Full Job Description
Job Summary:
The Capital Markets SME / Solution Architect will leverage 15+ years of experience in capital markets, financial services, and enterprise solution architecture to design and deliver scalable technology solutions. The role requires deep domain expertise in OTC derivatives, foreign exchange (FX), commercial lending, corporate banking, trading platforms, and regulatory reporting. The professional will provide architectural guidance across enterprise applications, integrations, data platforms, cloud infrastructure, and AI-driven solutions while ensuring alignment with business and technical requirements.
Required Qualifications:
• 15+ years of experience in capital markets, financial services, solution architecture, or related technology domains.
• Strong knowledge of OTC derivatives and FX products, including swaps, forwards, and Non-Deliverable Forwards (NDFs).
• Experience with commercial lending and corporate banking, including Asset-Based Lending (ABL), revolvers, and Client 360 solutions.
• Experience with the Calypso platform, particularly Interest Rate Derivatives, Enterprise Risk, and UMR.
• Experience with ION / Wallstreet FX, including settlement queues, NTS, and SWIFT.
• Knowledge of Salesforce Financial Services Cloud (FSC) and DealCloud.
• Experience with regulatory reporting platforms and frameworks, including Cappitech, DTCC/GTR, CFTC/Dodd-Frank, and EMIR.
• Strong experience with Java and Spring Boot.
• Experience with Apache Kafka for event-driven architecture and messaging.
• Experience with Snowflake, including zero-copy data sharing and semantic layers.
• Experience with MongoDB, including sharding and caching.
• Hands-on experience with AWS and EKS, including Kubernetes containerization.
• Experience with Terraform for infrastructure provisioning and automation.
• Experience with React.js for frontend development.
• Knowledge of LLM orchestration frameworks and platforms, including AWS Bedrock, LangChain, and LlamaIndex.
• Understanding of Model Context Protocol (MCP) and its application in AI integrations.
