Data Scientist II

at  Bank of America

JOB DESCRIPTION:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

JOB DESCRIPTION:

Responsible for enabling analysis, modeling, and optimization through producing information products. Actively involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills, but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. These systems must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights. This role often possesses a degree in hard science or another heavy quantitative business or social discipline. Able to work independently on complex projects.

SKILLS:

• Agile Practices
• Application Development
• DevOps Practices
• Technical Documentation
• Written Communications
• Artificial Intelligence/Machine Learning
• Business Analytics
• Data Visualization
• Presentation Skills
• Risk Management
• Adaptability
• Collaboration
• Consulting
• Networking
• Policies, Procedures, and Guidelines Management
  We are looking for a Data Scientist to support the Model Development Executive with Governance and Customer Support activities associated with (AI) Model Development.
  The associate in Data Science for Technology, Risk, and Operations (DSTRO) within Global Risk Analytics (GRA) will support our Global Technology, Global Operations, Global Strategy & Enterprise Platform and Global Human Resources Model Development Stakeholders with Model Development and Model Compliance activities.
  A focus will be on guiding the Model Developers to adhere to their respective Model Development Procedures and familiarize them with the various (AI) Model Policies and document requirements associated with the complex Model Validation Process.
  In addition, this role will monitor a set of model development/performance risk metrics and enhance executive reporting to convey the status on a bi-weekly basis. As a senior member of the team this individual will also be responsible for documenting and enhancing our operational processes to lean them out and deliver a higher quality product (operational excellence).
  This is NOT a people management role. Rather, this is an individual leadership role where the individual needs to work across various teams and be comfortable and capable of interacting with executives on a regular basis.

This role reports to the leader of the DSTRO Model Development Executive Support function.

• Model Validation or similar Experience
• AI Model Risk identification and mitigation experience
• Familiarity with AI Model techniques
• Experience is developing onboarding/model validation processes
• Strong communication skills and comfortable talking to executives
• Degree in Math, Data Science or equivalent

Preferred Experience:

• Experience in understanding/communicating and enhancing complex processes
• Experience with project management
• Experience in building and/or understanding Model Conceptual Soundness concepts
• Experience in building trusting relationships with our various customers
• Experience juggling various high-priority projects simultaneously
• Experience working in a virtual team environment
• Experience at a regulated financial services institution
• Experience working in a complex organization

Primary Responsibilities:

• Ensuring the overall health of Model Development for our customer base
• Building trusting and supportive relationships with key stakeholders in Global Technology, Global Operations, Global Risk Analytics and Model Risk Management
• Facilitating the execution of data science projects in the appropriate environment
• Develop expertise in BofA model governance and maintain the Model Development executives Model Development Procedures
• Enhancing bi-weekly Model Risk executive reports

This role reports to the leader of the DSTRO Model Development Executive Support function.

• Model Validation or similar Experience
• AI Model Risk identification and mitigation experience
• Familiarity with AI Model techniques
• Experience is developing onboarding/model validation processes
• Strong communication skills and comfortable talking to executives
• Degree in Math, Data Science or equivalen

Primary Responsibilities:

• Ensuring the overall health of Model Development for our customer base
• Building trusting and supportive relationships with key stakeholders in Global Technology, Global Operations, Global Risk Analytics and Model Risk Management
• Facilitating the execution of data science projects in the appropriate environment
• Develop expertise in BofA model governance and maintain the Model Development executives Model Development Procedures
• Enhancing bi-weekly Model Risk executive report