Bank of America-posted 3 months ago
Full-time • Senior
Phoenix, AZ
Credit Intermediation and Related Activities

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

  • Seek opportunities for consistent improvement in quality, efficiency, and processes
  • Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance
  • Provide leadership and oversight to less experienced team members
  • Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
  • Understanding financial data: schemas, flow, size, data issues, data controls, etc.
  • Building performant big data pipelines
  • Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
  • Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
  • Think outside the box of current industry standards to develop innovative approaches
  • Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
  • Source and evaluate data required for modeling and testing
  • Design and develop and implement models and tests
  • Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes
  • Bachelor's degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
  • 7+ years of relevant work experience
  • Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
  • Proven track record of seamlessly leading and executing enterprise-wide initiatives
  • Strong analytical and problem-solving skills
  • Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
  • Experience with large scale data sets with structured or unstructured data
  • Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
  • Experience implementing process improvements and automation
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