Assistant Vice President; Quantitative Finance Analyst

Bank of America•Jersey City, NJ

1d•Hybrid

About The Position

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

Master's degree or equivalent in Statistics, Economics, Mathematics, Finance, Engineering (any), Physics, Computer Science, or related.
2 years of experience in the job offered or a related Quantitative occupation.
2 years of experience utilizing scripting and analytical tools, including Python and SQL, to explore, process and thoroughly understand large volumes of structured and unstructured data in support of model development and testing, by doing data processing, feature engineering and automation.
2 years of experience leveraging statistical analysis, predictive modeling, linear regression and machine learning techniques to identify patterns, trends and key risk drivers and develop benchmark models.
2 years of experience supporting regulatory or compliance-related analytical work in alignment with internal polices and applicable regulations.
2 years of experience collaborating with cross-functional teams, including developers, data management, business stakeholders, to support model development, validation testing or deployment activities.

Nice To Haves

Broad knowledge of financial markets and products.

Responsibilities

Conducting quantitative analytics and modeling projects for specific business units or risk types.
Developing new models, analytic processes, or systems approaches.
Creating technical documentation for related activities.
Working with Technology staff in the design of systems to run models developed.
Reviewing critical assessment and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation and documentation.
Developing and implementing testing plans and testing code in order to challenge models through empirical analyses and to verify model implementation.
Reviewing and assessing ongoing model monitoring activities.
Writing technical reports for distribution and presentation to model developers, senior management, and audit and banking regulators.
Conducting in-depth research and analysis to identify and assess emerging risks in the consumer lending landscape.
Supporting the preparation of materials for meetings and examinations with internal auditors and financial regulators.
Providing timely and accurate information to facilitate the model governance process.