Financial Services & Fintech
Empowering financial institutions and fintech innovators with secure, scalable, and compliant cloud solutions to drive digital transformation and competitive advantage.
Key Challenges We Address
Our Specialized Fintech Solutions
Design and implement SOC 2, ISO 27001, and PCI-DSS compliant cloud platforms. We ensure robust infrastructure isolation using multi-layered VPC architectures, enforce granular access control with IAM, and implement policy-as-code (e.g., Open Policy Agent) with continuous runtime risk monitoring for comprehensive security posture management and regulatory adherence.
Develop AI-driven portfolio optimization engines, high-frequency algorithmic trading infrastructure with ultra-low-latency market data feeds (e.g., direct exchange connectivity, multicast UDP), and personalized robo-advisory platforms. Implement real-time risk analytics, including Value-at-Risk (VaR) calculations, stress testing frameworks, and scenario analysis for superior investment decision-making and regulatory capital adequacy.
Engineer cloud-native core banking solutions (e.g., microservices-based ledgers, payment gateways supporting SEPA, SWIFT, FedWire), omnichannel digital experiences (web, mobile, kiosk), and secure Open Banking API gateways (compliant with PSD2/CDR). Implement AI-powered real-time fraud detection (e.g., using graph databases and anomaly detection), automated AML/KYC/KYB solutions, and robust B2B payment and treasury management systems with advanced cash flow forecasting.
Build AI-driven claims processing automation (NLP for document analysis, computer vision for damage assessment), personalized insurance product recommendation engines, and telematics-based Usage-Based Insurance (UBI) platforms. Develop solutions for complex regulatory reporting (e.g., Solvency II, IFRS 17, CCAR/DFAST), leveraging data lakes and AI for efficient data aggregation, calculation, and submission.
Deploy sophisticated AI chat assistants and virtual agents for investment advisory, customer support, and automated compliance checks (e.g., suitability assessments, trade surveillance). Leverage Natural Language Processing (NLP) and Understanding (NLU) for intelligent document processing, regulatory interpretation, and sentiment analysis to enhance customer experience and operational efficiency.
Impact in Action: Fintech Transformations
Discover how our tailored cloud solutions have delivered measurable results and competitive advantages for leading financial institutions and fintech innovators.
High-Frequency Trading Platform
Engineered a high-frequency, low-latency algorithmic trading platform for a quantitative hedge fund, leveraging a co-located Kubernetes cluster with custom FPGA-accelerated market data processing.
Impact: Achieved sub-microsecond tick-to-trade latencies and supported complex order execution strategies across multiple asset classes, resulting in a 12% increase in annualized alpha.
Core Banking Modernization
Architected and deployed a cloud-native, microservices-based core banking modernization solution for a regional retail bank on AWS. This involved migrating legacy mainframe systems to a distributed architecture using Kafka for event sourcing, PostgreSQL for transactional data, and a React-based omnichannel front-end.
Impact: Led to a 60% reduction in operational costs and enabled the launch of new digital products 3x faster than previously possible.
AI Regulatory Reporting Platform
Developed an AI-powered regulatory reporting platform for a global corporate bank, automating the generation of CCAR and DFAST submission packages. The solution utilized NLP to extract data from disparate internal systems, machine learning models for scenario analysis and capital adequacy projections, and a secure portal for regulatory review.
Impact: Reduced report generation time from weeks to days and minimizing manual errors by over 80%.
Dynamic Insurance Pricing Engine
Built a dynamic, AI-driven pricing and underwriting engine for a leading P&C insurance provider. The system integrated telematics data, external risk factors, and historical claims data using a serverless architecture on Azure (Functions, Cosmos DB, Azure ML).
Impact: Enabled personalized policy pricing and improving loss ratios by 7% in the first year of operation while ensuring compliance with fair lending practices.
These successes highlight our commitment to driving innovation and efficiency in the financial sector. Let us help you achieve similar transformative results.
Discuss Your Fintech Project