Amazon Web Services

Virtual servers in the cloud with instance types optimized for compute-intensive financial workloads including risk modeling, Monte Carlo simulations, and high-frequency trading engine deployment.

Serverless compute service that runs code in response to events — ideal for financial automation workflows, trade confirmation processing, real-time compliance checks, and API backend for banking applications.

Highly secure, reliable container orchestration service for running financial applications in Docker containers, with integrations for secrets management, service discovery, and auto-scaling.

Managed Kubernetes service for running containerized financial workloads at scale, used by fintechs and banks for microservices-based trading platforms and payment processing systems.

Serverless compute engine for containers that eliminates infrastructure management — suitable for batch processing of financial data, periodic report generation, and event-driven analytics.

Object storage with 99.999999999% durability for financial data lakes, regulatory archives, trade blotter storage, and customer document repositories with S3 Object Lock for compliance retention.

Low-cost archival storage for long-term retention of financial records, trade confirmations, audit logs, and regulatory filings with retrieval times from minutes to hours.

Fully managed file storage accessible from multiple EC2 instances — used for financial modeling workbenches, shared risk analytics datasets, and collaborative research environments.

Hybrid cloud storage service enabling on-premises financial applications to use AWS cloud storage for backup, disaster recovery, and tiered storage of financial data.

Managed relational database service supporting SQL Server, Oracle, PostgreSQL, MySQL, and MariaDB — used for core banking transaction processing, customer account databases, and financial reporting systems.

MySQL and PostgreSQL-compatible relational database with 5x the performance of standard MySQL and 3x the performance of standard PostgreSQL — designed for high-throughput financial transaction workloads.

NoSQL key-value and document database with single-digit millisecond latency — ideal for real-time fraud detection, payment authorization, session management, and customer 360 data at scale.

Cloud data warehouse optimized for financial analytics — running complex queries across terabytes of trade data, customer behavior data, and risk metrics with concurrency scaling for multi-team access.

In-memory caching service for sub-millisecond data retrieval — used for real-time market data caching, session state management for banking portals, and accelerating financial data queries.

Fully managed ML platform for building, training, and deploying machine learning models — used by financial institutions for credit risk modeling, fraud detection, algorithmic trading strategies, and customer lifetime value prediction.

Managed service for building generative AI applications using foundation models from Anthropic, Meta, Mistral, and Amazon — enabling financial institutions to build AI assistants for research, compliance, and customer service.

Image and video analysis service used by financial firms for identity verification, KYC document validation, and fraud prevention through document and facial recognition.

Natural language processing service for extracting insights from unstructured financial text — earnings call transcripts, research reports, regulatory filings, and customer communications.

Time-series forecasting service using ML — applied by financial institutions for cash flow forecasting, loan loss provisioning, revenue prediction, and macroeconomic scenario analysis.

Centralized access control service for managing user permissions and API access to AWS resources — essential for financial compliance, segregation of duties, and least-privilege access policies.

Managed DDoS protection service safeguarding financial applications and trading platforms from network and transport layer attacks — Standard tier included free, Advanced provides 24/7 support.

Fully managed data security service that uses ML to discover, classify, and protect sensitive financial data stored in AWS — PII, account numbers, transaction data, and regulatory documents.

Governance, compliance, and audit logging service that records API activity across AWS infrastructure — providing the audit trail required for SOC, PCI DSS, and internal financial controls.

Threat detection service that continuously monitors AWS accounts and workloads for malicious activity — including compromised credentials, unusual API patterns, and cryptocurrency mining in financial environments.

Managed encryption key creation and control service for encrypting financial data at rest and in transit — with FIPS 140-2 validated HSMs and integrations with AWS services for customer-managed key encryption.

Purpose-built data management service for financial analytics, enabling quantitative researchers and risk analysts to access, prepare, and analyze financial data at scale without managing underlying infrastructure.

Secure collaboration service allowing financial institutions to combine datasets with partners for fraud detection, credit risk assessment, and market analysis while maintaining data privacy and compliance.

Migration and modernization service for moving legacy mainframe workloads — COBOL-based banking systems, policy administration, and claims processing — to cloud-native architectures.