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Wise

Low-cost international money transfers with API

Group Compliance Monitoring & Data Senior Manager

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, India₹4.4M - ₹6.8M /yrIn-person

About the Job

Requirements

  • Advanced SQL and strong data-modelling skills, with evidence of personally delivering reliable analytical models, pipelines and reporting used in operational decisions.
  • Substantial hands-on experience with dbt or equivalent transformation frameworks, orchestration such as Airflow, and a cloud data warehouse such as Snowflake, with ability to work effectively across the target stack, including Lightdash.
  • Experience establishing or materially improving an analytics repository and delivery process, including GitHub collaboration, testing, review, deployment and documentation.
  • Technical depth in data quality, troubleshooting and performance, with the ability to explain design choices and their consequences rather than relying on tool familiarity alone.
  • A track record of taking ambiguous business problems through to implementation, setting priorities and influencing technical and non-technical stakeholders without relying on reporting-line authority.
  • Strong analytical judgement: defining meaningful metrics, validating evidence and communicating findings and limitations clearly.
  • Applied knowledge of AI-assisted analytics, agent harnesses and agentic development workflows, including how to verify outputs and use them responsibly in a collaborative environment.

Responsibilities

  • Design and establish the Core Compliance repository and analytics delivery setup, working with Engineering and analytics partners on the use of dbt, Airflow, Snowflake and Lightdash within the existing Wise environment.
  • Make and document design decisions for models, transformations, orchestration and reporting, including source selection, data grain, keys, historical changes, refresh dependencies and recovery behaviour.
  • Establish GitHub development and review practices, automated checks, release procedures, access arrangements and documentation aligned with wider standards, ensuring the setup can support multiple use cases and be maintained by others.
  • Agree the interfaces, dependencies and support responsibilities with the teams that own shared infrastructure and upstream datasets.
  • Write SQL and dbt models, implement workflow orchestration in Airflow, and build reporting in Lightdash on Snowflake for systems and tools within the Core Compliance remit.
  • Take work through discovery, design, implementation, validation, release and ongoing improvement, exercising technical judgement on when to reuse an existing capability, extend a local model or coordinate an upstream change.
  • Address practical engineering concerns such as incremental processing, historical accuracy, duplicate or late data, safe reprocessing and query performance where they affect the use case.
  • Define and implement checks for completeness, accuracy, freshness and reconciliation, together with actionable failure notifications and documented recovery procedures for the components owned by Core Compliance.
  • Investigate issues through the data flow, resolve defects within the role's ownership and work with upstream owners on source or platform issues.
  • Create ad hoc analysis, reports, dashboards and metrics across CCSDE and CMT, connecting the output to the monitoring, oversight or operational decision it needs to support.
  • Translate process concepts such as reporting deadlines, ownership, workflow status, ageing and completion into explicit metric definitions and data models, accounting for exceptions and changes over time.
  • Validate analytical results against source records, explain material limitations and ensure colleagues can understand and use the outputs with confidence.
  • Establish reusable definitions and reporting assets where needs recur, with documented lineage, ownership and quality expectations, while retaining the ability to answer new questions quickly through focused analysis.
  • Identify the most valuable gaps in Core Compliance's monitoring and reporting capability and develop a prioritised delivery roadmap with the relevant leads.
  • Act as the principal Core Compliance contact on analytics issues, bringing the technical understanding needed to establish scope, resolve unclear ownership and agree implementation approaches with partner teams.
  • Drive dependencies and cross-team decisions through to delivery, making trade-offs between immediate analytical needs, maintainability and partner capacity, and communicating their implications clearly.
  • Coordinate updates and implementations owned by other teams while remaining accountable for defining the Core Compliance need and validating that the resulting capability meets it.
  • Use approved AI tools and agent harnesses in analytics and development workflows, including SQL and dbt development, test generation, documentation, data investigation and review.
  • Develop useful GitHub-based working practices and agentic workflows that improve delivery speed and consistency, with clear review, testing and access boundaries.
  • Evaluate generated code and analytical outputs against source data and expected behaviour, assess the practical benefit of these workflows and share effective approaches with colleagues.

Desired Qualifications

  • Experience with Core Compliance, monitoring and testing, regulatory reporting workflows, or incident and breach management.
  • Familiarity with data products that support controls, evidence, retention and access requirements.
  • Financial Crime experience where relevant to the work.

About the Company

Wise

Low-cost international money transfers with API

Wise enables international money transfers with lower fees by using a peer-to-peer model to match transfers across borders. It offers a multi-currency account for holding and managing money in different currencies and provides an API for businesses to integrate Wise transfers into their platforms. Unlike traditional banks that charge higher fees and poor exchange rates, Wise uses transparent, small-per-transaction fees and real-time exchange rates to reduce costs. Its approach differentiates it from competitors by emphasizing simplicity, cost transparency, and a broad API for business integration. The goal is to make cross-border payments cheaper, faster, and more transparent for individuals and businesses around the world.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
2011

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