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Salary
$152k – $198k per year
Location
In office (London)
Seniority
Principal

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Aug 27, 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

About The Team

The Global KYC and Onboarding squad works to make onboarding into Wise safe, compliant, efficient, and scalable. Within that squad, Wise Platform Verification focuses on verification for Wise Platform partners and their customers.

Wise Platform Verification supports customers who access Wise through our partners. The domain spans different partner models, markets and operational routes. Parts of it are still difficult to measure and rely on fragmented or manual processes. This role will help the team build a reliable view of performance, identify the highest-value problems and establish better ways of working. When these flows are unclear or manual, partners can face delays, customers can hit avoidable friction, operations teams carry unnecessary work, and controls become harder to audit.

The team is building a more scalable verification model for Wise Platform: explicit requirements, better control monitoring, clearer operational flows, stronger automation, and partner-ready processes that can grow with Wise Platform.

About The Role

We are looking for an Implementation Manager to bring analytical rigour and process discipline to Wise Platform Verification. You will use data to understand how verification works across partners, identify the biggest sources of friction and operational cost, and lead improvements from diagnosis through implementation and measurement.

Your mission is to turn complex partner-verification problems into measurable implementation plans, trusted metrics, clear operating models, repeatable rollout playbooks, and automation opportunities. You will work across Product, Engineering, Analytics, Product Compliance, Risk, Partner Due Diligence and Operations teams, regional teams, and partner-facing teams to make sure verification changes launch safely, work operationally, and are measured after release.

This is not a coordinator-only role. You will create structure where it does not exist yet: map processes, define KPIs, identify root causes, challenge data quality, build launch scorecards, design operating cadences, and help move manual workflows toward automation.

What you will own

  • Map Wise Platform verification processes end to end, including partner models, control triggers, evidence flows, operational routing, RFIs, exceptions, and recovery paths.

  • Identify process and automation opportunities that reduce manual review, avoidable partner RFIs, misrouting, operational rework, and partner/customer disruption.

  • Define implementation plans for high-priority verification changes, including scope, owners, milestones, risks, launch gates, runbooks, training, adoption, monitoring, and escalation paths.

  • Build trusted KPI definitions, dashboards, launch scorecards, and weekly/monthly performance narratives that help the team make decisions.

  • Partner with Analytics and Data Science to validate data quality, segment impact, size populations, measure outcomes, and distinguish true performance changes from reporting or process artifacts.

  • Partner with Engineering to turn operational needs into implementable requirements while understanding technical constraints, dependencies, rollout paths, and migration risks.

  • Partner with Product Compliance, Risk, and Ops to make sure process changes meet control objectives, remain auditable, and work for the teams reviewing cases.

  • Support automation and process migration work, including moving fragile manual processes and legacy workflows toward scalable product or platform patterns.

  • Lead root-cause analysis for operational issues and partner-impacting verification pain points, then track fixes to closure and prevent recurrence through standards, monitoring, and documentation.

What success looks like in the first 6-12 months:

  • WPV has clearer process maps and ownership for the highest-impact partner verification workflows.

  • High-priority process changes launch with implementation plans, metrics, launch gates, runbooks, monitoring, and adoption tracking.

  • Manual review and partner RFI pain points are sized, prioritised, and converted into a practical automation or process-improvement backlog.

  • Partner Due Diligence, Operations, and partner-facing teams have clearer routing, context, escalation paths, and feedback loops.

  • The team can trust its core operating metrics and use them for prioritisation, launch readiness, and post-launch learning.

  • Operational incidents and recurring process issues lead to documented root causes, owners, fixes, and prevention mechanisms.

  • Legacy process or service ownership issues are mapped and sequenced with clear migration or handover plans.

This role gives you the opportunity to:

  • Work on one of the most important scaling problems for Wise Platform.

  • Build the operating system for partner verification across product, engineering, compliance, risk, data, and operations.

  • Improve how partners and their customers move through verification, while keeping controls robust and auditable.

  • Turn manual and fragmented workflows into measurable, repeatable, automatable processes.

  • Become an expert in partner verification, operational automation, risk controls, and platform-scale implementation.

Qualifications

What we are looking for:

  • You have substantial experience in product analytics, data science, quantitative strategy or consulting, and have used analysis to change how a product or process works.

  • You are hands-on with SQL and comfortable working through imperfect operational data. You can define the unit of analysis, choose cohorts and denominators, validate data sources, size problems and explain uncertainty.

  • You can map complex processes, identify bottlenecks and failure modes, and determine which changes are likely to have the greatest impact.

  • You have led change across Product, Engineering, Data, Operations and Risk or Compliance teams - not only produced analysis or recommendations.

  • You are strong at structured problem solving and can turn ambiguity into clear plans, metrics, decisions, and follow-through.

  • You are comfortable working with data and SQL. You can define useful KPIs, choose denominators and time windows, segment intelligently, and explain limitations.

  • You have led complex cross-functional implementations involving technical, operational, risk, compliance, data, or partner stakeholders.

  • You can distinguish between a process problem, a policy problem, a data problem, and a product or engineering problem.

  • You write clearly and can create documentation that helps teams make decisions and execute.

  • You can influence without formal authority and stay calm when priorities, requirements, or ownership are unclear.

Strong additional signals

  • Experience in fintech or another regulated, operationally complex industry is useful, but not required. We care more about analytical depth, sound judgement and evidence that you have made complex processes work better.

  • Experience with partner integrations, platform businesses, API-led operations, or B2B2x workflows.

  • Experience improving operations through automation, workflow redesign, routing, dashboards, internal tooling, AI/LLM-assisted processes, or data-quality improvements.

  • Experience with control monitoring, operational QA, assurance, incident analysis, remediation, or audit-ready documentation.

  • Experience working with globally distributed teams or multi-market rollout playbooks.

Additional Information

  • Base salary: £115-150K (based on experience & interview outcomes)

  • Restricted Stock Units (RSUs) & a variety of other benefits:Wise Benefits

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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