Integrate applications, APIs, microservices, batch workloads, containers, CI/CD pipelines, and cloud-native platforms with IAM services using secure, automated, and repeatable development patterns, with emphasis on secure API design and implementation.
Collaborating with industry partners on initiatives that explore digital transformation in accounting practice. This is learning alongside students and colleagues, not lecturing from established expertise.
Track remediation of control failures and gaps identified in technology incidents through to sustainable closure, feeding learnings back into controls development
Proactively link themes, concepts, and ideas across asset classes to deliver insightful market analysis with a liquidity and microstructure perspective.
Build and iterate AI prototypes quickly by making use of modern AI and automation tools and work closely with each Data Science squad to validate ideas and accelerate delivery.
Understand customers’ security, compliance and data-protection challenges, and position the solution’s value in business terms (risk reduction, compliance, productivity, cost)
Assist in the design and implementation of risk detection frameworks, leveraging AI and predictive analytics to identify potential AML threats, including risks related to mule accounts and complex financial crime networks.
Translate technical risks into clear business impact and mitigation actions for investment, corporate, risk, and operations stakeholders, with attention to data sensitivity and regulatory obligations
Responsible to solve issues on login access, reset password, apps download, approval problems, technical errors, user guidelines, etc of time attendance & leave system.