

Skills:
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.
משרות נוספות שיכולות לעניין אותך

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
משרות נוספות שיכולות לעניין אותך

This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the implementation and 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:
Turn modeler code into a highly scalable big-data production application
Identify 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
Lead and provide 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
Work closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Perform analysis on large datasets and interpret results using both qualitative and quantitative approaches
Minimum Education Requirement:Master’s degree in related field or equivalent work experience
Required Skills and Experience:Successful candidates will have a minimum 10 years relevant experience and will possess the following skills:
Advanced big data software development skills in both python and spark
Deep expertise in Loss and Risk Forecasting Automation: odds calculations, cash flow calculations, model monitoring, back testing, reporting, etc.
Sees the broader picture and can identify new methods for doing things
Experience with Linux operating system and command line tools
Familiar with software design principles: separation of concerns, single responsibility, DRY, etc.
Understanding of algorithms and data structures
Experience with version control systems, i.e., Git
Knowledge of SQL
Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
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
Experience implementing models into various production environments
Demonstrated leadership skills; Ability to exert broad influence among peers
Strategic thinker that can understand complex business challenges and potential solutions
Ability to work in a large, complex organization, and influence various stakeholders and partners
Ability to work in a highly controlled and audited environment
Desired Skills and Experience:The ideal candidate will possess the following skills and experience:
GRA Core Platform (GCP) experience
Familiar with systems architecture concepts: service based, layered, microservices, scalability patterns
Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
Experience creating, optimizing, and debugging software solutions deployed into distributed computing environments (experience with Spark is a plus)
Familiar with use of vectorization and data locality concepts to optimize software efficiency
Experience with high performance Python libraries, i.e., Numpy, Numba, Cython
Experience with LaTeX
Familiarity with SDLC tools: unit testing libraries, Jira, Jenkins
Consumer Financial Product Industry experience
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
משרות נוספות שיכולות לעניין אותך

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:
Required Qualifications:
1+ years of experience working with customers.
1+ years of experience handling difficult situations with customers.
Intermediate proficiency (1-3 years of experience) in written (including grammar and spelling) and verbal communications
Comfortable receiving ongoing performance feedback and coaching.
Ability to engage with customers, begin a conversation, build rapport, and handle objections.
Comfortable receiving ongoing performance feedback and coaching.
Comfortable with ongoing change and learning new technology/processes.
Ability to analyze and resolve customer inquiries.
Ability to provide a positive customer experience through creative solutions.
At least an intermediate ability in computer skills.
Ability to navigate multiple computer systems while interacting with the customer.
Desired Qualifications:
משרות נוספות שיכולות לעניין אותך

Key responsibilities:
Review and challenge key capital management activities, including banking book risk-weighted assets (RWA) calculations and implementations
Review and challenge Basel rule compliance documentation and capital policy interpretations
Review Business Requirement Documentation and technology tools/capital calculators for alignment with U.S. Basel rules
Review and challenge data related to capital calculations, including exposure categorization and trends in RWA usage
Assess capital risks related to new products and transaction types
Assess risks and implications of new capital rule proposals
Develop and demonstrate acumen for the identification of capital risks and mitigants (including market and economic environment and connectivity to other risk stripes)
Conduct and ensure appropriate and adequate documentation for all independent risk reviews and risk points of view, including appropriate escalation and communication to senior management
Critical success measures:
Deliver against the book of work for Enterprise Capital Risk Management
Ensure that we are providing appropriate monitoring and analysis that allow us to support high quality risk insights
Connection to and execution of responsibilities of the independent risk function
Core Competencies:
Vision- Takes a long-term view and builds a shared vision with others; acts as a catalyst for organization change. Influences others to translate vision into action
Communication- Can articulately paint credible pictures & visions of possibilities and likelihoods
Resilience- Deals effectively with pressure; remains optimistic and persistent, even under adversity. Recovers quickly from setbacks. On occasion required to take an unpopular stand
Collaboration- Develops networks and builds alliances; collaborates across boundaries to build Capital relationships and achieve common goals. Influencing and negotiating across external stakeholders (regulators) as well as internal groups including LOB Risk teams, Corporate Treasury, GRRP, Audit & Compliance to drive execution
Interpersonal Skills- Treats others with courtesy, sensitivity, and respect. Considers and responds appropriately to the needs and feelings of different people in different situations
Leveraging Inclusion- Fosters an inclusive workplace where individual differences are valued and leveraged to achieve the vision and mission of the organization. Exposure and involvement with Employee Engagement initiatives
Developing Others- Develops the ability of others to perform and contribute to the organization by providing ongoing feedback and by providing opportunities to learn through formal and informal methods
Key Requirements:
Strong analytical skills, including both analysis of financial data and written reports as well as regulatory rules and guidance
3-5 years of Treasury, Finance, Accounting or Risk Management experience; knowledge of capital rules and application of the rules
Proficiency with PowerPoint, Word and Excel. Writes in a clear, concise, organized, and convincing manner for the intended audience
Experience with SQL or other programming languages. Role may require querying databases and capital data analysis
Strong business-centric mindset with ability to utilize sound business judgment and tailor approach to drive optimal business outcomes
Skills:
Analytical Thinking
Credit and Risk Assessment
Critical Thinking
Portfolio Analysis
Decision Making
Oral Communications
Presentation Skills
Technical Documentation
Written Communications
Active Listening
Issue Management
Liquidity Management
Monitoring, Surveillance, and Testing
Regulatory Compliance
משרות נוספות שיכולות לעניין אותך

Job Description:
Job Description:
The role participates in the production, review and analysis of the derivatives and securities transactions captured in the FRY9C and FFIEC031 Consolidated Financial Statements for Holding Companies and Banks and Banks along with other off-balance sheet details. Responsibilities also include ensuring the reporting is accurate, complete, timely and in conformance with regulatory instructions. Additionally, the role is the liaison for second and third line of defense reviews.
This job is responsible for reviewing regulatory returns for locally regulated legal entities including broker dealers, swap dealers and other legal entities. Key responsibilities include overseeing and performing control processes and variance analysis, reviewing and preparing data submissions, and supporting change initiatives. Job expectations include preparing and analyzing financial reports, issue resolution (including data, process and system), performing risk analysis, working with a team and communicating effectively.
Responsibilities:
Prepare, review, and analyze data reported on U.S. regulatory reports (FR Y-9C, FFIEC 031)
Execute key reporting and process controls, including period-over-period trends, variance analysis, and cross report reconciliations.
Monitor changes to reporting instructions and business product strategies
Validate conformance with regulatory reporting instructions through a deep understanding of requirements and effective challenge of results.
Drive identification, remediation, monitoring and escalation of issues impacting regulatory reporting as well as partner with Technology and Data Management Teams to drive improvements in data quality.
Establish working relationships with data owners across multiple lines of business to support complete and timely data submissions.
Provide support and subject matter expertise for data quality improvement and sourcing automation projects by communicating reporting requirements, performing UAT testing, and other activities as needed.
Manage cross-report/cross-schedule queries from GCOR, Audit, and In Line QA
The candidate must demonstrate initiative, a commitment to continuous learning, and the ability to adapt to changing demands and requirements.
Provide guidance for interpreting and understanding complex regulatory requirements.
Reviews and prepares complete and accurate regulatory reporting returns in a timely and well controlled manner
Reviews and prepares reconciliations and variance analysis for daily/monthly/quarterly computations
Executes trend and analytical reporting related to computations
Works with internal control functions
Serves as lead with local regulator and other regulatory examination inquiries
Supports regulatory change projects by leading the production aspects of testing and documentation
Drives Operational Excellence initiatives to streamline processes improvements
Required Qualifications:
5+ years of professional experience in Regulatory Reporting
Knowledge and understanding of regulatory reporting instructions
Analytical, critical thinking and problem-solving capabilities
Strong technical accounting skills and knowledge
Able to effectively manage multiple priorities while working both independently and as part of a team
Excellent written and verbal communication skills
Desired Qualifications:
Degree in Accounting/Finance
Derivatives and securities subject matter expert
Skills:
Data and Trend Analysis
Financial Accounting
Interpret Relevant Laws, Rules, and Regulations
Regulatory Compliance
Risk Management
Attention to Detail
Continuous Improvement
Financial Analysis
Project Management
Reporting
Analytical Thinking
Oral Communications
Regulatory Relations
Stakeholder Management
Written Communications
משרות נוספות שיכולות לעניין אותך

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.
Responsibilities:
Required Qualifications:
Desired Qualifications:
Skills:
משרות נוספות שיכולות לעניין אותך

Skills:
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.
משרות נוספות שיכולות לעניין אותך