Senior Specialist, Product Modeling

Charles Schwab Corporation•Lone Tree, CO

43d

About The Position

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. As a full-time senior specialist, you will be part of the Product Modeling team within the Treasury Modeling department. The Product Modeling team is responsible for developing data-driven analytics, time-series forecasting and classification models. These models are then deployed and maintained by the team, generating actionable insights and forecasts on a recurring cadence across deposits, margins and other on-/off-balance sheet products. You'll join a collaborative culture that values continuous learning, professional development, and meaningfully contribute to our mission of empowering investors. This role is primarily focused on model development, architecture and optimization within the Treasury Modeling team, where you will be at the forefront of developing fully automated solutions by coding new models (or migrating existing ones) in Python in close collaboration with model owners. This position requires individuals with strong Python coding foundations, and overall knowledge of data science. If you're passionate about data science and analytics, eager to learn, then build sophisticated predictive models and extract insights from large datasets, and want to make a meaningful impact within the dynamic Treasury Modeling organization that harnesses the power of data science to transform financial services, we want to hear from you.

Requirements

Solid understanding of statistical and quantitative modeling concepts and practical experience using statistical techniques to extract insights from large datasets.
Ability to develop new models, improve efficacy of existing models and rigorously test them.
Programming skills in Python and familiarity with object-oriented coding principle. Understanding of coding architecture for the deployments of models is a plus.
Experience with a modern software change management process.
Experience in extracting data from relational databases (e.g., via SQL)
Experience in visualizing data analytics and model results.
Strong work ethics, high self-motivation, proactive approach, attention to detail and ability to deliver under tight deadlines.
Excellent communication skills, both verbally and written.
Strong interpersonal skills and a collaborative team-player
Advanced skills in Excel and PowerPoint

Responsibilities

Gain a deep understanding of the various forecasting models which measure the market risk in financial projections associated with a diverse set of products across the balance sheet.
Develop and maintain automated model infrastructure by orchestrating complex scheduling architectures, building robust data pipelines, and implementing version control systems that support enterprise-level model deployment and monitoring.
Master advanced coding frameworks for financial modeling by learning Python-based model development, understanding object-oriented programming principles for model architecture, and implementing scalable solutions that integrate with existing Treasury systems and databases.
Design and implement model validation frameworks by creating automated testing suites, building data quality checks, and developing monitoring systems that ensure model accuracy and regulatory compliance throughout the model lifecycle.
Collaborate on model enhancement initiatives by working with cross-functional teams to translate business requirements into technical specifications, optimize model performance through code refactoring, and contribute to the evolution of Treasury's modeling infrastructure and best practices.