Jobs at Experian

The Client Due Diligence Specialist will manage vendor and client due diligence processes including financial and legal reviews, documentation validation, KYC checks, and interdepartmental coordination to ensure compliance and improve onboarding efficiencies.

The Sr. Manager of Revenue Operations will oversee membership revenue lifecycle, ensure fee collection, maintain operational compliance, and handle governance and regulatory documentation.

The Client Due Diligence Specialist supports client onboarding by conducting due diligence on financial and legal documents, performing KYC checks, and coordinating with stakeholders. Responsibilities include analyzing financial statements, maintaining compliance, and improving processes for efficient credentialing.

Lead the Fraud and ID Verification Solutions team, engage clients, oversee onboarding, drive market strategy and product innovation in financial services.

Plan, execute and lead risk-based internal audits across business, product and IT processes. Perform scoping, fieldwork, control testing and reporting; prepare audit programs and checklists; present findings and actionable recommendations to senior management; track remediation; support investigations and special assignments; and identify gaps and process improvements related to credit risk, underwriting and operations.

Lead local product strategy and delivery for enterprise SaaS decisioning and workflow platforms. Translate market and client needs into PRDs, act as SME on decision engines and model execution, support API integrations, cloud migrations, hybrid deployments, and analytical sandboxes. Coordinate regional/global roadmap alignment, product governance, go‑to‑market readiness, and post‑launch adoption tracking. Engage clients for validation, demos, and requirements gathering.

The DI Analyst will analyze large datasets, develop dashboards, optimize data models, and support business planning with insights and recommendations, along with mentoring junior analysts.

As a Product Manager, you will oversee existing solutions, aid in product design, liaise with various teams, and conduct market analysis.

Lead procurement for low-to-medium risk/spend categories, manage RFXs/auctions/contracts using Ariba, drive cost savings, negotiate supplier terms, monitor supplier performance, provide market insight and data analysis, standardize procurement practices and support APAC procurement objectives.

This role focuses on enhancing customer engagement by increasing database size, improving data quality, and managing relations with financial institutions. Responsibilities include conducting workshops, managing case studies, and ensuring compliance with regulations.

The Data Modeler II will focus on applying data mining and statistical analysis to develop predictive models and support business teams, ensuring high-quality analytical services to clients.

Oversee accounting operations focusing on tax compliance, reporting, internal controls, and strategic insights for financial decisions, while liaising with auditors and managing financial data analysis.

The Senior Data Modeler will utilize machine learning and statistical analysis to improve data modeling processes and support product development, ensuring quality insights for clients.

The role involves planning and executing risk-based IT audits, assessing controls, managing audit activities, providing recommendations, and ensuring compliance with best practices.

Responsible for planning and executing risk-based internal audits for IT, evaluating controls, documenting findings, and ensuring compliance with best practices.

The Head of Client Due Diligence will lead the team for client onboarding and compliance, focusing on operational excellence and risk oversight across processes.

The GenAI Product Lead will drive product strategy and execution for AI-enhanced offerings, ensuring commercial success across EMAP by embedding Generative AI capabilities and managing cross-functional collaborations.

Manage data ingestion processes, enhance data quality, coordinate with stakeholders, and drive automation initiatives to improve operational efficiency.

The Data Management Analyst will analyze datasets, develop dashboards, optimize data models, support business planning, ensure data integrity, and present insights to management.

The role involves leading product development and management, achieving revenue targets, building product roadmaps, and collaborating with sales and marketing teams.