Top Fintech Data Science Jobs

The Senior Data Scientist will develop credit risk predictive models, collaborate with engineering, and ensure high-quality data science product deployments while monitoring model performance.

The role involves designing reconciliation systems for financial data, improving anomaly detection, automating processes, and collaborating cross-functionally to enhance data quality and reliability in financial operations.

The role involves applying data science and machine learning techniques to support product strategy, performance evaluation, and customer experience analysis for the Paze product. Key tasks include data exploration, feature engineering, model building, collaboration with cross-functional teams, and communication of findings to non-technical audiences.

In this role, the Data Scientist will create and enhance statistical models and machine learning techniques for actuarial processes, collaborating with business partners to translate model results and drive business value.

The Operations Data Scientist at Kikoff will enhance operational efficiency by analyzing data, developing AI tools, and collaborating with cross-functional teams, focusing on improving customer and agent outcomes.

The Data Scientist develops and supports analytics and machine learning solutions, performs exploratory data analysis, collaborates with product owners, and communicates findings to drive business insights.

The Data Scientist III leads technical projects in analytics, enhancing AML/CTF models, collaborating with cross-functional teams, and driving data-driven solutions.

As a Staff Data Scientist, you will enhance analytics across Flex by developing frameworks, dashboards, and causal analysis to drive strategic business outcomes.

The Data Scientist/ML Engineer will design and deploy ML algorithms, assist federal customers in building applications, and contribute to new feature implementation.

Manage and develop data science models for risk analysis and customer segmentation, lead a team in statistical analysis, and drive innovative solutions.