• Job Description

  Req#: 24034798

  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!

  Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.
  
  The Data Science for Technology, Risk and Operations (DSTRO) team, a sub-line of business within GRA, is responsible for developing, enhancing and maintaining the Enterprise Information Products (EIPs) dataset. DSTRO leverages artificial intelligence to enhance the efficiency and effectiveness of Enterprise Information Testing (EIT) and oversees the development of Natural Language Processing (NLP) solutions. The team is also dedicated to advancing Data Science and Artificial Intelligence (AI) capabilities within GRA, working closely with Global Technology, Global Operations, Model Risk Management, and the AI Policy, Strategy, and Governance teams to establish a robust operational framework for both vendor and internal technology and operations models.
  
  Job Description:
  This job is responsible for analyzing and interpreting large datasets to solve business problems and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings as well as leading a team that delivers modeling solutions that solve complex business problems. Job expectations include demonstrating flexibility, resilience, accountability, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
  
  Role Responsibilities:
  Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support innovative, drive data-driven model development, testing and deployment into production. Ability to clearly and concisely document model development requirements that conform to Enterprise Policies.
  
  Applies agile practices for project management, solution development, deployment, and maintenance. Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production. Experience working collaboratively with team members to develop solutions.
  
  Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment.

  
  Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders and develops professional relationships to foster collaboration on work deliverables. Mitigates risk by identifying potential issues and developing controls. Researches the latest advances in the fields of data science and artificial intelligence to support business analytics.

  Required Skills

  10+ years’ experience with expertise in the following areas:
  Artificial Intelligence/Machine Learning, Generative AI, Data Visualization, Technical Documentation, Risk Management, Written Communication and Workforce Management experience

  Undergrad degree required, MS preferred in STEM discipline

  Overall 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. Responsible for adoption of enterprise information products through clearly communicating how enterprise information products answer material banking questions leading to decisions and actions. This role often possesses an advanced degree in hard science or another heavy quantitative business or social discipline. Able to lead or work independently on complex projects and influence strategic direction

  Skills:

  • Artificial Intelligence/Machine Learning
  • Business Acumen
  • Presentation Skills
  • Project Management
  • Technical Documentation
  • Candidate Screening
  • Data Visualization
  • Policies, Procedures, and Guidelines Management
  • Risk Management
  • Written Communications
  • Adaptability
  • Career Path Design
  • Consulting
  • Performance Management
  • Workforce Diversity Management

  Shift:

  1st shift (United States of America)

  Hours Per Week:

  40

  Pay Transparency details

  US - NJ - Jersey City - 525 Washington Blvd (NJ2525)

  Pay and benefits information

  Pay range

  $155,000.00 - $195,000.00 annualized salary, offers to be determined based on experience, education and skill set.

  Discretionary incentive eligible

  This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

  Benefits

  This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

• About the company

  Bank of America is one of the world's largest financial institutions, serving individuals, small- and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services.

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