Manager, Risk Analytics/Modeling
About The Position
Schwab’s Corporate Risk Management provides independent risk assessments and helps protect the company, its clients, and shareholders through effective models, controls, and technology. This position supports Financial Crime solutions by building reliable software and data capabilities that strengthen real-time risk management processes and improve business outcomes. The role develops business logic, optimizes data pipelines and queries, deploys cloud-native applications, and resolves complex production issues. Working with engineers, architects, quantitative modelers, and business partners, the employee translates requirements into scalable, maintainable solutions. The position contributes to code reviews, automated testing, technical documentation, and continuous delivery within an Agile environment. Schwab states that the selected candidate is expected to work on site in the specified location(s).
Requirements
- Master’s degree in Computer Science or a related field and 3+ years of relevant experience, or a 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.
Nice To Haves
- 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.
Responsibilities
- Implement business logic supporting risk management processes.
- 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 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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
