Risk Process Innovation Specialist

Job Summary

The Risk Process Innovation Specialist will be a key hire within the newly established Risk Innovation Hub, a strategic team focused on identifying opportunities to enhance how Risk Management operates across the organization. The Hub partners with teams across the Risk function to evaluate and reimagine end-to-end processes, driving improvements in both effectiveness and efficiency while strengthening risk outcomes.

The incumbent will play a key role in driving the transformation of Risk Management processes through innovative thinking, structured analysis, and stakeholder partnership. Working across the Risk organization, the individual will assess end-to-end processes and develop practical recommendations that enhance both operational effectiveness and risk outcomes. While AI and automation will represent a part of approaches, the hub will take a broader view, considering holistic changes to how we work that create the greatest value.

The successful candidate will bring a combination of strong process engineering expertise, innovative thinking, structured problem-solving, and stakeholder influence. They will play a critical role in identifying opportunities to leverage emerging technologies, including AI, to transform how work is performed across the Risk organization. The role will partner closely with leaders across Financial Risk, Operational Risk, Compliance, Technology Risk, and Business Risk functions to shape the future operating model of the Risk function.

Key Responsibilities

• Lead end-to-end analysis and documentation of key Risk Management processes across multiple risk disciplines.
• Constructively review existing ways of working and identify opportunities for process improvements that improve efficiencies and/or Risk outcomes.
• Deliver an innovative perspective, by identifying current and future opportunities to leverage AI, analytics, workflow technologies, and other innovative solutions. In doing so, explore ambitious solutions that go beyond localised use-cases.

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