Manager - Securities Lending Quantitative Modeler

About the role

Your opportunity at Schwab is to join the Product Modeling team within the Treasury Modeling department, serving as a Securities Lending Quant dedicated to the Securities Lending trading desk. You will be responsible for data-driven deposit, margin, and securities lending/borrowing analytics, developing and maintaining models that support product balance forecasting, pricing, and overall P&L management.

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 (e.g., Python, C++)
• Ability to develop new models, improve efficacy of existing models and rigorously test them
• 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

Benefits

At Schwab, you’re eligible for a competitive benefits package that includes:

• 401(k) with company match and Employee stock purchase plan
• Paid time off for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance