Top Tech Jobs & Startup Jobs

The Staff Platform Engineer will design and implement network monitoring solutions, automate environments, and lead teams in developing innovative cloud network solutions. Key responsibilities include maintaining accountability for platform design, guiding technical deliveries, and mentoring other engineers.

The Senior Cyber Operations Engineer will collaborate with cross-functional teams to troubleshoot privileged access management issues, transform and monitor platforms, participate in disaster recovery, and mentor IT professionals. Responsibilities include automation development and maintenance of documentation.

As a Workforce Optimisation Analyst, you will support workforce planning and analytics, create employee records, conduct root cause analysis, and manage scheduling to enhance business performance. You will collaborate with stakeholders to provide planning resources and deliver workforce management information according to deadlines.

As a Senior Technical Data Analyst, you will gather requirements, document processes, and collaborate with stakeholders on AI/ML use cases. You'll convert business needs into functional designs, assess impacts on business processes, and support testing and delivery activities. Your role involves analyzing and documenting business requirements while addressing project delivery issues and recommending process improvements.

The Executive Manager Financial Crime Operations leads a team responsible for managing financial crime risks, focusing on Anti-Money Laundering (AML), Counter Terrorism Financing (CTF), and Sanctions. This role involves strategy execution, people leadership, and ensuring operational excellence while overseeing investigations of financial-related crimes and interactions with regulatory bodies.

The Senior Manager, Commodities Market Risk Oversight is responsible for supporting the implementation and communication of market risk management policies, monitoring market and liquidity risks, and advising the commodities business on risk management strategies. They also coordinate reports, communicate results to stakeholders, and develop risk analysis tools.

As a Data Science Senior Manager, you will design, develop, and deploy AI models primarily in Retail Banking. You will lead a team of data scientists to create innovative AI solutions, utilize machine learning and statistical techniques, and collaborate closely with stakeholders to ensure solutions meet business needs. The role involves mentoring, project ownership from data collection to deployment, and translating complex data insights into business strategies.