Director of Risk Analytics

Overview

In this role you will lead Wise’s Enterprise Risk Analytics, shaping measurement frameworks, data infrastructure, and audit-ready reporting. You’ll enable cross-functional risk visibility and governance across 1st and 2nd lines, partnering with data and engineering to ensure reliable data pipelines and lineage. You drive insight-to-action loops, balancing risk reduction with customer impact and cost. This is a strategic leadership position at scale in a regulated fintech environment, offering the chance to shape how risk is measured and governed across major domains.

Pay / Benefits

• Salary: 135K – 190K
• Company Restricted Stock Units
• Hybrid working
• Paid holiday and sick days
• Parental leave and other leave opportunities
• 6 weeks sabbatical after 4 years

Responsibilities

• Lead the Enterprise Risk Analytics roadmap and develop a high-performing team
• Standardise risk metric calculation logic, KRIs/KPIs, and attribution with sign-off for data integrity
• Partner with Data/Engineering to align instrumentation and data models with risk monitoring needs
• Drive insight-to-action loops to quantify trade-offs between risk reduction, customer impact, and cost
• Establish governance cadences (metric councils, steering groups) and foster 1st/2nd line collaboration
• Provide analytics leadership for Financial, Fincrime, Ops, Resilience, and Reg stakeholders

Key requirements

• Proven analytics leadership in scaled fintech, financial services, or regulated tech (3-7 years management)
• Familiarity with control frameworks and LoD models and how analytics supports assurance and oversight
• Experience building cross-domain measurement and reporting with governance and audit/evidence expectations
• Strong stakeholder leadership to align and deliver across complex, matrixed organisations (1st and 2nd line)
• Experience with risk quantification approaches (scenario drivers, stress-thinking, trade-off modelling)
• Track record building durable analytics foundations (pipelines, metric layers, monitoring, operating rhythms)
• High bar for metric integrity and clear narrative for decision-making

• leadership
• stakeholder management
• cross-functional collaboration
• risk analytics
• data governance
• data pipelines

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