Sr Specialist, AI & Data Science - Treasury

Your Opportunity

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 Sr Specialist (AI & Data Science) you will be part of the Deposit Modeling and Analytics team within the Treasury & Capital Market department. The Deposit Modeling and Analytics team is responsible for data-driven deposit insights, developing forecasting and pricing models, and producing deposit forecasts on a recurring cadence.

This role will give you the opportunity to analyze large scale and complex datasets. You are not afraid to get your hands dirty: sorting out data issues, organizing datasets, using your math/stats skills to generate insights, developing new models, improving the efficacy of existing models, and solving problems is what you love to do. With your strong programming skills, you will find scalable and robust solutions to automate and visualize our analytics. In all these endeavors, you will cooperate closely with your team and other stakeholders to achieve the best possible outcome.

As a member of this team, you will contribute critical insights that directly influence senior management decisions. If this sounds exciting to you, we look forward to receiving your application.

What you have

• Bachelor's degree with a strong quantitative component (Applied Math, Statistics, Economics, Physics, Financial Engineering), a graduate degree is a plus (Master/Ph.D.)
• Strong programming skills in a modern programming language (e.g., Python, R, C++)
• Experience in extracting data from relational databases (e.g., via SQL, Alteryx, Dataiku, GCP)
• Ability to develop new models, improve efficacy of existing models and rigorously test them
• Experience with data visualization tools (e.g., Tableau) is a plus
• Strong work ethic, high self-motivation, and attention to detail
• Strong communication, presentation, and inter-personal skills
• Collaborative team-player
• Proficient in Excel and PowerPoint
• +3 years of relevant work experience, not required, but preferred