Lead Data Analyst - FinCrime Operations Wise London, GB Data & AI 2d ago check more →

Neobankbeat

Greater London

Híbrido

GBP 90.000 - 140.000

Tempo integral

Há 7 dias
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Resumo da vaga

Wise is seeking a Lead Data Analyst for FinCrime Operations in London. You will partner with operational teams to drive data-driven decisions, scale analytics, and optimise the FinCrime function.

The role emphasizes collaboration with workforce management, quality, training, and knowledge management to deliver real improvements. The position involves owning analytical models, data pipelines, forecasting, and strategic analyses to assess operational health, costs, and customer impact.

Responsabilidades

  • Analytical Capacity Planning and Forecasting.
  • Data Pipeline Ownership.
  • Predictive Modeling and Cause and Effect Analysis.
  • Strategic Support and Analysis.
  • Performance Tracking and Initiative Optimisation.
  • KPI Implementation and Target Setting.
  • Stakeholder Collaboration and Process Standardisation.

Descrição da vaga

data & ai · Wise# Lead Data Analyst - FinCrime OperationsLondon, GBData & AIHybridposted 2d agoWe’re looking for an Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As an Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale.Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.### THE ROLEWe’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale.Most importantly, you’ll collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management, to bring your insights into real change for our customers and help drive our mission!### Here’s how you’ll be contributing* Analytical Capacity Planning and Forecasting. Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands.* Data Pipeline Ownership. Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy.* Predictive Modeling and Cause and Effect Analysis. Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning.* Strategic Support and Analysis. Provide critical insights to assess the operational health of FinCrime function, conduct in-depth cost analysis, and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences.* Performance Tracking and Initiative Optimisation. Monitor and track the performance of key strategic initiatives, capitalising on optimisation opportunities to enhance operational outcomes.* KPI Implementation and Target Setting. Lead the development and implementation of the operations KPI tree and the target-setting framework, integrating these within reporting pipelines and strategic operations.* Stakeholder Collaboration and Process Standardisation. Collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations, promoting continuous improvement and strategic alignment.
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