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Salary
$180k – $254k per year
Location
Hybrid (London, United Kingdom)
Seniority
Architect · 3+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 23, 2026. Modelwise scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Munich, Germany, Modelwise is a deep-tech software company specializing in AI-driven functional safety engineering for complex hardware systems. The platform automates safety analysis and verification tasks, enabling engineers to identify design flaws early and accelerate development cycles. By streamlining compliance workflows, it helps engineering teams across the automotive, aerospace, rail, and industrial automation sectors build safer products faster.

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.

For everyone, everywhere.

More about our mission and what we offer.

Job Description

Role Overview:

Enterprise Risk Analytics at Wise is a critical capability. As we scale, the requirements for data-driven risk management are evolving. We need a talented Analytics Director to build and own our measurement frameworks, infrastructure, and reporting, ensuring audit-ready reporting and shared 1st/2nd line data governance. This role is highly strategic, focused on enabling the business to measure and manage risk across the full spectrum of major fintech risk domains.

What you’ll be doing:

  • Lead the strategy and execution of the Enterprise Risk Analytics roadmap while coaching a high-performing team.

  • Standardise risk metric calculation logic, KRIs/KPIs, and attribution logic while implementing sign-off processes to ensure data integrity.

  • Partner with Data/Engineering to align instrumentation and data models with risk monitoring needs, ensuring reliable pipelines with clear data lineage.

  • Drive insight-to-action loops, quantifying trade-offs between risk reduction, customer impact, and cost.

  • Establish shared governance cadences (metric councils, steering groups) and foster 1st/2nd line collaboration to prevent drift across lines of defence.

  • Provide analytics leadership for Financial, Fincrime, Ops, Resilience, and Reg stakeholders.

Who you are:

  • Proven analytics leadership in a scaled fintech, financial services, or regulated technology environment (3-7 years management experience).

  • Familiarity with control frameworks and LoD models, and how analytics supports assurance and oversight.

  • Demonstrated ability to build cross-domain measurement and reporting, including governance and audit/evidence expectations.

  • Strong stakeholder leadership: able to align and deliver through complex, matrixed organisations-especially across 1st and 2nd line.

  • Experience with risk quantification approaches (scenario drivers, stress-style thinking, trade-off modelling).

  • Track record building durable analytics foundations (pipelines, metric layers, monitoring/quality controls, operating rhythms).

  • High bar for metric integrity, clarity of narrative, and decision-making discipline.

Desirable:

  • Experience with operational resilience and/or technology reliability analytics (incidents, availability, recovery metrics).

Some important stuff we would like you to know:

To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.

What do we offer:

Key benefits:

  • Hybrid working.

  • Paid annual holiday, sick days, parental leave and other leave opportunities.

  • 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave.

Additional Information

For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

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