Andersen's customer was a Baltic FinTech company and EU-licensed eMoney institution, with 300 people working in 15 different cities worldwide. They provide a wide range of fast, convenient, and affordable financial and related services globally.
The project is implemented by a Baltics-based FinTech company and an EU-licensed eMoney institution with 300 people working in 15 different cities worldwide. The customer provides fast, convenient, and affordable financial and related services globally, thus offering a wide range of services. The main ones include a payment gateway for e-shops, a top-notch finance management app, money transfers, currency conversion, payment cards, a parcel locker network, and others. Internationally, the company’s network is expanding via a franchise-like joint venture model, connecting companies from different countries.
PHP 7, Symfony, Kubernetes, Python
REST APIs, VMWare, Docker, Ansible, Terraform, Harbor, Toran, Verdaccio, PHPUnit, Mockery, Codeception, Jest, Elasticsearch, RabbitMQ
The company implements a large and complex product, split into separate microservices, developed and deployed separately, providing payment-related services – multi-currency banking accounts for its end-clients. End-client can use various transfers, a payment gateway, solutions for retailers, various API integrations, mobile applications. The project is a long-term one, with complex business logic. Much effort is invested in infrastructure, reusable components, effective development processes, and constant technical improvement. It also involves a lot of custom and tailored solutions.
One of the features implemented is detecting abnormal behavior of clients. It is based on an LSTM type neural network. The latter is trained via transaction logs, revealing deviations from the patterns of normal client behavior. The detector is used in checking the security of financial transactions.
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