Description
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types.
Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed.
Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Enterprise Model Risk Management seeks a Senior Quantitative Finance Analyst Liquidity Risk to conduct independent testing and review of complex models used to monitor and mitigate liquidity and funding risks in the Bank.
Responsible for compliance with Enhanced Prudential Standards and other regulatory guidelines, the candidate will work on models related to both banking and trading businesses of Bank of America.
The candidate should exhibit familiarity with industry practices and have up-to-date knowledge of liquidity risk management.
The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying mathematical approaches to manage the bank’s liquidity risk models and model systems.
Responsibilities :
Performing independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
Conducting governance activities such as model identification, model approval and breach remediation reviews.
Providing hands-on leadership for projects pertaining to liquidity risk modeling approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.
Communicating and working directly with relevant modeling teams and their corresponding Front Line Units; communicating and interacting with the third line of defense (e.
g., internal audit) as well as external regulators, as needed.
Writing technical reports for distribution and presentation to model developers, senior management, audit, and banking regulators.
Acts as a senior level resource or resident expert on analytic / quantitative modeling techniques used for liquidity risk management.
Minimum Education Requirement : Master’s degree in related field or equivalent work experience
Required Qualifications :
Masters in finance or economics with demonstrated quantitative skills.
FRM and CFA certifications preferred.
Knowledge and 5+ years of experience in building and understanding of liquidity risk management models.
Strong familiarity with the industry practices in the field and knowledge of up-to-date liquidity risk management.
Excellent written and oral communication skills with stakeholders of varying analytic skill and knowledge levels.
Skills : Critical Thinking
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Shift :
1st shift (United States of America)
Hours Per Week :
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