Wise
Senior Backend Engineer - Fraud
Wise, Buffalo, New York, United States, 14266
Company DescriptionWise 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 our
mission .
Job DescriptionThe team you will join: Fraud teamThe 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. 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 vision is: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 does it take?7+ years of experience in Java
or other JVM based language, experience with Spring framework and deep understanding of JDBC and database internals.Experience with CI/CD pipelines and Distributed and Concurrent Systems.Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus.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.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 a non-technical audience.Experience working with relational and non-relational databases, query optimisation and designing schemas.You enjoy writing testable code and believe in Test Driven Development.You believe in and follow best coding practices, code reviews and open feedback.Being able to propose technical solutions that optimise for latency and throughput at the same time - aka: being able to execute fraud checks real-time even when a significant amount of transactions are needed to be screened.What does success look like?You'll be having a real world impact by building financial crime prevention systems which protect customers from falling victims of fraud.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 the reasons behind problematic payments and customer difficulties and how to go about solving them.You’ll be raising the automation level to enable scaling of the product.Understand our customers and the impact our product makes in their lives.You’ll help us scale-up and build a world class money transfer product by finding solutions to our technical challenges and opportunities.
Additional InformationFor 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 .
#J-18808-Ljbffr
mission .
Job DescriptionThe team you will join: Fraud teamThe 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. 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 vision is: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 does it take?7+ years of experience in Java
or other JVM based language, experience with Spring framework and deep understanding of JDBC and database internals.Experience with CI/CD pipelines and Distributed and Concurrent Systems.Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus.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.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 a non-technical audience.Experience working with relational and non-relational databases, query optimisation and designing schemas.You enjoy writing testable code and believe in Test Driven Development.You believe in and follow best coding practices, code reviews and open feedback.Being able to propose technical solutions that optimise for latency and throughput at the same time - aka: being able to execute fraud checks real-time even when a significant amount of transactions are needed to be screened.What does success look like?You'll be having a real world impact by building financial crime prevention systems which protect customers from falling victims of fraud.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 the reasons behind problematic payments and customer difficulties and how to go about solving them.You’ll be raising the automation level to enable scaling of the product.Understand our customers and the impact our product makes in their lives.You’ll help us scale-up and build a world class money transfer product by finding solutions to our technical challenges and opportunities.
Additional InformationFor 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
and
Instagram .
#J-18808-Ljbffr