Top Fintech Data & Analytics Jobs in Seattle, WA

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

The role involves analyzing pricing strategies and customer behavior, building models, and collaborating with teams to enhance profitability through data-driven decisions.

As a Senior Data Analyst, you'll automate data transformation, create visualizations, and enhance data quality while collaborating across teams to improve decision-making.

The Analytics Lead will analyze products, develop strategies based on quantitative data, collaborate with cross-functional teams, and design A/B tests to enhance user experience and drive product growth.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Director of Business Intelligence will lead the BI function, manage a team, and ensure data-driven decisions across the organization while collaborating with various departments.

As a Senior Analyst, you'll gather and analyze requirements, implement process improvements, manage financial reporting in Workday, and mentor junior analysts.

Analyze transaction data to define risk strategies for Embedded Finance, develop analytical models, mentor analysts, and present insights to leadership.

Conduct in-depth investigations of financial crime, manage high-risk cases, and ensure compliance with AML regulations, while leveraging blockchain technology and analytical skills.