You will build and implement a new banking platform using modern software development practices and cutting-edge technology. You will translate complex business requirements into clean, testable code while collaborating with a team to process millions of transactions.
Design, build, and evolve business-critical services for the trading platform using Kotlin, Java, and Spring Boot. Collaborate with cross-functional teams to translate complex trading processes into resilient software models and APIs.
Lead end-to-end IT projects from initial concept through to deployment while managing cross-functional teams and project plans. Ensure all initiatives comply with banking regulations and data privacy standards while maintaining clear communication with executive leadership.
You will design and implement scalable, performant, and cost-efficient infrastructure solutions while fostering a DevOps culture across development teams. This involves managing monitoring best practices, conducting chaos engineering experiments, and developing internal tooling to support service reliability.
Lead the client service team through the entire employee lifecycle, from hiring and onboarding to performance evaluation and development. Drive operational excellence by translating KPIs into goals and improving service quality through targeted coaching and process optimization.
Lead the functional definition and technical implementation of a new end-to-end Anti Financial Crime tooling ecosystem. Collaborate with AML and AFC operations to ensure all product launches are resilient against financial crime attack vectors.
Build and evolve business-critical clearing and settlement services using Kotlin, Java, and Spring Boot within a cloud-native AWS environment. Take ownership of the full lifecycle from idea to production, ensuring resilient and compliant financial workflows.
Manage the end-to-end preparation and submission of regulatory reports while ensuring compliance with new requirements. Lead process automation and data quality improvements in collaboration with software engineers and act as a point of contact for auditors and regulators.
Lead a new team of AI Software and Platform Engineers to transition AI concepts into scalable, production-grade backend systems. Drive the end-to-end implementation of AI use cases and shape the internal AI platform for secure and cost-effective model access.
Build and run agentic AI features and a unified chatbot experience within the Data Science & AI tribe. Lead technical conversations and architecture decisions to create scalable foundations for AI-powered financial products.
Build and run agentic AI features and a unified chatbot experience within the Data Science & AI tribe. Lead technical conversations and architecture decisions to create scalable foundations for AI-powered financial products.
Develop and maintain AI-powered agentic features, including a CLI, MCP server, and unified chat experience for a neo-broker platform. Lead technical conversations and contribute to architecture decisions to ensure scalable and secure software foundations.
Take ownership of the full audit lifecycle within IT and ISMS domains, from planning and execution to reporting and remediation tracking. Collaborate with Operations, Product, and Engineering teams to optimize internal audit methodologies in a FinTech environment.
Take ownership of the full audit lifecycle within IT and ISMS domains, from planning and execution to reporting and remediation tracking. Collaborate with Operations, Product, and Engineering teams to optimize internal audit methodologies in a FinTech environment.
Develop and maintain a fast-growing neo-broker platform using modern software development practices. Collaborate within a cross-functional team to expand broker business offerings and implement cloud-based infrastructure.
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Ensure AI integrations are secure, performant, and cost-effective while implementing observability and governance systems.
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Ensure AI integrations are secure, performant, and cost-effective while implementing observability and governance systems.
Design and implement secure, scalable cloud building blocks and automation tooling to enable rapid software delivery. Collaborate with cross-functional teams to optimize microservices performance, security, and cost-efficiency while mentoring developers in a DevOps culture.
Drive the development of tax-related client experiences and internal tooling to ensure compliance and intuitive user interfaces. Manage the end-to-end product lifecycle from discovery to launch, focusing on client tax master data and internal enablement workflows.
Manage the end-to-end triage and investigation of potential fraud cases in real-time with high accuracy. Identify operational gaps and collaborate cross-functionally to improve detection and prevention strategies.
