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.

1st shift (United States of America)