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Senior Analyst in Quantitative Finance
2 months ago
At Bank of America, we are driven by a shared mission to enhance financial well-being through every connection we make. Our commitment to Responsible Growth shapes our operations and how we serve our clients, colleagues, communities, and shareholders daily.
We prioritize creating a workplace that fosters diversity and inclusivity, ensuring that we attract individuals from a wide array of backgrounds and experiences. Our investment in our employees and their families is reflected in our competitive benefits, which support their physical, emotional, and financial health.
Bank of America recognizes the significance of collaboration while also providing flexibility to our workforce. Our approach to flexibility is multifaceted, tailored to the various roles within our organization.
Being part of Bank of America offers a rewarding career with opportunities for learning, growth, and impactful contributions, empowering you to make a difference.
Position Summary:
Enterprise Model Risk Management is seeking a Senior Analyst in Quantitative Finance to perform independent evaluations and assessments of a diverse range of models utilizing advanced statistical methodologies, as well as artificial intelligence (AI) and machine learning (ML) techniques, particularly for models related to Operational Risk and Global Operations. The portfolio encompasses models of significant business importance, attracting ongoing attention from senior management and regulatory bodies. This role is designed to provide both strategic insight and practical expertise in methodologies, techniques, and adherence to model risk management standards.
Key Responsibilities:
• Conducting model evaluation tasks, including independent validation, annual reviews, ongoing monitoring assessments, action item reviews, and peer evaluations.
• Engaging in governance activities such as model identification, approval processes, and breach remediation reviews to mitigate model risk.
• Offering methodological, analytical, and technical guidance to effectively challenge and influence the strategic and tactical directions of various projects.
• Collaborating directly with relevant modeling teams and their respective Front Line Units; as necessary, liaising with the third line of defense (e.g., internal audit) and external regulators.
• Composing technical reports for dissemination and presentation to model developers, senior management, audit teams, and regulatory authorities.
• Serving as a leader and Subject Matter Expert (SME) to support management decision-making and mentor junior team members.
Minimum Education Requirement: Master’s degree in a relevant field.
Required Qualifications & Skills:
• PhD or Master’s in a quantitative discipline such as Mathematics, Physics, Finance, Engineering, Computer Science, or Statistics.
• Over 8 years of professional experience in quantitative research, model development, and/or model validation, including at least 3 years focused on Operational Risk Stress Testing (CCAR) and capital models.
• Comprehensive understanding of financial, mathematical, and statistical theories and practices, alongside a profound grasp of the modeling process, performance metrics, and model risk governance. Familiarity with the additional risks associated with AI/ML models is advantageous.
• Proficiency in at least one high-level programming language, such as Python or R.
• Domain expertise in banking operations, stress testing, and technologies related to operations management/enablement is a plus.
• Excellent written and verbal communication skills, with a strong ability to collaborate with diverse groups within the organization, including stakeholders from non-technical backgrounds.
• Strong critical thinking skills and the capacity to independently and proactively identify, suggest, and resolve issues.
Essential Skills:
- 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
1st shift (United States of America)
Hours Per Week:
40