Top Fintech Data Science Jobs

The Applied Scientist will develop quantitative models for decision-making under uncertainty, focusing on pricing, demand modeling, and optimization. They will collaborate with various teams to implement these models in production processes.

The Applied Scientist will focus on developing quantitative models, optimizing decision-making processes, and enhancing pricing strategies using advanced statistical methods and coding in Python.

This role involves leading data science projects, developing machine learning models, collaborating with stakeholders, and mentoring other data scientists.

The Credit Strategy Lead will analyze data to propose credit risk strategies for lending products, collaborate with teams to drive revenue, and develop innovative risk management approaches.

As a Data Scientist, you will develop machine learning models, partner with cross-functional teams, and leverage technologies to provide insights from data for business applications.

The Senior Manager, Data Science will lead a team to utilize machine learning and data analysis to enhance customer experiences and drive product innovation at Capital One.

As a Data Scientist, you'll develop analytic solutions, lead client engagements, create predictive models, and deliver insights for TransUnion's clients. You'll also work with cross-functional teams and clients, enhancing business initiatives in various industries.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Data Scientist will evaluate new data sources, enhance model governance, develop analytical tools, and collaborate with teams to support decision-making and operational efficiency.

The Data Scientist will design, build, and deploy machine learning solutions for automating claims adjudication in pet insurance, collaborating across teams, ensuring production readiness and ongoing optimization.

As a Data Scientist, you will validate credit risk models, prepare reports, assist analysts, monitor performance, and support automated model training processes. Strong programming and statistical analysis skills are essential.

The Senior Data Scientist will develop advanced analytics and machine learning models, optimize ETL pipelines, and collaborate with business partners for data-driven solutions.