Top Fintech Data Engineer Jobs

The position involves developing algorithms for portfolio management, compliance, and financial market research while collaborating with various teams.

The Staff Machine Learning Engineer will build and maintain ML/AI infrastructure, provide technical leadership, and collaborate with teams to deliver production-grade ML solutions.

As a Software Engineer on the Data Engineering team, you'll develop and maintain systems for managing data, build pipelines and mentor junior engineers while collaborating across departments.

This program recruits PhD graduates for internships and full-time roles, focusing on applying AI and computer science to impactful technology solutions.

Develop and optimize ML algorithms for fraud detection, risk modeling, and personalized experiences by leveraging large datasets and modern modeling techniques. Collaborate with engineering teams for deployment and monitoring.

The Analytics Engineer will create and maintain data models, collaborate with stakeholders, build ETL pipelines, and ensure data integrity.

The role involves designing complex physics problems, verifying solutions, scaling difficulty, and ensuring real-world relevance for training AI models.

The role involves developing and maintaining data infrastructure, optimizing data pipelines, ensuring data quality, and supporting data applications and warehousing solutions.

Responsible for building and modernizing data science tools and assets, writing analytics software, and guiding data scientists in best practices.

Interns will gain hands-on experience in blockchain infrastructure, support deal flow, and engage in business development activities.