Sr Manager, Liquidity Analytics

Charles Schwab Corporation•Lone Tree, CO

30d•Onsite

About The Position

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, a preferred candidate has been identified for this role. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). The Liquidity and Funding Management group within Treasury handles liquidity and funding planning across the corporation and its subsidiaries, including our bank and broker-dealers. We monitor and ensure adherence to regulatory ratios including the Liquidity Coverage Ratio (LCR) and associated public disclosures, Net Stable Funding Ratio (NSFR), FR 2052a Liquidity Monitoring Report. We conduct and maintain the Internal Liquidity Stress Testing model as required by Enhanced prudential Standards. We also develop tools to assist our business partners in analyzing the liquidity impacts of business decisions. This group is responsible for the design of company liquidity management policies, ensuring compliance at all times, and escalating issues to senior management as necessary. We work with internal and external partners on multiple ongoing examinations and audits of liquidity practices. This is an individual contributor role.

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
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
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

Nice To Haves

Knowledge of regulatory rules (LCR, NSFR, Enhanced Prudential Standards, Basel III, Liquidity Stress Testing), is highly preferred
Knowledge of Python or other program language is a plus

Responsibilities

Produce monthly production run of internal liquidity stress testing model for multiple legal entities
Assist in appropriately sizing liquidity buffer requirements and forecast short-term stress cash flow projections; identify liquidity gap and collaborate with funding desk to form funding strategies
Perform data analysis and research in refining internal liquidity stress testing assumptions
Analyze near-term funding need across various stress scenarios and work with Funding desk to optimize the execution of term borrowings across the Broker-dealer and Parent entities to support the metric
Provide liquidity guidance for monthly Net Interest Revenue (NIR) forecasts, including producing long-term funding plan to satisfy all liquidity risk metrics
Partner with the Treasury Capital Markets team to assess and provide guidance on the liquidity impacts of various long-term balance sheet strategies
Collaborate with Treasury Capital Management team on key initiatives and provide guidance on the liquidity impacts of proposed capital actions
Manage calibration and annual review of liquidity assumptions used in the Capital Stress Testing (CST) process
Run ad-hoc analytical projects, primarily related to liquidity and funding
Assist in maintenance of methodology document, model validations in accordance with model governance requirements
Partner with technology teams to create new liquidity analytics capabilities and automate existing manual processes