Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
Create a weekly report to send to the Info Systems Project Management team to assist them in reviewing incidents to determine what events have occurred that may be operational losses.
Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
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Security Framework Alignment: Oversee the definition and maintenance of the Bank’s technical security standards, ensuring strict alignment with industry frameworks (e.g., NIST, PCI-DSS, ISO/IEC 27001, SOC 2, CIS Benchmarks).
Policy & Standard Engineering: Guide the review and updating of technical security policies, baselines, and procedures for Web Application Firewalls (WAF), Web Proxies, Enterprise VPNs, Network Access Control (NAC) systems (Cisco ISE), and related perimeter devices.
Audit & Compliance Remediation: Lead technical readiness for internal, external, and regulatory audits. Drive team execution to track, prioritize, and validate the remediation of security findings and vulnerabilities across business units.
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Catching up with and responding to changes in the external environment that are updated annually (e.g., responding to new versions of iOS/Android OS and policy changes).
Development that focuses on the perspectives of both developers and end users.
HTML/CSS coding for entertainment content (primarily consumer games) and websites
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Develop AI agents capable of supporting tasks such as information retrieval, data processing, reporting, customer or internal support, and workflow coordination.
Translate business requirements and operational challenges into practical AI and automation solutions.
Develop and maintain automation scripts, integrations, and tools using Python, SQL, APIs, and other relevant technologies.
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Provide expert guidance on problem framing, data preparation, feature engineering, algorithm and model selection, experimental design, validation, explainability and performance trade-offs.
Design and review architectures for machine learning, forecasting, optimisation, generative AI, retrieval-augmented generation and agentic AI, selecting approaches based on accuracy, latency, scalability, maintainability, risk and cost.
Lead solutions from proof of concept to production, covering data pipelines, APIs, MLOps/LLMOps, versioning, CI/CD, observability, retraining, rollback, security and enterprise integration.
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