Bank of America

Data Scientist

• Analyze and interpret large datasets to identify revenue generation opportunities and develop risk management strategies
• Collaborate with stakeholders to understand business problems and devise data-driven solutions
• Perform business analytics, data analysis, trend identification, and pattern recognition using machine learning, text mining, and statistical analysis
• Apply Agile practices to project management, solution development, deployment, and maintenance
• Create and maintain technical documentation for business requirements, specifications, and production implementation
• Manage multiple priorities and deliver quantitative models, data science products, data analysis reports, and data visualizations
• Present technical concepts and analysis results to diverse internal stakeholders
• Identify potential issues and develop controls to mitigate risk
• Research advances in data science and artificial intelligence
• Support the development, testing, and deployment of data science, machine learning, and AI-driven solutions across risk, compliance, and technology organizations

Data Scientist I

Engineer

• Design, develop, test, and implement common, reusable, and scalable software components
• Enable Global Risk Management’s data and analytical capabilities
• Apply quantitative methods to meet line of business, risk management, and regulatory requirements
• Understand financial data schemas, flow, size, data issues, and controls
• Build performant big data pipelines
• Deliver high-quality code for model and testing processes using software development lifecycle principles
• Collaborate with modelers, risk managers, process owners, data owners, Front Line Units, Technology teams, and other stakeholders
• Assess current-state processes, underlying data, process flows, and risks
• Design and implement future-state technical solutions using traditional and AI-based approaches
• Source, validate, and analyze large and complex datasets
• Apply quantitative and analytical techniques to identify trends, assess risk, and enhance data architecture
• Implement governance, security, observability, and auditability controls for AI-enabled solutions
• Monitor performance and drive process optimization, testing, feedback loops, automation, and responsible AI adoption

Quantitative Engineer

Banker

• Engage clients in the lobby to educate and assist them with transactions through mobile banking, online banking, and ATMs
• Accurately and efficiently process cash transactions
• Conduct deep conversations to understand clients’ financial and life priorities
• Connect clients with solutions that meet their financial goals
• Execute the bank’s risk culture and pursue operational excellence
• Build relationships with clients to meet financial needs
• Follow established processes and guidelines while adhering to applicable laws and regulations
• Partner with experts in small business, lending, and investments to grow business knowledge and networks
• Manage financial center traffic, appointments, and outbound calls
• Drive the client experience
• Manage cash responsibilities

Relationship Banker

Account Manager

• Support creation, onboarding, and maintenance of accounts according to established guidelines and procedures
• Review requests and required account documentation for completeness
• Confirm requirements, obtain approvals or exceptions, and process account openings and maintenance updates
• Respond to client inquiries through multiple channels with status updates and request decisions
• Research processing errors, resolve routine exceptions, and complete corrective actions
• Identify operational issues and escalate risk concerns appropriately
• Provide operational support through inbound calls, mail sorting, mail distribution, recordkeeping, and evidence storage
• Understand end-to-end process flows, controls, risks, and upstream/downstream impacts
• Complete high-volume work within 48-hour turnaround periods

Account Management Ops Representative – Onboarding and Maintenance

Risk

• Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses
• Review and analyze portfolio trends, loss trends, and portfolio dynamics
• Support development of databases and queries to extract data
• Support production of data for internal and external reporting needs
• Work with Technology to implement changes supporting ongoing data needs
• Support development and execution of reporting for Risk and business partners
• Provide analytical support for strategic initiatives affecting multiple Risk functions and lines of business
• Participate in developing database production processes and performance reports for senior management using data mining and advanced analytical techniques
• Respond to complex ad-hoc information requests from internal and external parties
• Support cross-functional efforts to remediate data quality issues
• Monitor control outputs and investigate alerts from control checks
• Evaluate business processes, data flows, and operational data to identify data integrity concerns, trends, anomalies, risks, and improvement opportunities
• Partner with business, risk, finance, operations, technology, and audit stakeholders on process evaluations, issue resolution, and improvement initiatives
• Use data analytics, reporting, automation, AI-enabled tools, and quantitative techniques to identify trends and communicate insights
• Develop reporting, dashboards, and visualizations communicating performance metrics, risks, trends, and opportunities
• Support governance, risk management, and continuous improvement initiatives to strengthen controls and operational effectiveness

Risk Analysis Specialist II

• Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses
• Review and analyze portfolio trends
• Support development of databases or queries to extract data
• Support production of data for internal and external reporting needs
• Work with Technology to implement changes supporting ongoing data needs
• Support development and execution of reporting for Risk and business partners
• Analyze trends, data design, portfolio trends, loss trends, and portfolio dynamics
• Provide analytical support for product strategic initiatives affecting multiple Risk functions and lines of business
• Participate in development of database production processes and performance reports for senior management using data mining and advanced analytical techniques
• Respond to complex ad-hoc information requests from internal and external parties
• Support cross-functional efforts to remediate data quality issues
• Monitor control outputs and investigate alerts from control checks
• Report to the GRM Data Governance Head
• Support DSM day-to-day operations, including progress tracking, annual initiative, resourcing, and funding planning
• Manage GRM data commitments to internal and external parties, monitor progress, and escalate execution risks
• Prepare and present GRM data strategy vision to senior leadership and enterprise stakeholders
• Identify data process optimization opportunities and promulgate leading practices
• Oversee maintenance of GRM-wide data management procedures
• Ensure GRM data-related initiatives align with DSM strategy
• Develop and implement stakeholder engagement and communication plans
• Establish and execute a DSM Employee Engagement action plan
• Maintain the GRM DSM Operational Excellence/SIM portfolio

• Engage clients in the lobby to educate and assist them with transactions through mobile banking, online banking, ATM, and other self-service resources
• Accurately and efficiently process cash transactions for clients
• Have deep conversations with clients to understand their financial and life priorities
• Connect clients to solutions that meet their financial goals
• Execute the bank's risk culture and strive for operational excellence
• Build relationships with clients to meet financial needs
• Follow established processes and guidelines while adhering to applicable laws and regulations
• Partner with experts in small business, lending, and investments to grow business knowledge and networks
• Manage financial center traffic, appointments, and outbound calls
• Drive the client experience
• Manage cash responsibilities

Associate

• Assist with tasks related to the credit process
• Support risk activities, including monitoring financial reporting
• Coordinate client onboarding as the first point of engagement for client teams
• Support systematic execution of the credit process with managers, specified teams, and operations
• Work with Enterprise Credit associates and stay current on bank policies, procedures, and systems
• Accurately image documents related to new and renewal deals and internally created monitoring documents
• Monitor documents and upload and link them to GUS deals when necessary
• Build and maintain relationships with client teams and internal business partners
• Support portfolio management through financial package collection, maturities, annual reviews, financial analysis summaries, past due payments, and failed covenants
• Assist with client needs such as ordering payoff letters
• Clear collateral exceptions to reduce legally binding exposure
• Coordinate deals by engaging outside counsel, assisting with pre-close checklists, and connecting with fulfillment to book facilities in the system of record

Credit Support Associate I – Document Imaging

Solutions Engineer

• Define enterprise AI architecture vision, roadmaps, and target-state capabilities
• Work across business, operations, and technology to create solution intent and architectural vision for complex solutions
• Prioritize functional and non-functional requirements into a technology backlog supporting the technology roadmap
• Contribute to architecture roadmaps across Business, Application, Data, and Technology domains
• Clarify architecture and assist with system design to support implementation
• Provide solution options to resolve architectural impediments
• Facilitate solution-driven discussions and lead the design of complex architectures
• Develop solution designs, architecture blueprints, and reusable reference patterns
• Partner with business, product, engineering, data, risk, and security teams
• Lead architecture for GenAI, agentic workflows, intelligent copilots, recommendation engines, and predictive analytics
• Evaluate emerging AI technologies, platforms, models, and vendors and provide architecture recommendations
• Drive architecture governance, design reviews, and alignment with enterprise standards and regulatory requirements
• Define non-functional requirements for scalability, resiliency, observability, security, performance, and responsible AI controls
• Perform design and code reviews
• Collaborate with engineering teams from ideation through production deployment
• Educate and mentor architects and engineers on AI architecture patterns, technology strategy, and solution design best practices
• Support proof-of-concepts, innovation initiatives, and rapid experimentation
• Help select technology stacks and preferred technology products

Senior Architect – AI Solution Architecture

Project Manager

• Drive integrated execution across governance, data products, technology, and adoption workstreams
• Build and manage program plans, milestones, resources, dependencies, risks, issues, decisions, and executive reporting
• Translate strategy into action, establish clear accountability, remove barriers, and keep delivery on track
• Lead governance and stakeholder routines, ensuring timely decisions, transparent communication, and effective escalation
• Partner across business, technology, data, product, controls, and change teams to sequence delivery and enable certified data products and AI capabilities
• Champion onboarding, communications, training, and adoption while identifying opportunities to simplify workflows and strengthen the operating model
• Align investments and resources to enterprise priorities and measurable Responsible Growth outcomes

Senior Project Manager, Enterprise Analytics Transformation

• Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses
• Review and analyze portfolio trends
• Support development of complex databases or queries to extract data
• Support production of data for internal and external reporting needs
• Work with Technology to implement changes supporting ongoing data needs
• Support reporting development and execution for Risk and business partners
• Analyze data design, portfolio trends, loss trends, and portfolio dynamics
• Provide analytical support for product strategic initiatives across Risk functions and lines of business
• Participate in developing database production processes and performance reports for senior management using data mining and advanced analytical techniques
• Respond to complex ad-hoc information requests from internal and external parties
• Support cross-functional efforts to remediate data quality issues
• Monitor control outputs and investigate control-check alerts
• Collaborate with GRM Data Stewards, Data Users, Data Owners, and Technology Teams on strategic data initiatives
• Gather information about business processes, data attributes, data sources, controls, and system interfaces
• Document processes, procedures, data models, data quality controls, data lineage, and data dictionaries using industry-standard methods
• Analyze information from multiple sources, reconcile conflicts, and synthesize high-level and low-level information
• Assess deficiencies against internal policies, standards, and industry best practices; provide recommendations and remediation requirements
• Partner with technology teams and architects to drive operationally excellent and resilient solutions
• Review technical solution designs from a business perspective and recommend alternatives
• Communicate plans, progress, and risks to stakeholders and sponsors

Financial Planning and Analysis

• Conduct quantitative analytics and modeling projects for specific business units or risk types
• Develop wholesale credit risk models, including loss forecasting, commercial scorecards, behavioral scores, and regulatory capital models
• Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
• Execute in-depth analysis of wholesale credit performance and financial data
• Develop new models, analytic processes, and system approaches
• Perform statistical analysis on large datasets and interpret results using qualitative and quantitative approaches
• Prepare white papers for developed models
• Create technical documentation for all activities
• Work with Technology staff to design systems that run developed models
• Interact with internal model risk management, address concerns, and remediate model-related findings
• Support post-implementation activities, ongoing monitoring reviews, and stakeholder interactions
• Support quantitative work prioritization aligned with the bank's strategy
• Identify continuous improvements through reviews, documentation feedback, and effective challenges
• Provide methodological, analytical, and technical guidance to development and validation projects
• Communicate submission and validation outcomes to model stakeholders and senior management

Quantitative Finance Analyst

• Design, develop, test, and implement common, reusable, and scalable software components
• Enable Global Risk Management’s data and analytical capabilities
• Apply quantitative methods to meet line-of-business, risk-management, and regulatory requirements
• Understand financial data schemas, flows, sizes, issues, and controls
• Build performant big-data pipelines
• Deliver high-quality code for model and testing processes using software development lifecycle principles
• Collaborate with modelers, risk managers, technologists, process owners, data owners, Front Line Units, and Technology teams
• Assess current-state processes, underlying data, process flows, and risks
• Design and implement future-state technology solutions using traditional and AI-based approaches
• Source, validate, and analyze large and complex datasets
• Design scalable data pipelines and analytical solutions
• Implement governance, security, observability, and auditability controls for AI-enabled solutions
• Monitor performance and drive process optimization, automation, testing, feedback loops, and responsible AI adoption
• Build subject-matter expertise in bank processes, data, flows, and controls
• Communicate technical designs and solution impacts to practitioners and senior executives

• Engage clients in the lobby and educate them about self-service banking resources
• Assist clients with transactions through mobile banking, online banking, and ATMs
• Accurately and efficiently process cash transactions
• Conduct deep conversations to understand clients’ financial and life priorities
• Connect clients with solutions that meet their financial goals
• Execute the bank’s risk culture and pursue operational excellence
• Build client relationships to meet financial needs
• Partner with experts in small business, lending, and investments
• Manage financial center traffic, appointments, and outbound calls
• Drive the client experience
• Manage cash responsibilities

• Support data and technology requests, complex reporting and analysis, and modeling to manage risk and minimize credit and operating losses
• Review and analyze portfolio trends, loss trends, and portfolio dynamics
• Support development of databases and queries to extract data
• Support production of data for internal and external reporting
• Work with Technology to implement changes supporting ongoing data needs
• Support reporting that enables Risk and business partners to identify and manage risk
• Provide analytical support for product strategic initiatives across Risk functions and lines of business
• Participate in developing database production processes and performance reports for senior management using data mining and advanced analytical techniques
• Respond to complex ad hoc information requests from internal and external parties
• Support cross-functional remediation of data quality issues
• Monitor control outputs and investigate control-check alerts
• Collaborate with Data Stewards, Data Users, Data Owners, and Technology Teams on strategic data initiatives
• Gather information about business processes, data attributes and sources, controls, and system interfaces
• Document processes, procedures, data models, data quality controls, data lineage, and data dictionaries using industry-standard methods
• Analyze information from multiple sources, reconcile conflicts, and abstract detailed information into general understanding
• Identify deficiencies against internal policies, standards, and industry best practices; recommend remediation requirements
• Partner with technology teams, architects, and stakeholders to drive operational excellence and resiliency
• Review technical solution designs from a business perspective and recommend alternatives
• Communicate plans, progress, and risks to stakeholders and sponsors