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Automated Regulatory Reporting for a Bank (Basel III, Solvency II, ESG)

Context:

A bank struggles with manual, Excel-based processes for generating periodic reports required by regulators.

Hacktak's Role:

  • Analyze the reporting workflows and automate data collection and validation across systems (Core Banking, Risk Systems, Data Lake).
  • Build a central reporting platform to manage templates, KPIs, audit trails, and data lineage.
  • Implement business rule engines and ensure version control and traceability of submissions.
  • Provide role-based access controls and encryption for all data pipelines.

Technologies: Java, PostgreSQL, Apache Airflow, Power BI, Keycloak, Vault

Cybersecurity Risk Scoring System for a Fintech or Investment Platform

Context:

A digital investment platform wants to assess and continuously monitor cybersecurity risks across its infrastructure and third-party tools.

Hacktak's Role:

  • Build an automated risk scoring engine based on CVE data, threat intelligence feeds, and internal vulnerability scans.
  • Design a dashboard for CISOs to visualize infrastructure risk, prioritize mitigation actions, and simulate risk scenarios.
  • Develop API integrations with SIEM/SOC platforms and endpoint protection systems.
  • Include compliance mapping with NIS2, DORA, ISO 27001 controls.


Technologies: Python, Elastic Stack, OpenVAS, CVSS, React, Grafana

AI-Powered Fraud Detection Platform for an Insurance Company

Context:

A mid-sized insurance provider wants to improve detection of suspicious claims and reduce manual verification time.

Hacktak's Role:

  • Develop a data pipeline to ingest and structure claim data in real-time (from CRM, email, web forms, etc.).
  • Train and deploy a machine learning model (e.g. anomaly detection, scoring engine) to identify potentially fraudulent claims.
  • Integrate alerts into a user-friendly dashboard for fraud analysts.
  • Ensure GDPR compliance and security audits for sensitive customer data.


Technologies: Python, Spark, Scikit-learn, Kafka, Docker, Power BI