Overview

We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action.

As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle.

Role

• Create and maintain microservices, primarily in Golang, taking increasing responsibility.
• Containerise your services and make ready for deployment onto a k8s environment using helm charts.
• Write tests with high coverage including unit, contract, e2e and integration.
• Version control code with git and build, test and deploy using ci/cd pipelines.
• Participate in the review of team members code.
• Perform demos and join acceptance discussions with analysts, developers and product owners.
• Assist in task planning and review as part of a sprint based workflow.
• The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday.

All About You

First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings.

You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it.

• Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary.
• You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals.
• You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering.
• You are keen to engage with productionising machine learning technologies.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.