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. 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!

JOB DESCRIPTION:

This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities 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. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

SKILLS:

• Adaptability
• Attention to Detail
• Business Analytics
• Technical Documentation
• Written Communications
• Agile Practices
• Application Development
• Collaboration
• Data Visualization
• DevOps Practices
• Artificial Intelligence/Machine Learning
• Networking
• Policies, Procedures, and Guidelines Management
• Presentation Skills
• Risk Management

LOB SPECIFIC INFORMATION:

This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams.
Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic professional to join our team as a Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
For internal employees: participation in a work from home posture does not make you ineligible to post.

REQUIRED SKILLS:

• A minimum of 3 years of experience in data and analytics is required
• Must be proficient with SQL and one of SAS, Python, or Java
• Critical problem-solving skills including selection of data and analytical approach
• Experience providing thought leadership, developing deliverables, and working with limited direction on complex problems to achieve project goals
• Effective communication and influencing skills
• Thrives in fast-paced and highly dynamic environment
• Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions
• Experience handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka)
• Experience with data analytics and/or technical development lifecycles

DESIRED SKILLS:

• Advanced degree (Masters or Doctorate) preferably in STEM (Science, Technology, Engineering, Math), business, or finance
• 5+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas
• Experience in data engineering work including defining data requirements, designing and building pipelines (e.g., DDL, DML), quality testing, and post development evaluation
• Understanding of data quality dimensions, performance of data quality assessments, and the build/maintenance of proactive monitoring of data across its lifecycle
• Understanding of advanced analytics techniques, especially supervised and unsupervised machine learning development and maintenance, graph analytics development, and related statistical methods
• Familiarity with data science tools such as H2O, Hadoop, TigerGraph, or similar advanced analytical tools
• Experience engaging with cross-functional teams and in large multi-organization formal projects
• Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile
• Experience with administrative and compliance duties such as access management, technical documentation, change management, issue management, and risk reporting

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 decision-making and drive data-driven insights
• 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
• 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

RESPONSIBILITIES:

Some tasks that this role may be responsible for include (but are not limited to):

• Manage a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology
• Manage relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks
• Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts
• Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business
• Perform complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
• Coach and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
• Support execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights
• Link Analysis/Graph analytics to find and mitigate densely connected fraud networks
• Develop and tune graph algorithms to maximize detection of fraud
• Assist with the generation, prioritization, and investigation of fraud rings