Automation Engineer Category Technology & jobs at Us Bank

Responsibilities:

• Lead analysis to optimize deployment and efficacy of new authentication tools.

• Explore AI solutions and tools to continually improve fraud control economics

• Navigate internal governance and regulatory space to deploy AI and other advanced tools in a well-governed manner (model risk management and AI toll gates)

• Develop compelling vision and data driven business cases for transformation initiatives. Lead efforts to prioritize authentication and other fraud-related investments across channels (online, call center, in-person).

• Facilitate regular routines for stakeholders and senior executives.

• Build and lead cross-functional teams to solve complex, high impact business problems.

• Builds and maintains strategic relationships with peers and counterparts across product, technology, and business control functions

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

• Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics

• Identifies business trends based on economic and portfolio conditions and communicates findings to senior management

• Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights

Required Qualifications:

• 5+ years of Fraud experience

• B.A./B.S in Computer Science, Data Science, Engineering, Business, Statistics or quantitative related field

• SQL and/or SAS coding ability

• Advanced knowledge of Excel

• Excellent communication and presentation skills

• Experience analyzing and optimizing complex systems and controls

• Experience managing competing priorities

• Ability to understand the information needs of business users and senior leaders and build to those specifications with minimal direction

Desired Qualifications:

• 10+ years of Fraud experience

• Experience deploying and using AI-based solutions to drive business value

• Experience optimizing deployment and ongoing management of risk mitigation tools

• Advanced degree in Computer Science, Data Science, Engineering, Business, Statistics or quantitative related field

• Fraud and/or Claims background with focus on Authentication

• Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Deposits, Online Retail Merchant, Payment Processing, Digital, Call Center, etc.)

• Demonstrated ability to manage cross-functional teams

Skills:

• Business Analytics

• Analytical Thinking

• Data and Trend Analysis

• Fraud Management

• Problem Solving

• Artificial intelligence / Machine Learning

• Innovative Thinking

• Statistical Design of Experiments and Solution Testing

• Presentation Skills

• Risk Management

• Oral and Written Communications

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:

This job is responsible for building and leading a team to deliver technology products and services that meet business outcomes. Key responsibilities include developing a technology strategy, ensuring technology solutions comply with applicable standards, promoting design, engineering, and organizational practices, and advocating and advancing modern, Agile solution delivery practices. Job expectations may include coaching, mentoring, providing feedback and hands on career development, identifying emerging talent, fostering leadership skills, and managing stakeholders.

Responsibilities:

• Builds and manages teams by performing financial activities to inform workforce strategy and hiring practices, setting and tracking maturity and quality objectives, and training employees/teams to address feedback and achieve quality and performance objectives

• Facilitates performance and career development of employees/teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills

• Manages solution delivery and application performance in production (app health, resiliency, performance, security, enterprise data management standards, audit exams and reviews), ensuring all relevant risk, financial, and compliance policies are met

• Manages relationships with business and technology partners and leads and creates followership in Communities of Practice in the organization

• Contributes to the technology strategy for their technical domain

• Creates an inclusive and healthy working environment and helps to resolve organizational impediments/blockers

• Ensures that execution is aligned with product strategy by working with product management and other stakeholders

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:

• 10+ Years of experience with Network Solutions with prior architecture and/or architecture group lead experience

• Work across the business lines, network operations and technology teams to evaluate and create architectural visions for complex technology solutions

• Prioritize functional and non-functional requirements into workload backlog using Kanban, JIRA and Agile methodologies

• Strong knowledge, configuration and trouble-shooting skills of routing protocols to include ISIS and BGP

• Must demonstrate strong experience with IP multicast, Route Reflectors, MPLS, LDP, Segment Routing (SR-MPLS/SRv6), L2VPN and L3VPN (Unicast/Multicast)

• Must have strong network security knowledge and familiarization with segmentation, virtualization, cryptography, digital certificates, secure key management and encryption protocols (TLS, IPSEC, MACSec)

• Familiarization with data center protocols such as EVPN & VXLAN

• Familiarization with optical transport technologies such as DWDM and 400G/800G-ZR/ZR+.

• Knowledgeable with QoS concepts and queuing strategies, experience with QoS configurations, diagnosing and tuning of QoS and performing bandwidth analysis

• Excellent troubleshooting and analytical skills in a complex multi-layered network environment

• Excellent customer service skills including reporting, organization, written and oral communication and task prioritization

• Cisco CCNA/CCNP/CCIE routing certifications or equivalent work experience required

Desired Qualifications:

• Architecture experience within a large service provider

• Strong program management skills necessary to lead multi-discipline technology teams

• Strong executive leadership communications skills

Skills:

• Influence

• Risk Management

• Solution Design

• Stakeholder Management

• Technical Strategy Development

• Analytical Thinking

• Application Development

• Collaboration

• Result Orientation

• Solution Delivery Process

• Agile Practices

• Architecture

• Automation

• Data Management

• DevOps Practices

Bachelor’s degree or equivalent work experience.

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

This job is responsible for providing leadership, technical direction and oversight to a team delivering technology solutions. Key responsibilities of the job are to provide oversight of the design, implementation, and maintenance of complex computer programs, align technical solutions to business objectives, and ensure that coding practices/quality comply with software development standards. Job expectations include conducting multiple software implementations and applying both depth and breadth in knowledge of several technical competencies.

Responsibilities:

• Designs, develops and is accountable for feature delivery
• Applies enterprise standards for solution design, coding and quality
• Ensures solution meets product acceptance criteria with minimal technical debt
• Guides the team on work breakdown and execution
• Works with the Product Owner to ensure that product backlog/requirements are healthy, with clear acceptance criteria
• Plays a team lead role (as an individual contributor) and mentors the team
• Guides team members with skills and practices (planning and estimation, peer reviews, and other engineering practices)
• Manage and support vendor-hosted applications deployed on Linux/Unix environments, ensuring stability, performance, and compliance with enterprise standards.
• Provide end-to-end support for cleared derivatives operations across AMER markets, with a focus on Futures and Options trading and clearing.
• Maintain and optimize exchange connectivity and clearing gateway infrastructure, ensuring reliable trade flow and settlement through vendor-supported platforms.
• Serve as a Level 3 escalation resource for incidents on Linux/Unix servers, providing advanced troubleshooting and infrastructure support.

Required Qualifications

• Proven experience supporting Futures and Options trading and clearing across AMER markets, with a strong understanding of trade lifecycle and post-trade operations.
• Hands-on expertise in managing clearing gateways and exchange connectivity, ensuring seamless integration and settlement across major U.S. exchanges.
• Proficiency in Oracle-based tools such as Toad and MySQL for performing data analysis, reconciliation, and reporting within trade and clearing environments.
• Strong working knowledge of Linux/Unix systems, including server administration, log analysis, and performance tuning in production environments.
• Ability to troubleshoot and escalate complex application and infrastructure issues, serving as a Level 3 support resource.
• Effective collaboration with cross-functional teams including networking, infrastructure, and vendor support to maintain operational stability.
• Strong hands-on experience in Linux/Unix server administration
• proficiency in managing vendor-hosted applications deployed on Linux platforms, ensuring high availability, reliability, and compliance with enterprise standards.
• Solid understanding of network architecture, including IP configuration, routing, DNS, and firewall management to support secure and scalable application environments.
• Experience configuring and maintaining firewall rules, network settings, and virtual systems (e.g., VMware, KVM, or cloud-based infrastructure) to support application deployment and system integration.

Desired Qualifications

• Knowledge of network architecture and virtual systems, with the ability to work closely with networking teams to configure firewall rules, network settings, and virtual environments for secure application deployment.
• Exposure to automation and system enhancement initiatives aimed at improving trade lifecycle efficiency and reducing manual intervention.
• Strong documentation and communication skills for creating workflows, incident reports, and compliance artifacts.
• Familiarity with ITIL or similar service management frameworks for incident, problem, and change management.
• Experience managing projects related to compliance, including regulatory reporting, audit readiness, and control implementation.
• Background in supporting initiatives, including infrastructure upgrades, system migrations, and compliance integration.
• Experience with cloud-based infrastructure and hybrid environments, including deployment and management of Linux-based virtual machines and containers.

Skills:

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

Minimum Education Requirement - Bachelor Degree or Equivalent Professional Experience