Top Tech Jobs & Startup Jobs

Lead strategic supplier relationships across a portfolio, driving value creation, performance and risk management, cross-functional collaboration, reporting to senior leadership, and identifying efficiency and automation opportunities.

Lead design and delivery of scalable cloud-first finance platforms, improve data quality and unified data models, drive automation and governance, manage software lifecycle, leverage AI tools, and align technology with business and compliance requirements.

Design, implement, test, deploy and maintain software solutions for compliance use cases. Partner with global stakeholders to build end-to-end systems handling large and real-time data sets, leveraging modern web UI, messaging, APIs, search, and cloud-native platforms. Use AI-assisted development tools to accelerate coding, testing, and code review while ensuring production-grade quality and compliance.

Lead design and build of cloud connectivity products and migrations to public cloud. Architect secure, highly available cloud-native services, integrate on-premises systems, manage full software lifecycle, and collaborate with global teams to enforce governance and best practices.

Support end-to-end Global Markets trade lifecycle (FX, derivatives, bonds) with focus on settlement (JSE Bonds), reconciliations, issue resolution, SOX controls, stakeholder/client support, control evidence, reporting, and process improvement including automation and AI-enabled tools.

Build and operate cloud-native, full-stack payment services on AWS using Java/Spring Boot and Python. Develop React/TypeScript front ends, design RESTful microservices, integrate relational and NoSQL databases, adopt AI-assisted engineering tools, manage CI/CD (GitLab), and mentor engineers in AI-augmented development and SecDevOps practices.

Design and implement GenAI-driven compliance solutions (agentic frameworks, RAG pipelines, embeddings). Fine-tune and evaluate LLMs, build production-ready code, deploy and monitor models, collaborate with compliance and legal stakeholders, and promote ML best practices.

Design, build, productionize, and maintain large-scale ML models and infrastructure using structured and unstructured data. Perform feature engineering, scale models and systems, run experiments, collaborate with researchers, and ensure code quality through reviews.

Perform independent audits of controllers and tax functions to assess controls, identify risks, test remediation, prepare findings, and present conclusions to senior IA and business management. Plan and execute audit scopes, conduct walkthroughs, document results per methodology, and follow up on management remediation.

Lead enterprise risk activities including risk identification, appetite and limits calibration, stress testing, capital planning, and strategic risk analysis. Partner with businesses and risk teams to align plans with firm strategy, deliver quantitative, data-driven insights to senior leadership and the Board, and drive cross-functional risk initiatives and framework enhancements.