Red Team Senior Lab Administrator jobs at Bank Of America in United States, Chicago

LOB Job Description:

Treasury Technical Engagement Team. This position supports Treasury Sales Officers, Implementation Advisors and Treasury Services Specialists with the on-boarding of new Large Corporate and Commercial clients implementing complex Treasury Services products within US and Canada. The individual must obtain a broad and in-depth knowledge of the various functions to adequately consult with clients, explain the options available to them and gather their requirements for implementing those services. This position will be the primary contact for all technical aspects associated with the implementation of selected services and therefore must be the client advocate with product teams. The value this individual brings to the team and to the organization is the ability to build trust and confidence with clients and ensure the bank effectively delivers an excellent client experience during these technically complex implementations.

This Treasury Technical Consultant position supports Treasury Sales Officers, Implementation Advisors and Treasury Services Specialists with the on-boarding of new Large Corporate and Commercial clients implementing complex Treasury Services products within US and Canada. The individual must have a broad and in-depth knowledge of the various payments, receipts and reporting services as well as data transmission protocols in order to adequately consult with clients, explain the options available to them and gather their requirements for implementing those services.

LOB Responsibilities

• Acts as liaison between the client, vendor, and business partners.
• Works closely with clients and business partners to gather and document requirements.
• Applies business analysis and project management functions.
• Provides technical knowledge to support end to end design requirements.
• Utilizes a project plan throughout the implementation.
• Facilitates weekly meetings, provides minutes, tracks follow up items, and next steps.
• Builds UAT Sandbox and coordinates testing between client and vendor.
• Works collaboratively with other departments impacting projects.
• Manages each project from User Acceptance Testing through to Move to Production.
• Identifies and escalates risks and issues if necessary.
• Engages in demos and technical support to internal teams and clients.
• Works under minimal supervision on high complexity client requests.

LOB Required Qualifications & Skills:

• 2+ years’ experience managing third-party vendor throughout the project lifecycle including onboarding, integration and performance monitoring.
• 1+ year experience in end-to-end project management from project initiation through closure.
• Experience in facilitating joint meetings with vendors and clients to track status, troubleshoot issues and ensure accountability.
• Strong analytical, problem solving, organizational, and time management skills.
• Ability to manage competing demands.
• Proficient in developing and maintaining project plans, timelines, and weekly status updates to external and internal stakeholders.
• Ability to manage documentation version control and change tracking accuracy.
• The ability to read, understand and explain a file specification and requirement documents.
• Experienced Business Analyst with strong organizational skills and desk routines.
• Attention to detail.
• Ability to work on complex technical client implementations.
• Solid writing skills with experience in creating required project documentation- Project Plan and BRD.
• Comfortable providing client demos and navigating multiple projects simultaneously.
• Able to work across multiple lines of business and with diverse teams.
• Highly motivated, team player, able to work efficiently on project deadlines in high pace environment.

LOB Desired Qualifications & Skills:

• 5-7 years of project management experience, preferably in a client-facing or technology driven environment.
• Web Implementation experience - Single Sign On, API, IVR, CSV, Fixed Width files, and User Acceptance testing.
• Client implementation experience with Treasury Products is highly desired (ACH and Merchant Services).
• Proficient in project management tools such as MS Project, Jira, and Excel.
• Prior experience working on projects within financial services, banking or fintech environment.
• Experience or Exposure to QA during testing and deployment of project.
• Ability to manage multiple priorities and projects simultaneously.

Responsibilities:

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

• Maintain and continuously enhance capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks.

• Understand and execute activities that form the end-to-end model development and use life cycle.

• Clearly document and effectively communicate quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology.

• Responsible for independently conducting quantitative analytics and modeling projects.

• Responsible for developing new models, analytic processes or systems approaches.

• Create documentation for all activities and work with Technology staff in design of any system to run models developed.

• Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs.

• Leveraging data analytics and visualization tools Alteryx, Tableau, R, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.

• Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R.

• Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning.

• Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.

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

Required Skills & Experience:

• Master's degree or equivalent in Finance, Statistic, Mathematics, or related: and

• 2 years of experience in the job offered or a related Quantitative occupation.

• Must include 2 years of experience in each of the following:

• Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs;

• Leveraging data analytics and visualization tools Alteryx, Tableau, R, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management;

• Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R;

• Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning; and,

• Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.

If interested apply online at or email your resume to and reference the job title of the role and requisition number.

Responsibilities

Reviews construction draw packages, identifies and helps resolve construction and title issues, keeps accurate records of detailed construction loan budgets and all sources of funds, including loan funds and non-loan sources of funds, and ensures loans are in balance all with some supervision Serves as a point of contact for assigned clients on all loan related servicing matters for moderately complex to complex deals which may include syndicated loans and delivers a high level of service to lenders, investors, borrowers, vendors, and Lines of Business while ensuring compliance with servicing agreements, government regulations, and the bank's policies with minimal supervision Coordinates fundings with Fulfillment and Assignment Desks as needed and ensures communications are timely and accurate Performs payoff quotes and related calculations including prepayment calculations Assists Loan Administrators with their primary responsibilities and helps managers in directing workflow and performing quality assurance activities.

Required Qualifications:

Has two or more years previous commercial real estate loan administration experience Familiarity with commercial credit or commercial loan terminology Experience with reading, interpreting, and analyzing complex legal documentation such as credit agreements, and amendments Highly organized, proactive, and able to plan, prioritize and manage deliverables Strong written and verbal communication skills; able to target messaging to different audiences Effective problem-solving skills Proficient computer skills, including Windows, Excel, Word, and Outlook Can work independently while balancing early escalation to ensure seamless closing Adapts well to a quickly evolving environment.

Finance, accounting, or mathematical background Experience with LoanIQ, ACBS, or similar booking platform Funding experience payments/advances to commercial loan clients Bachelor’s degree or equivalent loan administration experience Monitors, research and instructs payment processing for borrower payments, disbursements, and fees and collects appropriate fees due from the lender or servicer Maintains past due principal, interest, and fees as well as reconciliation exceptions within acceptable levels

Problem Solving

Recording/Organizing Information

Relationship Building

Data Collection and Entry Financial Analysis

Oral Communications

Written Communications

Data Management

Legal Structures and Legal Forms

Regulatory Compliance Result Orientation

High School Diploma / GED / Secondary School or equivalent

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:

Job Description:

We are looking for a Senior .Net Software Engineer to guide the development of a complex internal, on-prem application built on ASP.NET MVC, background jobs, and distributed services. This role is a blend of hands-on engineering and technical leadership, ensuring high-quality feature delivery, architectural consistency, and team mentorship. This role goes beyond standard web development - you’ll work with distributed systems, high-throughput messaging, and search and big data tools.

You’ll lead across the stack, from C# and SQL to Kafka, Redis, SOLR, and HBase, on a complex internal application with a mix of modern and legacy components and multiple integrations via Web APIs and Message Queues. You’ll be expected to build resilient, self-healing features that gracefully handle intermittent failures. Front-end work includes maintaining and improving functionality built with ASP.NET MVC, jQuery, ES6, and Bootstrap.

Responsibilities

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution.
• Conduct research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, features, etc.
• Help define the technology tool stack for the solution. 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.
• Support/mentor/coach team(s) on design and best practices for high code performance (e.g. pairing, code reviews).
• Constantly seek better ways of solving technical problems and designing the solution, not afraid of challenging the status quo.
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements.
• Accountable for end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.
• Lead the technical oversight for teams in solution development.
• Author and update documentation for production support and operations teams.
• Partner with leadership on transition planning for ServiceNow migration, helping identify what to re-platform vs. modernize.

Required Qualifications:

• Minimum of 10+ years of experience in .NET (C#) development, with strong knowledge of ASP.NET MVC and service-based architectures.
• Experience designing, building, and leading delivery of background services and job processing frameworks.
• Proficiency in JavaScript (ES6+) and jQuery for front-end maintenance.
• Hands-on experience with Kafka, Redis, HBase, and SOLR/Elasticsearch.
• Strong SQL skills and knowledge of performance tuning.
• Deep understanding of resilience and reliability patterns in distributed systems.
• Experience working with RESTful Web APIs; familiarity with enterprise system integration.
• Proven ability to mentor engineers, influence architecture decisions, and drive technical discussions with stakeholders.
• Familiarity with CI/CD pipelines, Git workflows.

Desired Qualifications:

• Degree and/or certifications in Cybersecurity (e.g. CISSP, CISM) or Vulnerability Management (e.g. GIAC GEVA)
• Experience with ServiceNow integrations or ServiceNow development.
• Familiarity with frameworks like Polly, MassTransit, or Hangfire for retries, orchestration, and job scheduling.
• Experience modernizing legacy applications or re-platforming features into enterprise platforms.

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

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

Job Description:

Job Description:

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementof 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

Responsibilities:

• Seek opportunities for consistent improvement in quality, efficiency, and processes

• Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance

• Provide leadership and oversight to less experienced team members

• 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 have 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.

Soft Skills:

• High level of intellectual curiosity

• Experience implementing strategic process improvements and/or automation

• Proven track record of building relationships and effectively influencing key stakeholders

• Adept at detecting and remediating organizational / process weaknesses and deficiencies

• Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines

• Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences

• Well organized with attention to detail

• Willing to challenge the status quo and with a track record of driving change

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

• 7+ years of relevant work experience

Qualifications:

• At least 7 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

• Proven track record of seamlessly leading and executing enterprise-wide initiatives

• The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators

• Strong analytical and problem-solving skills

Candidates should have at least three of the following 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