

Strategic Initiatives and Process Engineering Managerrole reports to the head of CMDO Strategic Initiatives Executive and will be responsiblemanaging the assessment, development, execution, and oversight of process improvement and transformation initiatives to achieve CMDO short and long-term strategic goals.
Responsibilities:
Solves complex problems and delivers on business initiatives and processes by applying subject matter expertise and technical knowledge of the business
Performs analytics, assessments, and/or interpretation of data and/or information to identify business opportunities, derive insights, and measure outcomes
Understands, builds, improves and/or executes business initiatives and/or processes, while partnering with stakeholders and partners
Engages with key stakeholders, partners, and business leadership to deliver on business objectives
Develops strategic and tactical plans to drive progress towards business goals and objectives
Strong ability to communicate with executives, business leaders, and technical teams to ensure alignment and transparency across initiatives
Required Qualifications:
5-8 years of experience in Process Engineering, Business Analytics and Project Management & Support
Transform complex information and data into clear, concise and visually engaging slides. Strong data visualization and design, and storytelling abilities.
Engineers solutions to complex problems in support of performance plan objectives to resolve issues and risks, optimize efficiency, reduce variability, and improve controls, effectiveness, quality, and sustainability
Demonstrate intellectual curiosity. Ability to read and understand complex matters, anticipate risks and summarize key information.
Ability to overcome obstacles and solve problems quickly and efficiently. Self-starter with excellent anticipation skills; problem solving; follow up
Experience developing content that enables C-suite leadership alignment and decision making
Strong communication skills: ability to communicate effectively both in writing and verbally and feel comfortable delivering insights and recommendations to senior management
Ability to manage multiple projects while meeting deadlines and quality standards
High attention to detail and strong organizational skills
Demonstrated dependability and sense of urgency. Comfortable working with people at all organizational levels
Ability to work well under pressure, adapt to unexpected events, prioritize and multi-task in a deadline driven environment
Ability to navigate in a highly-matrixed environment
Comfortable taking initiative and being resourceful/entrepreneurial
Desired Qualifications:
Strong leadership skills with experience managing direct reports and cross-functional teams
Exceptional communication and stakeholder management skills
Familiarity with JIRA
Skills:
Business Acumen
Critical Thinking
Result Orientation
Analytical Thinking
Collaboration
Oral Communications
Python
PySpark
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

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 driving and executing on internal control discipline and operational excellence within a Line of Business (LOB) or Enterprise Control Function (ECF). Key responsibilities include providing analytical and administrative support for LOB or ECF specific processes and tools to drive adherence to enterprise-wide standards. Job expectations include monitoring and testing controls and implementing quality assurance and quality control processes within the LOB or ECF by evaluating data to help identify, track, and report issues and control improvements for remediation.
Responsibilities:
Skills:
Key Responsibilities:
Required Skills:
Desired Skills:
משרות נוספות שיכולות לעניין אותך

This job is responsible for answering inbound calls and initiating outbound calls within a call center to assist new and existing clients with determining the best solution for financing the purchase of a home, refinancing an existing mortgage, or obtaining a new home equity line of credit. Key responsibilities include analyzing the clients financial goals, determining the most optimal lending product solution, submitting the mortgage application, assisting clients with gathering supporting loan documentation, and keeping clients informed throughout the mortgage loan process.
This position is subject to SAFE Act registration requirements. Pursuant to the SAFE Act requirements, all employees engaged in residential loan mortgage originations must register with the federal registry system and remain in good standing. Since this position requires SAFE Act registration, employees are required to register and to submit to the required SAFE Act background check and registration process. Failure to obtain and/or maintain SAFE Act registration may result in disciplinary action up to and including termination.
Responsibilities:
Required Qualifications:
Desired Qualifications:
Skills:
High School Diploma / GED / Secondary School or equivalent
1st shift (United States of America)משרות נוספות שיכולות לעניין אותך

Job Description:
Job Description:
Responsibilities:
Review loan documentation in compliance with bank policies and procedures.
Independently research and discuss loan details with line partners, demonstrating confidence and subject matter expertise.
Loan bookings of varying complexity and ensure world-class accuracy.
Maintain responsibility for input loan bookings into SOR (System of Record) and minimize controllable rework.
Collaborate with Client Managers, Credit and Portfolio Officers, agency management, legal counsel, and internal support units to ensure seamless transaction execution
Minimum Qualifications:
Minimum 2 years’ experience with commercial and/or consumer loan documentation review.
Familiarity with GFS and Loan IQ systems.
Strong written and verbal communication skills.
Excellent organizational and multitasking abilities.
Detail-oriented with a high level of accuracy.
Proficient in Microsoft Word and Excel.
Ability to work effectively in a team environment, including with remote teammates.
Skills:
Attention to Detail
Legal Structures and Legal Forms
Oral Communications
Prioritization
Recording/Organizing Information
Written Communications
Data Collection and Entry
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

Strategic Initiatives and Process Engineering Managerrole reports to the head of CMDO Strategic Initiatives Executive and will be responsiblemanaging the assessment, development, execution, and oversight of process improvement and transformation initiatives to achieve CMDO short and long-term strategic goals.
Responsibilities:
Solves complex problems and delivers on business initiatives and processes by applying subject matter expertise and technical knowledge of the business
Performs analytics, assessments, and/or interpretation of data and/or information to identify business opportunities, derive insights, and measure outcomes
Understands, builds, improves and/or executes business initiatives and/or processes, while partnering with stakeholders and partners
Engages with key stakeholders, partners, and business leadership to deliver on business objectives
Develops strategic and tactical plans to drive progress towards business goals and objectives
Strong ability to communicate with executives, business leaders, and technical teams to ensure alignment and transparency across initiatives
Required Qualifications:
5-8 years of experience in Process Engineering, Business Analytics and Project Management & Support
Transform complex information and data into clear, concise and visually engaging slides. Strong data visualization and design, and storytelling abilities.
Engineers solutions to complex problems in support of performance plan objectives to resolve issues and risks, optimize efficiency, reduce variability, and improve controls, effectiveness, quality, and sustainability
Demonstrate intellectual curiosity. Ability to read and understand complex matters, anticipate risks and summarize key information.
Ability to overcome obstacles and solve problems quickly and efficiently. Self-starter with excellent anticipation skills; problem solving; follow up
Experience developing content that enables C-suite leadership alignment and decision making
Strong communication skills: ability to communicate effectively both in writing and verbally and feel comfortable delivering insights and recommendations to senior management
Ability to manage multiple projects while meeting deadlines and quality standards
High attention to detail and strong organizational skills
Demonstrated dependability and sense of urgency. Comfortable working with people at all organizational levels
Ability to work well under pressure, adapt to unexpected events, prioritize and multi-task in a deadline driven environment
Ability to navigate in a highly-matrixed environment
Comfortable taking initiative and being resourceful/entrepreneurial
Desired Qualifications:
Strong leadership skills with experience managing direct reports and cross-functional teams
Exceptional communication and stakeholder management skills
Familiarity with JIRA
Skills:
Business Acumen
Critical Thinking
Result Orientation
Analytical Thinking
Collaboration
Oral Communications
Python
PySpark
משרות נוספות שיכולות לעניין אותך