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Job Description:
Job Description:
This job is responsible for leading business analysis for a Line of Business (LOB) by producing all financial reporting and disclosures in partnership with senior management, front office, and other business stakeholders. Key responsibilities include applying a knowledge and understanding of product(s), processes, and inherent risks of a product, business or function to analyze and substantiate Profit and Loss (P&L) attributes and balance sheets, establish infrastructure for new products, and approve ledger journal entries.
The Chief Financial Officer (CFO) Group
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Required Qualifications:
Desired Qualifications:
Skills:
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Job Description:
This job is responsible for providing moderately complex research, reporting, and analytical support for the delivery of end-to-end support for Global Markets sales, trading and underwriting business for securities, foreign exchange, fixed income, exchange traded derivatives, and over-the-counter derivatives across multiple Lines of Business. Key responsibilities include carrying out duties under general supervision and assisting teammates while following established procedures.
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Skills:
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Line of Business Job Description:
Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.Job Description
This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.
Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.
Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.
Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.
Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.
Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.
Review and provide input to technical solution designs from a business point of view and recommend alternatives.
Communicate plans, progress and risks appropriately to the stakeholders and sponsors.
Required Skills:
Bachelors or Masters in computer science, system analysis, Information Systems or related field.
1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role
Strong process/systems analysis, design and documentation.
Strong analytical, critical thinking, and problem-solving skills.
Ability to monitor tight deadlines and adapt to unexpected requirement changes.
Strong Understanding of Risk Management and Data Management Principles
Desired Skills:
Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking
Understanding or experience of programming in SQL, C/C++, Java
Familiarity with databases, such as Oracle, Hadoop, etc.
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This job is responsible for servicing inquires received from Treasury clients via phone, email, or online channels regarding their treasury, cash management, card, merchant and depository products. Key responsibilities include analyzing and determining appropriate handling and resolution of requests. Job expectations include partnering with internal business partners (e.g. Sales & Relationship Managers, Product Managers, Compliance and Operations) to provide resolution to client inquiries, issues, and technical support.
Responsibilities:
Providing technical support to our clients via telephone in support of queries relating to a variety of card-based systems, managing through to resolution with both internal and 3rd party vendor teams.
Possessing a passion and urgency to serve our clients and operate as a client advocate
Researching problems, investigating technical errors, and troubleshooting complex queries for clients.
Assisting Clients with running and building reports and helping to reconcile financial data inconsistencies.
Being consistently focused on delivering quality responses with customer service and adherence to bank policies and procedures at the front of mind.
Working independently with strong organizational skills to overcome challenges with requests and ensures our clients’ needs are satisfied
Professionally resolve conflicts and barriers while appropriately escalating concerns that may jeopardize client experience
Leveraging industry and product expertise to deepen client relationships and mitigate risk throughout the servicing process.
Works collaboratively with other teams to resolve client issues.
Identifies and escalates risks and issues when necessary.
Key Responsibilities:
Service and support of simple and complex requests/inquiries from external clients via phone and email channel with an in depth understanding of self service applications used by clients.
Commercial card experienceor 1-2 years Banking/Financial industry experience.
Client facing experience
Excellent verbal & written communication skills
Strong problem solving & analytical skills
Positive & willing to learn approach
Ability to convey a professional, courteous, and positive attitude when dealing with clients and internal business partners
Self-motivated and results-oriented
Must have active listening skills
Must have critical thinking skills
Multitasking (i.e. ability to navigate multiple computer systems while interacting with the customer)
Experience with Microsoft Office Suite products like Microsoft Outlook, Microsoft Excel , Microsoft PowerPoint, Microsoft Word
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Job Description:
Job Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Leads the development of AML models to support business requirements and the enterprise's risk appetite collaborating with the Technology, Global Financial Crimes, and Model Risk Management teams
Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
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.
As a part of Global Risk Analytics, Global Financial Crimes Modeling and Analytics is responsible for enterprise-wide financial crime model development and implementation, ongoing performance monitoring and optimization, data usage, and research and development utilizing advanced analytical tools and systems. The Global Financial Crimes Modeling and Analytics team is made up of nine sub-teams:
7) Research and Development is responsible for future thinking concepts, innovation coordination, tools and technique assessment, artificial intelligence oversight, and vendor assessment oversight.
Overview of Role:
Responsible for independently conducting quantitative analytics and modeling projects.
Responsible for developing new models, analytic processes or systems approaches.
Creates documentation for all activities and works with Technology staff in design of any system to run models developed.
Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Qualifications:
Ability to work in a large, complex organization, and influence various stakeholders and partners
Self-starter; Initiates work independently, before being asked
Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
Effectively presents findings, data, and conclusions to influence senior leaders
Ability to work in a highly controlled and audited environment
Effective at prioritization, and time and project management
Strong Programming skills e.g. Python, SAS, SQL, or other languages
Strong analytical and problem-solving skills
Required Education and Work Experience:
Master’s degree in related field or equivalent work experience
3+ years (2+ years with a PhD) of experience in model development, statistical work, data analytics or quantitative research
5+ years of leadership and/or management experience
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This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on modeldevelopment/validation
Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches ofdevelopment/validationprojects and identify areas of potential risk
Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
Overview of Global Risk Analytics:
within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all these activities.
Overview of Global Risk Analytics Team:
The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business. The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:
Overview of the Role:
The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business.
The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:
Quantitative Modeling – Develop and maintain risk and capital Models and Model Systems across Retail and GWIM product lines. Models and Model Systems provide insight into many risk areas, including valuation modeling of residential real estate, loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows.
Quantitative Development – Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA’s technical strategy.
Risk and Capital Management Capabilities – Build best in class quantitative solutions that enable the Retail and GWIM lines of business to effectively manage risk and capital, through the application of the disciplined BAU development process that includes extensive interaction with the FLU model owners and stakeholders throughout the quantitative lifecycle.
Infrastructure – Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies, and expansion of quantitative capabilities to better leverage infrastructure and computational resources.
Documentation – Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.
Qualified candidates must be able to work independently to provide sound economic reasoning, statistical analysis and deliver high quality modeling insights as well as modeling documentation. The ideal candidate is self-directed, collaborative, analytical, and proactive in execution and problem resolution. Specific tasks include:
Set priorities related to quantitative modeling in line with the bank’s overall strategy and prioritization.
Develop and design best in class models to satisfy stakeholder requirements.
Identifies continuous improvement through reviews and ongoing monitoring of models, and effective challenges on model development and validation.
Work closely with Technology Team to support model execution.
Collaboration with Enterprise Model Risk Management to support model validations, and quickly and efficiently resolve outstanding issues.
Create sophisticated, value-added analytic systems that support business operations, risk management, operational excellence, regulatory compliance, and research.
Support business units and acting as a subject matter expert on specified quantitative modeling techniques, as well as oversee model performance, model risk and model governance on critical model portfolios.
Work closely with model stakeholders and senior management with regard to communication of submission and validation outcomes.
Required Qualifications:Successful candidates will have a Master or PhD degree in Mathematics, Economics, Statistics, or similar discipline, and a minimum of 5 years relevant experience in statistics, data science, econometrics, and other quantitative analysis.
Successful candidates will possess the following skills:
First-hand experience in large data analysis, statistical model estimation, implementation, and testing
Ability to work in a large, complex organization, and influence various stakeholders and partners
Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others.
Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences.
Strong programming skills in SQL, Python, R
Strong analytical and problem-solving skills
Strong ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines
Strong written, verbal, presentation creation and delivery skills
Desired Qualifications:The ideal candidate will possess the following skills and experience:
Knowledge of financial services industry, consumer credit and products, real estate data and market, and related regulations
Experience with HDFS, HIVE, and Spark
Experience with CCAR and CECL
Ability to apply CI/CD tools (e.g.,, Git, JIRA, Confluence, Pytest, Jenkins, and SonarQube) in model development process
Experience implementing process improvements and automation.
Managerial experience
Data visualizations in Tableau
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
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This job is responsible for servicing inquires received from Treasury clients via phone, email, or online channels regarding their treasury, cash management, card, merchant and depository products. Key responsibilities include analyzing and determining appropriate handling and resolution of requests. Job expectations include partnering with internal business partners (e.g. Sales & Relationship Managers, Product Managers, Compliance and Operations) to provide resolution to client inquiries, issues, and technical support.
LOB Job Description:
Responsible for day to day servicing of Commercial and Large Corp Card clients, varying in complexity. Provides servicing assistance related to general inquiries and research related requests.
Key Responsibilities:
Service and support of simple and complex requests/inquiries from external clients via phone channel with an in depth understanding of Commercial Card products used by clients.
Required Qualifications:
Other Qualifications:
These jobs might be a good fit

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Job Description:
Job Description:
This job is responsible for leading business analysis for a Line of Business (LOB) by producing all financial reporting and disclosures in partnership with senior management, front office, and other business stakeholders. Key responsibilities include applying a knowledge and understanding of product(s), processes, and inherent risks of a product, business or function to analyze and substantiate Profit and Loss (P&L) attributes and balance sheets, establish infrastructure for new products, and approve ledger journal entries.
The Chief Financial Officer (CFO) Group
Responsibilities:
Required Qualifications:
Desired Qualifications:
Skills:
These jobs might be a good fit