Top Fintech Data & Analytics Jobs

Lead campaign analytics by monitoring KPIs, diagnosing performance issues, delivering strategic insights, segmenting member data, operationalizing reporting, and partnering with stakeholders to improve marketing campaigns and identify growth opportunities.

Develop, enhance, and support Synchrony’s metadata management and cataloging platform (Ab Initio Metadata Hub). Collaborate with governance, engineering, and analytics stakeholders to ensure metadata quality, lineage, and discoverability; design solutions, implement platform changes, test, document runbooks, and enable cloud and AI/ML metadata use cases.

Analyze transaction data to detect fraud, develop controls and rule-engine logic, automate data workflows, build dashboards and reports, partner with data science on fraud models, monitor model performance, and advise stakeholders on fraud strategy and risk.

Build, operate, and optimize data platforms and pipelines (Snowflake, Azure ESB). Manage ETL, data migrations, ingestion, quality, and analytics tools (Cognos, Tableau). Collaborate with IT and business stakeholders, enforce data governance, support regulatory and cybersecurity requirements, and provide advanced support and system integration for banking APIs.

Own pipeline reporting, revenue forecasting, pricing and deal-analysis frameworks, retention/renewal reporting, and marketing performance analysis. Create automated dashboards, partner with sales and engineering to maintain data pipelines, and present insights to commercial stakeholders to drive revenue growth.

Design, develop, and implement statistical and machine learning models to support decision-making and solve complex problems, leading a team or contributing as an individual.

Design, build, test, deploy, and monitor batch and streaming data pipelines and ETL processes. Evaluate and adopt data technologies (including Adobe Experience Platform and CDPs), collaborate with data scientists, architects, and business partners to ingest and prepare large semi-structured/unstructured datasets for ML training, model execution, and search analytics, and implement automation, documentation, and tooling for scalable analytic data systems.

Lead investment planning and governance for the Data & Analytics division: develop investment roadmaps, run prioritisation frameworks, manage portfolio performance, produce executive reporting, influence senior stakeholders, and drive capital allocation decisions to optimise strategic impact.

The Data Owner manages and validates private market and thematic data, ensuring accuracy for index rebalances. Responsibilities include data quality, collaboration with teams, influencing data standards, and stakeholder engagement.

Lead requirements gathering and stakeholder engagement, analyze business processes and data, document business requirements, support system implementations and process improvements to deliver operational efficiencies for fund administration and middle-office services.