Liquidity Analytics Lead: Forecasting & Compliance

Charles Schwab; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Schwab is seeking an experienced Liquidity Analytics professional in San Francisco to analyze large data sets, develop quantitative models, and monitor LCR/NSFR metrics. The role emphasizes cross-functional collaboration within Treasury and requires strong SQL, Excel, and communication skills.

The ideal candidate has 5+ years in finance, familiarity with Basel III rules and liquidity stress testing, and can translate complex problems into actionable insights for senior management.

Qualifications

• Experience with data analysis and interpretation on very large data sets.
• Advanced SQL skills to extract information and identify anomalies.
• Excellent analytical, strategic planning and problem-resolution abilities.
• Ability to translate complex business problems into quantifiable components.
• Knowledge of regulatory rules (LCR, NSFR, Basel III) preferred.
• Bachelor’s degree required; advanced degree a plus.
• 5+ years of related work experience in a financial organization.
• Advanced skills in Excel; Python or AI tools is a plus.
• Strong communication and interpersonal skills; ability to interact with senior management.

Responsibilities

• Assist in sizing liquidity buffer requirements and forecast BAU cash flow projections; identify liquidity gaps to aid funding decisions.
• Monitor daily activities, investigate large transactions to assess liquidity impact and predict balances.
• Produce, monitor, and assess daily KRIs and liquidity limits; update as business evolves.
• Maintain backend scripts and recommend updates to reflect evolving liquidity risk.
• Partner with cash management to develop and automate cash forecasting capabilities.
• Research customer activities and deposit behaviors to inform liquidity forecasting.
• Assist in monitoring LCR/NSFR ratios and provide business analysis for compliance.
• Collaborate with Liquidity Projects and Technology teams on requirements.
• Contribute to ad hoc analytical projects related to liquidity.

Skills

Data analysis

Advanced SQL

Analytical thinking

Translate complex problems

Financial knowledge

Communication skills

Project management

Interpersonal skills

Problem decomposition

Python or AI tools knowledge

Education

Bachelor’s degree

Advanced degree preferred

Tools

Excel

Python

Job description

Schwab is seeking an experienced Liquidity Analytics professional in San Francisco to analyze large data sets, develop quantitative models, and monitor LCR/NSFR metrics. The role emphasizes cross-functional collaboration within Treasury and requires strong SQL, Excel, and communication skills.

The ideal candidate has 5+ years in finance, familiarity with Basel III rules and liquidity stress testing, and can translate complex problems into actionable insights for senior management.