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Bank Of America Sr Quantitative Finance Analyst United States, New York, New York 340193846
Responsibilities:
Performing model review activities including but not limited to independent model validation/challenge, 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 to manage model risk.
Providing hands-on leadership for projects pertaining to statistical modeling and AI/ML approaches; and providing methodological, analytical, and technical support 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; and if needed, communicating, and interacting with the third line of defense (e.g., internal audit) as well as external regulators.
Writing technical reports for distribution and presentation to model developers, senior management, audit, and banking regulators.
Acts as a senior leader and Subject Matter Expert (SME) to help management’s decision making and guide junior team members.
Master’s degree in related field or equivalent work experience
Required Qualifications:
PhD or Masters in a quantitative field such as Mathematics, Physics, Engineering, Computer Science or Statistics.
Solid 3+ years of work experience at another financial service or technology firm in AI/ML, quantitative research, model development, and/or model validation.
Expert of AI/ML methodologies including NLP, e.g., methods in NLP used for text-to-text, speech-to-text/text-to-speech, and image-to-text tasks. Familiarity of techniques in generative AI and LLMs will be a great plus, e.g., prompt engineering, reinforcement learning from human feedback.
Proficient in Python, and ideally experienced in AI/ML packages, e.g., scikit-learn, TensorFlow, XGBoost, PyTorch, spaCy.
Domain knowledge such as retail banking, technology, operations, financial markets is a plus.
Strong knowledge of financial, mathematical, and statistical theories and practices, and a deep understanding of modeling process, model performance measures, and model risk of AI/ML models. Understanding of additional risks of AI/ML models in areas such as privacy or information security will be a plus.
Strong written and verbal communication skills and collaboration skills. This role involves communicating with various groups within the firm including stakeholders with non-technical background.
Critical thinking and ability to independently and proactively identify/suggest/resolve issues.
Motivated to continuously research and share state-of-the-art technologies, methodologies, and applications in the AI/ML field.
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