Top Fintech Data & Analytics Jobs

The Data Scientist Summer Intern will build predictive models, use advanced analytics to assess consumer behavior, establish performance metrics, and design A/B tests.

The AI Engineer will develop and deploy AI solutions, lead machine learning initiatives, mentor juniors, and collaborate with engineers to solve complex data problems.

Lead the design and optimization of ELT/ETL pipelines, ensuring data quality and scalability while mentoring junior developers and collaborating across teams.

Develop and refine self-adaptive machine learning models for trading systems, collaborating with engineers to deploy solutions and improve performance. Embrace marketplace uncertainty to enhance decision-making processes.

Quantitative Researchers develop models for financial markets using statistical techniques, analyze datasets, and collaborate with engineering teams to implement strategies.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

The Senior Financial Analyst will evaluate financial feasibility, develop revenue forecasts, analyze performance metrics, and provide guidance for product pricing and growth.

As Lead Analyst, you will analyze portfolio risk, report on pricing strategies, monitor performance data models, and collaborate on new business strategies.

The CSC Data Analyst at Simply Business provides analytical insights to support the Customer Solutions Center's operations, improving performance and decision-making via data reporting and analytics, while leveraging AI and collaboration with stakeholders.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Senior Risk Analyst will support analytics and operations, focusing on partner integrations, performance monitoring, and data analysis to optimize the lending marketplace platform.

The role involves developing and implementing machine learning solutions for risk management, collaborating with cross-functional teams to ensure a balance between financial and customer needs.