Manager - Securities Lending Quantitative Modeler

Charles Schwab Inc.•Westlake, TX

6d•$91,800 - $165,000

About The Position

As a Manager (AI & Data Science), you will be part of the Product Modeling team within the Treasury Modeling department, serving as a Securities Lending Quant dedicated to the Securities Lending trading desk. The Product Modeling team is 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 across these businesses. A key focus of our team is to drive forward the model automation efforts across the product modeling team. We are currently building out a scalable and robust infrastructure that allows us to run forecast scenarios for BAU, market risk, and interest rate risk in a highly automated and controlled fashion. Additionally, our team is at the forefront of researching and developing new analytics explaining movements in deposits, margin loans and securities lending/borrowing over various time frames. Based on these analytics, we develop new models that go through a rigorous model validation process. Our analytics and models provide valuable and actionable insights to senior stakeholders not only within Treasury, but also across the broader Finance organization and the firm overall. In this role, you will have the opportunity to use a wide variety of skills. Your highly quantitative background, strong programming skills, and experience working with large datasets will help you extract valuable insights for the Securities Lending business. Your modeling background will enable you to translate those insights into robust forecasting, pricing, and risk models, while your programming experience will allow you to write production-level code under a rigorous change management process. Your entrepreneurial spirit will help you identify opportunities to improve decision-making and support the bottom line of the Securities Lending trading desk. While doing all this, you will collaborate closely with desk stakeholders and present your results and observations to a wide group of partners. If you are looking for a role where you can leverage all these skills and want to be part of a very impactful and driven team within the Treasury organization, we encourage you to apply.

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
Ability to develop new models, improve efficacy of existing models and rigorously test them
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

Nice To Haves

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

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. This includes research, model white papers, technical documentation, and ongoing model maintenance.
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.