endorsedCompleted

Staff Augmentation & Python Fraud Detection for Bitpanda

Services Covered:

Staff Augmentation • Website Development

Industry

Financial Services

Duration

6 months

Budget

50K - 199K

Start Date

1 August 2025

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

85/100

Strong

Project Capability Score (PCS) estimates how capable Acquaint Softtech Private Limited is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Bitpanda

Austria

Project Summary

Acquaint Softtech provided staff augmentation to Bitpanda, embedding developers into product squads to accelerate web-feature delivery while maintaining platform maintenance. They also developed a Python-based fraud detection initiative—including a risk scoring engine, statistical models, behavioral analysis, dashboards, and retraining pipelines. The engagement improved feature delivery cadence, reduced backlog and support tickets, and made fraud investigations faster and more focused.

Key Challenges

Expand engineering bandwidth through staff augmentation to accelerate customer-facing web features
Enhance the investment platform’s web interface (portfolio management, transaction tracking, account dashboards)
Strengthen the fraud detection framework with behavioral analytics and machine learning to identify suspicious transaction patterns more effectively than static rules

Project Deliverables

A Python-based risk scoring engine capable of near-real-time transaction analysis
Statistical models to detect unusual account activity patterns
Behavioral analysis features based on device usage, transaction timing, and trading activity
Internal dashboards for risk analysts to investigate flagged transactions
Automated data pipelines for retraining models
Enhanced web interface components for portfolio management, transaction history, and account dashboards
Secure API integrations between backend financial systems and the web platform
Refactored legacy components to improve maintainability

Project Solution

Acquaint embedded a 6-10 person developer team into the client's product squads to deliver web enhancements, optimize performance, refactor legacy components, and implement secure API integrations. In parallel, they architected and built a Python-based fraud detection and risk intelligence pipeline that included a near-real-time risk scoring engine, statistical detection models, behavioral analytics, internal investigator dashboards, and automated retraining pipelines to keep models current while preserving system performance and compliance.

Project Outcome

Engineering teams delivered new platform features more consistently and reduced backlog pressure
Web interface improvements made portfolio management more responsive and reduced support tickets
Compliance and risk teams received alerts with richer behavioral context, making investigations faster and more focused
Adaptive risk scoring reduced unnecessary transaction blocks while still highlighting suspicious activity

Platforms

Web
API/Integration Platform

Tech Stack

Python
REST API

Client Endorsement

Overall Review Rating

4.5

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Acquaint Softtech's developers helped the client deliver new platform features more consistently, make the platform easier to navigate, reduce backlog pressure, and decrease support tickets. Meanwhile, the improvements in the fraud detection system made investigations faster and more focused.”
Paul Klanschek
Co-Founder/CEO
Date: 03/16/2026