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About the Role

The Liquidity and Funding Management group within Treasury handles liquidity and funding planning across the corporation and its subsidiaries. This role is an individual contributor within the Liquidity Analytics group, responsible for monitoring and ensuring adherence to regulatory ratios, developing analytical tools, and contributing to company liquidity management policies.

Responsibilities

Assist in sizing liquidity buffer requirements and forecast BAU cash flow projections.
Identify liquidity gaps to assist the funding desk in forming funding strategies.
Monitor customer daily activities and investigate large transactions to identify liquidity impacts.
Provide sweep and key balances prediction to assist cash management and liquidity planning.
Produce, monitor, and assess daily Key Risk Indicators (KRI) and liquidity limits.
Recommend updates and changes to KRIs and liquidity limits as the business evolves.
Ensure liquidity risk is appropriately captured.
Partner with the cash management team to develop and automate cash forecasting capabilities.
Research customer activities and deposit behaviors to provide insightful analysis for liquidity forecasting.
Assist in monitoring the LCR/NSFR ratios and providing business analysis for ongoing compliance.
Partner with the Liquidity Projects and Technology teams to review business requirements.
Contribute to ad hoc analytical projects, primarily related to liquidity.

Requirements

Experience with data analysis and data interpretation, including experience with very large data sets.
Advanced SQL skill to extract information from various applications and systems and to identify and research anomalies.
Excellent analytical, strategic planning, complex problem resolution and leadership skills.
Ability to translate complex business problems into discrete quantifiable components.
Knowledge of regulatory rules (LCR, NSFR, Enhanced Prudential Standards, Basel III, Liquidity Stress Testing) is highly preferred.
Bachelor’s degree required; advanced degree a plus.
5+ years of related work experience in a financial organization.
General understanding of statistical methodologies and applications.
Basic knowledge of finance and accounting, particularly in the bank and broker-dealer space.
Advanced skills in Excel.
Knowledge of Python or other program language (AI tool) is a plus.
Excellent oral and written communication skills.
Ability to construct and utilize complex financial models.
Strong interpersonal and management skills with the demonstrated ability to build cross-functional relationships and to interact effectively with senior management.
Strong project management skills and the ability to organize and manage multiple, changing priorities.

Skills

Data analysis
Data interpretation
SQL
Analytical skills
Strategic planning
Complex problem resolution
Leadership skills
Financial modeling
Excel
Python
Communication skills
Interpersonal skills
Project management skills

Experience Level

5+ years of related work experience

Education Level

Bachelor’s degree required
Advanced degree a plus

Benefits

Bonus or incentive opportunities

About the Company

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.