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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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Job Description:
This job is responsible for providing advice and valuable financial solutions to complex Global Commercial Banking clients and prospects. Key responsibilities include serving as the primary point of contact or trusted advisor and acquiring, deepening, and maintaining profitable relationships, collaborating with teammates, and facilitating client relationships with Product Specialists. Job expectations include having knowledge of the bank's products and services in order to identify business development, cross-selling opportunities for new and existing clients as well as focusing on overall client satisfaction.
Responsibilities:
Skills:
Required Qualifications:
Desired Skills:
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This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.
Responsibilities:
Skills:
Required Education, Skills, and Experience
• Bachelor’s degree with a quantitative emphasis in areas such as mathematics, engineering, or computer science
• Proven programming skills (Python, C++, SQL, or equivalent object-oriented programming), with relevant industry experience
• Ability to work well within a team based development environment
• Can effectively use modern software development and lifecycle tools enabling strong source control and code review
• Strong problem solving skills with the ability to tackle issues independently
• Ability to get to grips with a large and complicated systems
• Great communication skills, including the ability to write clear and concise documentation
• A team player who can work in well with existing systems while still finding a way to impart a personal style
Desired Skills and Experience
• Process automation experience a plus
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Job Description:
Job Description:
This job is responsible for analyzing the day-to-day issues, researching, and providing resolution for various issues identified within a business unit. Key responsibilities include building new procedures, completing complex non-routine analytics, creating reports, and reviewing exception testing and processing. Job expectations include supporting continuous improvement of processes by identifying trends and understanding the operations environment.
Responsibilities:
Skills:
Required Qualifications:
Desired Qualifications:
Minimum Education Requirement:
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Job Description:
The Information Security Officer will be a member of the Business Information Security Officer's (BISO) organization and work closely with the line of business Front Line Units (FLU) / CIO executives. In this role, you will be supporting a group/team to develop a deep understanding of the business in order to have specialized information security risk-based discussions. This relationship will ensure a focus on the right risk priorities. You will also provide guidance on information security topics, policies and controls.Scale/Scope
• Contribute to the ongoing information security initiatives and improvements development, implementation and maintenance of information security for FLU/Ops
• Serves as an Information Security subject matter expert and participates in the development, implementation and maintenance of information security for FLU/Ops
• Aligned to Fraud Authentication , Financial Center, and Automated Teller Machines channel segments to drive a security strategy and to ensure appropriate security by design requirements execution
• Provides guidance and advocacy regarding the prioritization of investments that impact information security
• Advises management on risk issues related to information security and recommends actions in support of the bank's wider risk management and compliance programs
• Monitors information security trends internal and external to the bank and keeps leadership informed
• Manages quality control and reporting
• Ensures compliance with policies and lawsRequired Skills
• Information Security & Technology professional with 10+ years’ experience
• 7+ years of risk management experience with proven ability to effectively apply risk principles to challenging business situations
• Subject matter expertise in application security, vulnerability testing and development of risk appetite
• Experience evaluating cyber security controls and providing guidance for platform or distributed computing platforms (Cloud, PaaS)
• Experience evaluating third party information security control and providing guidance to reduce risk on identify observations
• Experience with information security for No SQL, Big Data , and unstructured data stores (Cassandra, Hadoop, and /or Teradata)
• Knowledge in Windows, Midrange and Mainframe Platforms with emphasis on security application security controls
• Exceptional executive presentation and communication skills
• Excellent influencing and problem resolution skills
• Advises LOB management on risk issues related to information security and recommends actions in support of the bank's wider risk management and compliance programs
• Ability to be comfortable delivering messages across a wide spectrum of individuals having varying degrees of technical understanding
• Strong leadership skills and qualities which enable you to work with peers and various levels of managementDesired Skills:
• Bachelors and/or Master’s degree in Computer Science, Information Technology or related field
• Experience working on cloud control assessment in Microsoft Azure, Amazon Web Services and Google Cloud Platform environments
Risk Management
• Drives GIS/FLU/Ops risk deliverables
• Collaborates with risk partners on info security critical priorities
• Participates in senior FLU/Ops specific Risk Management & Business Continuity Routines
• Identifies and measures global information security (GIS) controls on most critical business processes or channelsLeadership/Strategy
• Ability to build strong Partner relationships with peer technology groups and supported FLU/Ops
• Supports the triage process with the client and helps them understand the GIS support structure
• Drives required risk culture and partnership with peer technology teams and supported FLU/Ops
• Participates in key operating routines to drive information security risk strategy
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** On call and weekend rotation required**
Responsibilities include but are not limited to:
Crisis and Event Response
• Serve in a critical response role during crisis events, coordinating efforts to mitigate impact and facilitate recovery.
• Responsible for the continuous improvement, development and execution of crisis response plans, ensuring alignment with organizational business continuity strategies.
• Coordinate with cross-functional teams to prepare for and respond to incidents, including cyber threats, natural disasters, and other emergencies.
Documentation and Reporting
• Maintain up-to-date documentation of operational event response plans, procedures, protocols, and incident reports.
• Provide regular updates to senior management on the status of related business continuity initiatives and response activities.
Continuous Improvement
• Stay informed about industry best practices, regulatory requirements, and emerging threats related to business continuity and cybersecurity.
• Identify opportunities for process improvement and contribute to the enhancement of the organization's resilience capabilities.
• Lead or participate in Project Management activities
Required Qualifications
• 3+ years of experience in crisis management, or a related role, preferably within the cybersecurity sector.
• Strong analytical skills and the ability to assess complex situations and develop effective solutions.
• Excellent communication and interpersonal skills, with the ability to collaborate with diverse teams and stakeholders
• Experience with risk management frameworks and methodologies
• Knowledge of disaster recovery planning and execution, including IT disaster recovery strategies.
• Understanding of cybersecurity principles, threats, and vulnerabilities that may impact business operations.
• Ability to analyze complex situations, identify vulnerabilities, and develop effective solutions.
• Strong problem-solving skills to address challenges and make informed decisions during event/crisis
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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.
Responsibilities:
Conducting client due diligence (CDD) and enhanced due diligence (ECDD) in accordance with internal policies, procedures and regulatory guidelines
Review of refresh requirements for assigned jurisdiction in line with related Client Identification Profile (CIP)/CDD Procedures to ensure adequacy and accuracy before the requirements are sent to the client.
Liaise with sales/ client outreach teams to obtain and validate correct documentation to fulfill refresh requirements
Perform client refresh through the review of client documentation, vendor databases and data entered into proprietary systems to ensure all refresh requirements are met
Ensure all jurisdictional regulatory requirements related to KYC are adhered to
Support business with KYC related queries and requests
Participate in remediation, internal/external Audits (where applicable)
Maintains accuracy of client portfolio using internal and external comparison tools
Performs research and conducts moderately complex analyses using established techniques, including transactions that require special handling and exception handling
Explores methods to enhance processes, further reduce risks, and boost client experience
Creates reports and liaises with internal partners to ensure proper client reporting and assist with regulatory reporting
Escalates potential risks and exposures to manager in a timely manner
Assists with ad-hoc projects, new processes, or initiatives requiring coordination among subject matter experts representing multiple product areas or functions
Job Requirements:
2+ years of financial services experience
Excellent verbal and written communications skills
Documented experience performing in a process-oriented production environment that changes periodically
Familiar with MS Office Suite(Excel/Word/Outlook/Access)
Work in a team environment
Organize work, prioritize tasks and handle multiple assignments simultaneously
Successfully meet tight deadlines while ensuring data accuracy and integrity
Work and execute with minimal supervision or remote management
Skills:
Attention to Detail
Critical Thinking
Data Collection and Entry
Recording/Organizing Information
Research
Fraud Management
Interpret Relevant Laws, Rules, and Regulations
Problem Solving
Quality Assurance
Risk Management
Adaptability
Customer and Client Focus
Prioritization
Result Orientation
Written Communications
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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
These jobs might be a good fit