Manager, Risk Analytics/Modeling

Your Opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Corporate Risk Management provides independent risk assessments and helps protect Schwab, its clients, and shareholders through effective models, controls, and technology. As a Software Engineer supporting Financial Crime solutions, you will build reliable software and data capabilities that strengthen real-time risk management processes and improve business outcomes.

You will develop business logic, optimize data pipelines and queries, deploy cloud-native applications, and resolve complex production issues. Working with engineers, architects, quantitative modelers, and business partners, you will use analytical thinking and sound decision making to translate requirements into scalable, maintainable solutions. Success requires adaptability, collaborative problem solving, and the ability to balance multiple priorities while contributing to code reviews, automated testing, technical documentation, and continuous delivery within an Agile environment.

What you'll do:

• Implement business logic supporting risk management process.
• Build and optimize data pipelines and queries using BigQuery
• Deploy and manage applications on Google Cloud Platform
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code following best practices and coding standards
• Participate in code reviews and contribute to technical documentation
• Troubleshoot and resolve technical issues in production environments
• Apply DevOps best practices for CI/CD, automated testing, and cloud resource management.
• Document deployment processes, integration steps, and operational procedures for internal and external review.
• Collaborate with developers, architects, and business partners to ensure seamless integration and performance.
• Contribute to an Agile team, iterating quickly and delivering impactful solutions.

What you have

Required qualifications

• Master's degree in Computer Science or a related field and 3+ years of relevant experience, or bachelor's degree in Computer Science or a related field and 5+ years of relevant experience
• 3+ years of data engineering experience, including SQL and relational database technologies such as Oracle
• 3+ years of experience developing applications with C# and .NET
• Experience developing and deploying cloud-native applications using Google Cloud services
• Experience building data warehousing and analytics solutions with BigQuery
• Experience developing data engineering solutions using Python

Preferred qualifications

• Experience applying DevOps practices, including continuous integration, continuous delivery, automated testing, and cloud resource management
• Experience with Actimize, Oracle, or comparable financial crime prevention platforms
• Knowledge of brokerage operations and related regulatory requirements
• Experience with AWS, Microsoft Azure, or hybrid cloud architectures
• Exposure to business intelligence tools and big data platforms
• Ability to apply Problem Solving, Decision Making, and Analytical Thinking to complex technical and production challenges
• Ability to collaborate across technical and business teams, adapt to changing priorities, and communicate technical information clearly
• Experience producing maintainable code, technical documentation, and operational procedures