Enhancing a Middle Eastern Financial Institution’s Operations with Talent Rich Global Teams
A leading and influential financial institution in the Middle East, the client, established in 1957, is a key financier of national infrastructure projects and a strategic partner in achieving the nation’s Vision 2030 goals. With a workforce of over 7,500 employees, the bank provides a comprehensive range of financial products and services for retail, corporate, and SMEs, all compliant with Islamic Sharia principles.
They are distinguished financiers of syndicated loans for critical national infrastructure projects, particularly within the oil and petrochemical industries.
To sustain its leadership, the bank embarked on an ambitious technology transformation, aiming to embed advanced AI and next-generation capabilities across its extensive operations.
Business Challenge
To realize this vision, the bank needed to rapidly build a specialized, agile, and scalable engineering workforce. They faced significant hurdles, including:
- Complex Global Compliance (adhering to MENA laws, ISO standards, and GDPR) without establishing local entities.
- Fragmented Global Operations.
- Ultra-fast hiring SLAs for niche talent (Java, Cloud, AI specialists).
The Solution
CodeNinja delivered a comprehensive staff augmentation model structured around four core pillars to build a future-ready engineering force. This involved:
- Establishing a dual-shore team (60% offshore in Pakistan, 40% onshore in the Middle East).
- Providing secure, ISO-certified workplace infrastructure (ISO 27001 & 9000).
- Serving as the Official Employer for all engineers, managing all legal, HR, and payroll complexities.
Measurable Outcomes
The strategic implementation delivered significant, tangible value:
- 4-hour candidate lock-in, with full onboarding completed within 48 hours.
- 100% operational readiness and 100% compliance maintained.
- 30% reduction in project kick-off times due to immediate talent availability.
- Projected user base growth from 1.1M to 1.5M, driven by platform optimization.