help in our team mission of Clean Money without Borders.
Youll 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 LLMs and Real-time transaction monitoring at scale.
- To identify suspicious money laundering activity as early in a customer lifecycle as possible
Qualifications :
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
Additional Information :
What does success look like
- Youll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
- Youll understand how our values can help you guide your work
- Youll understand AML landscape in Wise and how to go about solving some of our largest challenges.
- Youll closely collaborate with product managers data scientists data analysts engineers and other product teams on a daily basis.
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
As an engineer in AML Risk team youll help Wise detect and prevent money laundering and help in our team mission of Clean Money without Borders.Youll work closely with our cross-functional team comprising of Product Data Science and Analytics to fight crime and respond to evolving trends in Money La...
As an engineer in AML Risk team youll help Wise detect and prevent money laundering and help in our team mission of Clean Money without Borders.
Youll 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 LLMs and Real-time transaction monitoring at scale.
- To identify suspicious money laundering activity as early in a customer lifecycle as possible
Qualifications :
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
Additional Information :
What does success look like
- Youll have onboarded and found your place through understanding your team and tribe vision and how you can contribute
- Youll understand how our values can help you guide your work
- Youll understand AML landscape in Wise and how to go about solving some of our largest challenges.
- Youll closely collaborate with product managers data scientists data analysts engineers and other product teams on a daily basis.
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
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