Staff Software Engineer
Staff Software Engineer
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Job Description
Team you will be joining: Fraud group
The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cuttingedge machine learning realtime transaction monitoring and data analysis our team is responsible for developing and enhancing fraud detection systems. Software engineers data analysts and data scientists collaborate on a daily basis to continuously improve our systems and provide support to our fraud investigation team.
Our main vision points are:
Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.
Utilise machine learning techniques to identify potential risks associated with customer activity.
Foster a strong partnership between our fraud investigators and the product team to develop solutions that leverage the expertise of fraud prevention specialists.
Not only meet the requirements set by regulators and auditors but also surpass their expectations.
Is that you
10 years of software engineering experience with significant experience in Java or other JVMbased languages.
2 years of experience in architecting big data systems with proven ability to propose and implement technical solutions that balance latency and throughput particularly for realtime systems under high transaction loads.
Willingness to take broad ownership of squad responsibilities (building roadmaps scoping) while mentoring teams on their technical and product roadmaps.
Experience in uplevelling junior engineers and providing guidance to senior engineer via processes and setting a high bar for them to follow
You are a proactive effective communicator who is able to describe technical concepts to nontechnical audiences and eager to learn new domains and have a strong bias towards action.
Experience leading engineering teams and driving largescale projects to successful completion across multiple engineering teams is a nicetohave.
What does success look like
Youll have found your place in our mission by understanding how to drive engineering solutions and suggesting future challenges
Youll understand our customers and the impact our product makes in their lives
Youll make contributions to the wider engineering goals of the company
Youll inspire a team environment where ideas are shared and openness is valued
Youll help us scaleup and build a world class money product that impacts millions of customers
#LIZK1
Additional Information :
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 Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
