Top Data & Analytics Jobs

Lead analytics for operations (KYC/FinCrime): capacity planning, forecasting, data-pipeline ownership, predictive modeling, operational health and cost analysis, KPI and target-setting, performance tracking, and stakeholder-driven process standardisation to improve customer outcomes.

Partner with APAC Compliance teams to deliver regulatory reporting, compliance monitoring, risk analytics, and assurance reporting. Build scalable data models, dashboards, and self-service analytics tools while validating regulatory submissions and supporting automated monitoring. Maintain data quality, governance, and documentation, and collaborate with Risk, Compliance, Product, and Engineering stakeholders. The role requires strong SQL and data modeling skills, with opportunities to use dbt, modern data warehouses, data engineering tools, and Python.

Lead Compliance analytics for LatAm by building and automating regulatory reports, partnering with Compliance stakeholders, creating advanced SQL-based reporting, developing data pipelines and documentation (dbt/Airflow/GitHub), and driving data-driven monitoring, testing and tooling to improve compliance efficiency and assurance.

Lead analytics for the Financial Crime Platform, partner with product and engineering to build metrics, pipelines, visualisations, and features for fraud/AML risk models, drive discovery and data-driven decisions balancing risk and customer experience.

Drive product decisions for Brazil by owning team KPIs, performing analyses, building data assets, sizing impacts (A/B testing), and partnering with PMs, marketers and engineers to prioritise and measure product improvements and launches.

Lead product-focused risk analytics: design and scale risk data infrastructure, build control frameworks and metrics, partner with product, engineering, risk and compliance to reduce financial crime and ensure regulatory controls are effective.

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

Lead analysis of operational data to support decision-making. Build dashboards and reports, partner with operations stakeholders to identify process improvements, monitor KPIs, and inform strategic initiatives.

Drive product decisions for APAC by deriving insights from large datasets, performing funnel and A/B analysis, defining regional KPIs, mapping user journeys, and partnering with Product, Engineering, and Design to improve conversion, retention, and engagement.

Lead CRM analytics for Personal and Business segments: design measurement frameworks, run campaign and lifecycle analyses, apply A/B and incrementality testing, build segmentation models, maintain dashboards, ensure data quality, and partner with CRM, Product, and Data teams to optimise customer engagement and retention.