At a Glance
- Tasks: Lead the development of machine learning models to combat financial fraud.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Join a diverse team dedicated to innovation and security.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge technology.
- Qualifications: Experience in data science and fraud detection techniques required.
The predicted salary is between 60000 - 80000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. As part of our team, you will be helping us create an entirely new network for the world's money. The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems.
Key Responsibilities:
- 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.
- Maintain and optimise existing risk models to ensure their accuracy and reliability.
- Continuously monitor model performance and implement improvements based on feedback and testing.
- Lead the development and deployment of machine learning models and features.
- Support the effective management and mitigation of risks associated with our receiving processes.
- Help grow our data science team in this space.
We are looking for someone who will help maintain our existing machine learning algorithms, while helping to make them better and develop new intelligence to stop fraudsters. Strong problem-solving skills with the ability to help refine problem statements and figure out how to solve them are essential. Prior experience in the fraud domain and a strong understanding of fraud detection techniques are also required.
We're people building money without borders — without judgement or prejudice, too. 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.
