Physical Security Systems Engineer Category jobs at Us Bank

Job Description:

This job requires partnership with business function leaders, operations process owners and subject matter experts (SMEs), to provide an end to-end view of their processes, analyze impacts and data, and contribute to the optimization of the organization through data accuracy and completeness.

Key responsibilities include applying knowledge of laws, rules, regulations, and information security concepts (e.g., NIST, COBIT, ISO) to validate indicative data alignment to processes and controls to requirements.
Job expectations include using data analytics, identifying gaps in coverage and data inaccuracies, and support remediation activities.

At least 3 years of related experience required.

Responsibilities:
• Manage the process inventory, reflecting accurate information that supports effective decision making, and ensuring compliance to enterprise policy and standard requirements
• Ensures process information meet enterprise standards, adhere to applicable rules, laws, and regulations, and comply with appropriate treatment of risk
• Identifies information security gaps and remediation strategies
• Process analysis to improve data accuracy and completeness
• Process improvements based on enterprise and Global Technology guidelines, organization maturity, challenges and issue remediation
• Provide end-to-end high-quality view of processes within business functions with proper identification of hand-offs and process connectors
• Support the organization’s short-and-long term strategy
• Supports a strategy of continuous improvement and acts as liaison with Global Technology and Enterprise Process Management teams
• Prepare presentations and process overview utilizing models and complementary data to assist leaders in process re-engineering activities
• Partner with stakeholders to ensure the inventory aligns to GIS policy and standard requirements in support of adherence monitoring

Required Qualifications:
• Prior related experience or business exposure desired and strong delivery mindset
• Analytical and design-oriented mindset
• Data analytics and Problem Solving
• Data driven and Trend Analysis
• Delivery Excellence
• Strong presentation skills
• Excels in working among diverse viewpoints to determine the best path forward
• Excellent verbal and communications skills
• Quality Assurance
• Innovative and Critical thinking skills – ability to assess quantitative and qualitative data to identify key themes that require deeper analysis and assessmentOther Qualifications/Desired Skills:
• Ability to identify opportunities from a process efficiency perspective and continuously challenge current state of GIS processes
• Prior experience in Information Security desirable
• Preferred process improvement and Operational Excellence exposure
• Ability to understand new technologies, intellectually curious
• Commitment to challenging the status quo and promoting positive change
• Experience working in a global environment

Skills:

• Customer and Client Focus

• Interpret Relevant Laws, Rules, and Regulations

• Policies, Procedures, and Guidelines

• Problem Solving

• Quality Assurance

• Business Acumen

• Controls Management

• Innovative Thinking

• Process Management

• Stakeholder Management

• Business Process Analysis

• Data Governance

• Data Privacy and Protection

• Data and Trend Analysis

• Risk Analytics

Job Description:

Job Description:
This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

This job is responsible for defining and leading the engineering approach for Bank of America’s Stablecoin solutions, including complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
• Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
• Creates ideas on designing complex technology and solution development approaches
• Leads the technical oversight for teams in solution development including design reviews and code within own domain
• Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
• Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
• Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution
• Ensures that the Stablecoin design and engineering approach for complex features are consistent with the larger payments ecosystem
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Required Qualifications:

• Minimum 8 years work experience in Software Engineering
• Must have experience in crypto currency solutions design
• Knowledge of emerging blockchain trends, protocols, and experience with layer-2 scaling solutions.
• Knowledge of blockchain/digit assets
• Deep understanding of custody and technical patterns in digital
• Understanding of retail/commercial stablecoin environment

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

The following laws or regulations restrict or prohibit the hiring of individuals with certain specified criminal history for the position: FDIC, FINRA.

Job Description:

Job Description:

Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

Responsibilities:

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes

Candidates should meet all or a subset of the following technical skills:-

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software

• Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)

Minimum Education Requirement:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience

Qualifications:

• At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

Candidates should have at least one of these following skills and preferably have at least two of these skills:-

• Strong analytical and problem-solving skills

• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

• Experience with large scale data sets with structured or unstructured data

• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

• Experience implementing process improvements and automation

Job Description:

Responsibilities:

• Develop and deliver complex requirements to accomplish business goals.

• Ensure that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset.

• Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.

• Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.

• Develop or direct software system testing or validation procedures, programming, or documentation.

• Design, automate, and maintain large scale, enterprise-wide web applications using Angular, Java, SpringBoot, and Node.

• Utilize customer UI and interaction techniques to build frictionless multiple factor user authentication, credential maintenance, and authentication step up flows in digital channels.

• Engineer and design continuous integration, continuous deployment, build tool, version control, and test-driven development tools by utilizing Java and JavaScript.

• Design test driven automation frameworks using middleware technologies including SOAPUI, REST, XML, and JSON.

• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

• Master's degree or equivalent in Computer Science, Computer Information Systems, Management Information Systems, Engineering (any), or related: and

• 3 years of experience in the job offered or a related IT occupation.

• Must include 3 years of experience in each of the following:

• Designing, automating, and maintaining large scale, enterprise-wide web applications using Angular, Java, SpringBoot, and Node;

• Utilizing customer UI and interaction techniques to build frictionless multiple factor user authentication, credential maintenance and authentication step up flows in digital channels;

• Engineering and designing continuous integration, continuous deployment, build tool, version control, and test-driven development tools by utilizing Java and JavaScript; and,

• Designing test driven automation frameworks using middleware technologies including SOAPUI, REST, XML, and JSON. Employer will accept pre- or post-Master's degree experience in meeting the minimum requirements.

Job Description:

Job Description:

Role Responsibilities:

• Develop and execute a comprehensive strategy for integrating AI into Cyber Threat Defense operations.
• Build and lead a team of AI engineers, data scientists, and security professionals focused on applying AI to threat detection, response automation, and adversarial simulation.
• Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture.
• Lead the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response.
• Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases.
• Guide architectural transformations to support scalable AI integration across the enterprise.
• Serve as a thought leader and subject matter expert on AI in cybersecurity, advising senior leadership and influencing enterprise-wide strategy.
• Ensure responsible and ethical use of AI in security operations, including model governance, bias mitigation, and explainability.
• Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities.
• Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.

Required Qualifications

• Proven leadership in building and managing AI-focused cybersecurity teams.
• 7+ years of hands on experience in cybersecurity, specifically in Offensive Security or Threat Defense Operations.
• Hands-on experience building agentic AI systems, LLMs, and custom ML model development.
• Strong understanding of offensive security tactics and how AI can enhance red teaming, attack path mapping, and threat modeling.
• Experience leading large-scale technical projects involving security data pipelines, model deployment, and automation.
• Deep knowledge of cyber threat actor behaviors, attack vectors, and defensive countermeasures.
• Ability to translate complex technical concepts into actionable strategies for senior executives.
• Familiarity with AI governance, model risk management, and regulatory considerations in financial services.
• Demonstrated ability to drive consensus across diverse stakeholders and influence enterprise-wide initiatives.
• Strong communication and presentation skills, especially in executive and cross-functional settings.

Desired Qualifications

• Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
• Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
• Experience with modern data platforms, cloud-native architectures
• Familiarity with adversarial machine learning and AI security risks.
• Background in data engineering, feature engineering, and model lifecycle management.
• Prior work in regulated industries with a focus on compliance and risk mitigation.

This job will be open and accepting applications for a minimum of seven days from the date it was posted.

Job Description:

Job Description:

Quantitative Engineer Analyst is the entry level role to becoming a Quantitative Engineer. Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

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.

Job Responsibilities:

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation on models and testsfor internal and regulatory purposes

Skills:

• High level of intellectual curiosity

• Feel 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

• Well organized, and has attention to detail