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Lead Financial Analytics Specialist
2 months ago
At Bank of America, our mission is to enhance financial well-being through meaningful connections. We are committed to Responsible Growth, which reflects our dedication to our clients, employees, communities, and shareholders.
We prioritize creating a diverse and inclusive workplace, welcoming individuals from various backgrounds and experiences. Our investment in our employees and their families includes competitive benefits aimed at supporting their overall well-being.
Bank of America values collaboration while offering flexibility tailored to different roles within our organization.
Joining our team means embarking on a fulfilling career with opportunities for growth, learning, and making a significant impact.
Position Summary:
This role entails executing quantitative analysis and intricate modeling projects for designated business units or risk categories. Key duties encompass spearheading the creation of innovative models, analytic methodologies, and system strategies, along with producing technical documentation for related tasks. Collaboration with Technology teams is essential for the design of systems to implement developed models. The position may also involve influencing strategic directions and formulating tactical plans.
Key Responsibilities:
- Conduct comprehensive market risk stress testing, including scenario design, implementation, results consolidation, and reporting, while analyzing stress scenario outcomes to understand key drivers.
- Oversee the planning of quantitative work priorities aligned with the bank's strategic objectives.
- Identify opportunities for continuous improvement through evaluations of model development and validation processes, providing constructive feedback on technical documentation.
- Maintain oversight of model development and risk management in relevant areas to meet business needs and the enterprise's risk appetite.
- Provide methodological, analytical, and technical support to effectively challenge and influence the strategic direction of development and validation projects.
- Collaborate closely with model stakeholders and senior management regarding the communication of validation outcomes.
- Perform statistical analyses on extensive datasets, interpreting results through both qualitative and quantitative lenses.
- 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 Communication
Advanced degree in quantitative disciplines such as Statistics, Economics, Mathematics, Finance, Engineering, or Computer Science is preferred.
At Bank of America, our models support a wide array of functions, including valuation, risk management, capital planning, stress testing, and strategic decision-making. We acknowledge the inherent risks associated with model usage and strive to manage these risks effectively.
The Enterprise Model Risk Management (MRM) Team oversees model risk across our inventory, validating and challenging both new and existing models. This team is responsible for model risk assessments, monitoring, and communication of validation issues to relevant stakeholders.
The successful candidate will join the MRM Consumer Banking team as a senior quantitative finance analyst, focusing on independent testing and review of complex consumer predictive models.
• Review and critically assess models supporting consumer banking strategies and credit risk management, evaluating their conceptual soundness, assumptions, data, and performance.
• Develop and implement independent testing plans to rigorously challenge models through empirical analyses.
• Monitor ongoing model activities to proactively identify and mitigate emerging risks.
• Prepare technical reports for distribution to stakeholders, senior management, and regulatory bodies.
• Mentor junior staff while leading validation projects.
• Minimum of 5 years of experience with a PhD or 8 years with a Master's degree in financial risk modeling or validation is required.
Shift:
1st shift (United States of America)
Hours Per Week:
40