Sr Manager, Risk Analystics/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).

Schwab's Margin and Trade Risk Modeling team builds the quantitative models, analytics libraries, and risk tools that power the firm's derivatives margining and options risk infrastructure. We develop and maintain production-grade pricing engines, volatility surface models, margin calculation systems, and portfolio risk analyzers — operating as a second line of defense to independently measure and validate risk across equities, futures, and options. Our team blends financial engineering rigor with modern software development practices and quantitative research, delivering solutions in Java, Python, R, and C# that serve both internal risk stakeholders and downstream production systems. In this role, you will contribute to the development of quantitative risk models and high-performance analytics tools used across the enterprise. This is an individual contributor role.

What you'll do:

• Build and maintain quantitative libraries for derivatives pricing, Greeks calculation, volatility surface construction, and margin computation using models such as Black-Scholes, Bjerksund-Stensland, SVI, and CME SPAN2
• Design desktop and server-side risk computation and visualization tools that compute risk metrics including max loss, break-even levels, and sensitivity analysis
• Build data pipelines and risk infrastructure — ingesting positions, margin data, and market data from upstream systems; developing stress-testing engines, monitoring dashboards, and firm-wide exposure aggregation
• Optimize performance-critical code, maintain CI/CD pipelines, write comprehensive tests, and produce model documentation for internal review and audit
• Present quantitative findings and model validation outcomes to management and risk stakeholders; collaborate with downstream library consumers on version compatibility and adoption

What you have

To ensure that we fulfill our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.

We don't expect any single candidate to check every box — strength in a many of these areas combined with curiosity about the rest is what we're looking for.

Qualifications: 

• Postgraduate degree in a quantitative discipline (financial engineering, mathematics, physics, computer science, statistics, or related field)
• Experience with options pricing theory (Black-Scholes Greeks, implied volatility, volatility surfaces) and/or derivatives margining concepts (SPAN, portfolio risk scenarios, value-at-risk)
• Strong programming skills in at least two of Java, Python, R, or C#, with experience building libraries, managing builds, and writing tests
• Data analysis and pipeline experience — parsing, transforming, and validating large structured financial datasets, ideally across multiple upstream sources
• Strong communication skills and the ability to produce technical documentation for model validation and audit
• Self-directed problem-solver comfortable working with minimal oversight; genuine interest in extending or developing new risk models

Beneficial to Have Already:

• Familiarity with specific risk methodologies — CME SPAN2, SVI calibration, factor decomposition models (Barra, Axioma), or numerical optimization techniques
• Experience with development and performance tooling: JMH benchmarking, JVM tuning, GitHub Actions CI/CD, PyInstaller, or Gradle builds
• Experience building desktop GUI applications (Java Swing, Tkinter, or similar) for data visualization
• Familiarity with cloud platforms (Google Cloud, BigQuery), enterprise data warehouses, or risk infrastructure such as stress-testing engines and margin monitoring systems
• Knowledge of instrument symbology (CME product codes, position formats), cryptocurrencies, or fraud detection

In addition to the salary range, this role is also eligible for bonus or incentive opportunities