Top Fintech Data & Analytics Jobs

Develop risk models, conduct exposure analysis, enhance VaR models, monitor risk metrics, partner with trading teams, and present findings to management.

The AVP Product Engineer - AML is responsible for the development and enhancement of AML products, collaborating with compliance and risk teams, and utilizing machine learning for detection of suspicious activities.

As a Data Analyst Intern, you will analyze chatbot performance, enhance knowledge base content, use AI tools for optimization, and support data integration and reporting for customer support efficiency.

The Data Analyst supports data conversion for clients, analyzing and transforming data, ensuring integrity and successful onboarding, and collaborating with teams.

The Sector Lead for Financial Services will oversee channel research projects, ensuring quality and relevance while guiding a team of analysts. Responsibilities include developing questionnaires, managing research workflows, and expanding coverage across financial services sectors.

The Sr. Data Modeler designs and maintains data models, enforces data governance, collaborates with teams, and ensures data quality. Gain insights and optimize performance for analytics and reporting.

The IT Business Analyst will bridge business and technology, leading analysis for initiatives, translating needs into actionable outcomes, and fostering collaboration and continuous improvement within teams.

The Data Analyst role involves analyzing business data, creating reports and dashboards, supporting IT operations, and collaborating with teams to leverage data insights for decision-making.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Develop and maintain Power BI dashboards and reports for Mortgage Warehouse Lending. Analyze business processes, integrate data sources, gather requirements, prepare presentations for senior management, and recommend process improvements to support data-driven decisions and achieve team targets.