Manager - Securities Lending Quantitative Modeler

About the role

Join the Product Modeling team within the Treasury Modeling department at Schwab. As a Manager (AI & Data Science), you will be dedicated to the Securities Lending trading desk, focusing on data-driven deposit, margin, and securities lending/borrowing analytics.

Responsibilities

• Gain a deep understanding of securities lending and borrowing models, including the balance, pricing, risk, and P&L drivers that support trading desk decision-making.
• Analyze large data sets to extract insights into securities lending activity and provide analytical support for strategic and trading desk decisions.
• Apply deep understanding of broker-dealer operations to work directly with the Securities Lending and Borrowing trading desk, incorporating trading behaviors, market structure, and balance and P&L drivers into robust analytics, forecasting, pricing, and risk models.
• Automate models and analytics via a modern software change management process.
• Support production runs and closely work with downstream users of our models and analytics.
• Contribute to the future state of model development infrastructure and data patterns supporting scalable forecasting, pricing, and scenario analysis, while advancing AI/ML capabilities.
• Leverage industry opportunities to expand the organization’s capabilities in data science, engineering, and modeling techniques.

Requirements

• Bachelor’s degree with a strong quantitative component (Applied Math, Statistics, Economics, Physics, Financial Engineering)
• At least 5 years of work experience in a large financial company as a quantitative modeler with consideration given for graduate degrees
• Solid understanding of statistical and quantitative modeling concepts and practical experience using statistical techniques to extract insights from large datasets
• Strong programming skills in a modern programming language (e.g., Python, C++) and familiarity with object-oriented coding principles
• Experience with a modern software change management process
• Advanced experience extracting data from relational databases (e.g., via SQL)
• Experience in visualizing data analytics and model results
• Strong work ethic, high self-motivation, proactive approach, attention to detail and ability to deliver under tight deadlines
• Excellent communication skills, both verbally and written
• Strong inter-personal skills and a collaborative team-player
• Advanced skills in Excel and PowerPoint

Qualifications

• Graduate degree (Master of Science/Ph.D.) in a quantitative discipline (Applied Math, Statistics, Economics, Physics, Financial Engineering)
• Prior work experience in a Treasury department of a broker-dealer
• Prior experience modeling equity-linked products
• Prior experience in securities lending is a plus

Skills

• Highly quantitative background
• Strong programming skills in a modern programming language
• Entrepreneurial spirit

Benefits

Includes a competitive benefits package such as 401(k) with company match and Employee stock purchase plan, paid time off, tuition reimbursement, health, dental, and vision insurance, and more.

Pay

Salary range with potential for bonus or incentive opportunities.

Schedule

This role offers a hybrid work schedule that balances flexibility with the need to serve clients and regularly meet in person.