Python-Powered Crypto Banking Platform

The evolution of a cutting-edge banking platform was handled by our Python developers, showcasing their prowess in creating solutions for QIWI, non-bank entities, crypto projects, and media players. The platform's core features included virtual Visa/Mastercard cards, and our team ambitiously planned over 70 BINs across diverse segments and geographies. Future enhancements will encompass proprietary crypto-processing capabilities and a robust core banking platform tailored for European and Southeast Asian markets., including exchange rates, core data ingestion mediation, FKG mediation, and background processing. The system was built to handle millions of transactions daily, with a focus on real-time processing and analytics.

Fintech

CryptoBank

Innovation

Documentation

Optimization

Microservices

Perform a project

Client

Niche:

Financial Technologies

Location:

EU and Southeast Asia

Date:

September 2023

The client is a leading financial services provider, known for its extensive network of banking institutions and comprehensive financial products. They faced challenges with their existing transaction monitoring system, which struggled with scalability and integration issues. The customer required a modern, scalable solution to improve transaction processing speed, accuracy, and reliability, while also enhancing data security and compliance with financial regulations.
Detailed information about the client cannot be disclosed under the provisions of the NDA.

Solution

The primary application, initially a monolith, encompassed crucial functionalities like authentication, user management, card services, and transaction handling. A key microservice, developed using FastAPI and powered by PostgreSQL, facilitated seamless communication with other services via HTTP requests.

MassPay:

Handled mass payments to cards, SWIFT, and SEPA, including internal data processing, beneficiary validation, and interactions with providers like Fenige and NIUM. It was implemented using Go and Python with gRPC for communication and Temporal for workflow.

Financial Module:

Managed ledger interactions, account-level transaction processing, and report generation, utilizing Python, gRPC, and Postgres.

Results

75%

decrease of support requests

40%

decrease of resolution time

20%

improvement of system performance

35%

decrease of Fraud cases

25%

improvement of system security

Documentation:

Documentation creation time was reduced to 5-10 minutes; support requests decreased by 75%

Sentry and Grafana:

Error detection and resolution time decreased by 40%; average bug resolution time dropped from 4-5 hours to 2-3

Webhook Microservice:

Webhook processing time decreased from 5 seconds to 1; errors and failures reduced by 30%; system performance was improved by 20%.

Authorization Control:

Fraud cases decreased by 35%; system security improved by 25%.

Mass Payout Service:

Request processing time dropped from over 3 seconds to under 500 ms; the number of errors was reduced by more than half

Team

Team Lead

Backend Engineers

Frontend Engineers

UX/UI designer

Data Engineers

Data Scientist

Technical Stack:

Backend

Frontend

Platforms

Conclusion

The successful evolution of our project into a crypto-friendly banking platform featuring virtual Visa/Mastercard cards was made possible by the efforts of our Python team at Pynest. The extensive future plans, including 70+ BINs for any segment and geography, proprietary crypto-processing, and a core banking platform for European and Southeast Asian markets, were all supported by our skilled developers.

Our team at Pynest played a crucial role in this success, leveraging their expertise to integrate various payment systems (IBAN, SEPA, WIRE, SWIFT, VISA Direct, MC Send, local payment systems) and deliver a comprehensive and adaptable solution. The platform not only met immediate business needs but also positioned our clients for sustained growth and success in the rapidly evolving financial technology landscape. The collaboration and innovation from our Python developers at Pynest were instrumental in driving this project forward, ensuring a robust, scalable, and future-proof banking platform for our diverse client base.