| Target Industry | Financial Services, FinTech, Digital Banking, Capital Markets, Payments |
|---|---|
| Core Services | Real-time Fraud Detection, Core Banking Data Modernization, High-Frequency Trading Pipelines, Alternative Credit Scoring |
| Tech Stack | Apache Kafka, Databricks, Snowflake, AWS, Python, dbt |
Financial Services Solutions
Data Engineering & AI Systems for Financial Services
From legacy core banking modernization to real-time fraud detection. We provision embedded engineering teams to build secure, PCI-DSS compliant data infrastructure for banks, capital markets, and payment gateways.
< 35ms
Fraud Detection Latency
SOC2 & PCI
Compliant Infrastructure
100%
Audit Trail Accuracy
14 Days
To Embed Senior Engineers
Solving Core Financial Services Bottlenecks
Legacy Core Banking Silos
On-premise mainframes lock data away, making real-time analytics impossible.
Cloud Data Modernization
Securely migrating monolithic databases to Snowflake/Databricks with zero downtime.
Batch Processing Vulnerabilities
Identifying fraudulent transactions hours after they occur due to outdated ETLs.
Event-Driven Streaming
Deploying Apache Kafka to analyze and block anomalous transactions in milliseconds.
Regulatory Reporting Overhead
Manual data gathering for KYC/AML audits leads to fines and human error.
Automated Compliance Pipelines
Creating immutable, automated data trails that satisfy regulators.
Engineering & AI Capabilities
Real-Time Fraud Prevention
We build ML pipelines that analyze behavioral biometrics and transaction velocity to block fraud without increasing false positives.
Explore SolutionAlternative Credit Scoring
Ingesting non-traditional data streams to train highly accurate risk models, expanding your lending portfolio safely.
Explore SolutionHigh-Frequency Data Pipelines
Architecting ultra-low latency infrastructure to ingest market feeds and power predictive algorithmic trading.
Explore SolutionEmbedded FinTech Teams
Bypass 6-month hiring cycles. Inject pre-vetted data engineers into your Jira sprints to clear your infrastructure backlog today.
Explore SolutionMission-Critical Infrastructure Monitoring
We don't build generic apps. We engineer the underlying data pipelines that power real-time financial decisions with absolute mathematical accuracy.
Transaction TPS
12.4K
Real-time transaction throughput across payment gateways.
Fraud Pipeline Latency
< 35ms
Sub-millisecond anomaly detection response time.
Risk Model ROC-AUC
0.94
Credit risk model performance curve.
AML/KYC Flags
847
Compliance flags requiring manual review.
Provisioned via: Kafka • Databricks • Python
Expected ROI Within the First Quarter
Latency
To detect and block anomalous transactions.
Data Loss
During legacy-to-cloud migrations.
False Positive Reduction
Preventing blocked valid cards.
How We Integrate
Architecture & Security Audit (Week 1)
Comprehensive evaluation of your current infrastructure, security posture, and compliance requirements.
Pipeline & Streaming Setup (Weeks 2-4)
Deploying Kafka clusters, configuring data pipelines, and establishing secure connections to core banking systems.
ML Deployment & Handover (Weeks 5-8)
Rolling out fraud detection models, credit scoring algorithms, and full documentation handover to your team.
Frequently Asked Questions
Get in touch
Map Your AI Roadmap
Stop guessing about AI feasibility. Share your most expensive manual process. Our team will review your workflow and outline a realistic integration plan, timeline, and projected ROI.
Email us directly
marketing@3alica.com