Director; Sr Quantitative Finance Mgr

Responsibilities

• Develop innovative technology-based solutions in the form of software, analytical tools and automation utilities to drive process efficiencies and drive business growth.
• Be the thought leader who designs processes, systems and tools based on applied advanced quantitative statistical, machine learning and Al methodologies to build models and analytical frameworks that can be leveraged for better risk management.
• Deliver quantitative models and solutions to the Lines of business that optimize the use of Big Data in a way that reduces the model development and deployment cycle.
• Evaluate quantitative methodologies and data to determine if they should be leveraged for exploration, development and deployment across Consumer models and Analytical frameworks.
• Direct a quantitative team with specific focus areas and oversee stakeholder engagement.
• Set quantitative work priorities in line with the bank's overall strategy.
• Identify continuous improvements through process assessments, and risk and opportunity identification relative to model development or model validation, technical documentation, Consumer credit strategy development, and credit risk management processes.

Requirements

• Bachelor's degree or equivalent in Engineering (any), Finance, Economics, Statistics, Mathematics, or related field.
• 7 years of progressively responsible experience in the job offered or a related Quantitative occupation.
• Must include 7 years of experience in each of the following:
• Utilizing advanced modeling and data science principles including, machine learning and deep learning, statistical and/or probability to develop loan loss modelling, credit risk management or consumer credit frameworks;
• Designing solutions, frameworks or processes that leverage analytical tools or models to improve risk management and/or analytical processes;
• Applying statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management, originations, or across credit lifecycle;
• Building out, supporting or developing model risk frameworks of processes including model validation, model development or monitoring;
• Developing and evaluating quantitative modelling and analytics projects in risk analytics and loss forecasting leveraging technology enabled tools.

Qualifications

• 15% domestic travel required, as necessary.

Skills

Must have skills in utilizing advanced modeling and data science principles including, machine learning and deep learning, statistical and/or probability to develop loan loss modelling, credit risk management or consumer credit frameworks; designing solutions, frameworks or processes that leverage analytical tools or models to improve risk management and/or analytical processes; applying statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management, originations, or across credit lifecycle; building out, supporting or developing model risk frameworks of processes including model validation, model development or monitoring; developing and evaluating quantitative modelling and analytics projects in risk analytics and loss forecasting leveraging technology enabled tools.

Benefits

Remote work may be permitted within a commutable distance from the worksite.

Pay

N/A

Schedule

1st shift (United States of America)

Hours Per Week: 40

Employer: Bank of America N.A.