Portfolio Manager, Passive Equity

Schwab Asset Management (SAM), one of the industry’s largest and most experienced asset managers, offers a focused lineup of competitively priced investment solutions designed to meet the evolving needs of investors. By operating through our clients’ perspective and putting them at the center of every decision, we strive to deliver exceptional experiences and long-term value.

SAM is building a suite of options-based strategies designed to help clients generate income, manage risk, and diversify portfolios in a tax-aware manner. As a Portfolio Manager, Option Overlay Strategies, you will play a key role in designing, testing, implementing, and managing these strategies. You will partner across investment, trading, technology, and product teams to build scalable solutions that enhance client outcomes.

• →Partner with senior portfolio leadership to design, test, and implement option overlay strategies
• →Identify and assess risks within strategies and implement controls to mitigate exposure
• →Conduct rigorous quantitative analysis and back-testing using financial data platforms
• →Translate complex data into clear, actionable insights for stakeholders
• →Collaborate cross-functionally with trading, technology, operations, and product teams to build scalable infrastructure
• →Support ongoing strategy execution and continuous improvement of investment processes
• →Contribute to the development of client-facing and internal materials

We are seeking a collaborative and analytically driven professional who is passionate about financial markets, options strategies, and continuous learning. You bring a combination of technical expertise, intellectual curiosity, and the ability to translate data into meaningful investment insights.

• Bachelor’s degree in a quantitative discipline (e.g., finance, financial engineering, computer science, applied mathematics, or related field)
• 5+ years experience managing, developing or back-testing equity derivative or options-based strategies
• Proficiency in Python (including libraries such as Pandas and NumPy), SQL, and Excel
• Demonstrated experience applying quantitative and statistical techniques (e.g., regression analysis, time series analysis)
• Strong analytical thinking and problem-solving skills with the ability to evaluate complex data sets
• Effective written and verbal communication skills with the ability to present insights clearly to diverse stakeholders
• Ability to manage multiple priorities in a fast-paced, collaborative environment
• Demonstrated accountability, sound judgment, and ownership of outcomes

• Advanced degree in a quantitative field or CFA designation
• Experience with financial data platforms such as Bloomberg, FactSet, or similar tools
• Familiarity with options theory, pricing models, and risk exposures (e.g., Greeks)
• Experience working in a matrixed or cross-functional organization
• Exposure to portfolio construction, trading systems, or investment technology platforms

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