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- Tasks: Develop a fraud prevention engine and collaborate with teams to enhance customer security.
- Company: Wise is a global tech company revolutionising how money is moved and managed worldwide.
- Benefits: Enjoy a hybrid work model, diverse team culture, and opportunities for personal growth.
- Why this job: Join a mission-driven team focused on safeguarding customers while leveraging cutting-edge technology.
- Qualifications: Experience in Java, CI/CD, and a passion for user experience are essential; eagerness to learn is valued.
- Other info: Diversity and inclusion are core values at Wise, fostering a supportive environment for all.
The predicted salary is between 43200 - 72000 £ per year.
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 life 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 .
Job Description
About the role
We are looking for a Senior Back End Engineer with experience in Java and Java related technologies.
The Trust and Safety team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our customers. By leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team of software engineers, data analysts, and data scientists create controls and detection capabilities to protect our customers accounts from unauthorised access and help them avoid falling victim to scams.
How we work
We operate on a strong belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the tribe.
We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence.
What will you be working on?
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.
What do you need?
We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you!
In depth experience using Java or other JVM based language, experience with Spring framework
Experience with CI/CD pipelines and Distributed and Concurrent Systems
A strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points
Experience working with relational and non-relational databases, query optimisation and designing schemas
Being able to work independently on customer problems is a key to success – you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve
Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis.
Great communication skills and the ability to articulate complex, technical concepts to non-technical audience
You enjoy writing testable code and believe in Test Driven Development
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 plus
Nice to have experience using Javascript or Typescript other similar front end frameworks
Interested? Find out more:
.
Wise Engineering –
What do we offer:
Starting salary: £80,000-£102,000 + RSU
#LI-AB3 #LI-Hybrid
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 .
Keep up to date with life at Wise by following us on and .
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - Trust & Safety
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and fraud detection. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with current or former employees of Wise on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific challenges you've faced in previous roles and how you overcame them, especially in relation to security and user experience.
✨Tip Number 4
Stay updated on regulatory requirements related to financial technology. Understanding these regulations will not only help you in interviews but also show that you are proactive and serious about contributing to Wise's mission of safeguarding customers.
We think you need these skills to ace Senior Software Engineer - Trust & Safety
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java and related technologies, as well as your familiarity with CI/CD pipelines and distributed systems. Use specific examples to demonstrate your skills in fraud prevention and detection.
Craft a Compelling Cover Letter: In your cover letter, express your passion for user experience and how you prioritise customer needs. Mention your ability to work independently and your experience collaborating with cross-functional teams, as these are key aspects of the role.
Showcase Relevant Projects: If you've worked on projects involving machine learning or fraud detection, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work on the project's success.
Highlight Communication Skills: Since the role requires articulating complex concepts to non-technical audiences, emphasise your communication skills in both your CV and cover letter. Provide examples of how you've successfully communicated technical information in the past.
How to prepare for a job interview at Wise
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Java and related technologies in detail. Highlight specific projects where you've implemented solutions using these skills, especially in the context of fraud prevention or security.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to analyse complex requirements and deliver simple solutions. Use examples from your past work to illustrate how you approached similar challenges.
✨Emphasise Collaboration
Since the role requires close collaboration with various teams, be ready to discuss your experience working with product managers, data scientists, and other engineers. Share examples of how you’ve successfully worked in a team environment.
✨Communicate Clearly
You’ll need to articulate complex technical concepts to non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact and benefits rather than just the technical details.
