Vice President Operations Lead jobs at Bank Of America in United States, Chicago

Responsibilities:

• Support the origination and execution of investment banking transaction mandates for large-cap corporate clients in the Industrials sector such as: buy and sell-side M&A, inclusive of cross-border transactions, as well as capital markets processes, including debt and equity offerings.
• Prepare materials for clients and participate in client meetings during the course of investment banking deal origination and execution.
• Lead due diligence processes for investment banking transactions in the Industrials sector, such as: buy and sell-side M&A, inclusive of cross-border transactions, as well as capital markets processes, including debt and equity offerings.
• Prepare financial analysis, including detailed valuation analysis, such as: LBO analysis, discounted cash flow, accretion and dilution, IPO pro forma analysis, comparative company analysis, and sum of parts analysis in the Industrials sector, such as: buy and sell-side M&A, inclusive of cross-border transactions, as well as capital markets processes, including debt and equity offerings.
• Cooperate with analysts and associates on client coverage, origination and transaction execution teams.
• Draft and negotiate engagement letters, confidentiality agreements and other documents related to investment banking transactions.
• Attend client meetings with prospective buyers in sell-side M&A processes, including management presentations.
• Support internal transaction and capital commitment committee processes such as Fairness Committee, Equity Commitment Committee and Leveraged Finance Committee.
• Conduct research using Factset, Capital IQ, Bloomberg and Refinitiv to analyze market data and competitive dynamics.
• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

• Master's degree or equivalent in Business Administration, Finance, Economics, Management Science, or related: and
• 3 years of experience in the job offered or a related Finance occupation.
• Must include 3 years of experience in:
• Global bank/bulge bracket investment banking transactions;
• Executing investment banking transactions and processes in a global firm environment, including both M&A and capital markets product;
• Preparing financial analysis, including detailed valuation analysis, such as: LBO analysis, discounted cash flow, accretion and dilution, IPO pro forma analysis, comparative company analysis, and sum of parts analysis;
• Conducting due diligence in connection with investment banking transactions;
• Preparing materials for clients and participating in client meetings during the course of investment banking deal origination and execution; and,
• Leading teams of junior investment bankers to execute transactions, prepare client materials, and manage transaction processes.
• In the alternative, the employer will accept a Bachelor's degree and 5 years of progressively responsible experience.
• 15% domestic and International travel required, as necessary.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.

EMPLOYER:BofA Securities, Inc.

Responsibilities

• Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.

• Analyze information obtained from management to conceptualize and define operational problems.

• Prepare management reports defining and evaluating problems and recommending solutions.

• Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.

• Track all client visits/meetings and ensure all client successes are logged for weekly reporting.

• Drive proactive client communications through regular meetings, broker reviews, and calls.

• Track and drive resolution (both strategic and tactical where necessary) of client requests.

• Work with clients to educate on the firm’s self-service tools and industry solutions.

• Analyze effort and support across teams by individual client.

• Coordinate and chair internal stakeholder meetings around client updates.

• Analyze complex query resolution from clients trading Futures and Options within Global Markets industry; queries span trades, position, lifecycle events, commission, reporting, product, and process offering.

• Review and assess trade allocations, collateral movements and reconciliation of positions to facilitate workflow.

• Improve clients’ processes to STP by analyzing tableau metrics and their metric accuracy around trade and commission flows.

• Test implemented SAP solutions, including unit testing, integration testing and user acceptance test.

• Work with GMI books and records platform and testing new functionality.

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

Required Skills & Experience

• Bachelor's degree or equivalent in Operations Research, Mathematics, Economics, Finance, or related: and

• 5 years of progressively responsible experience in the job offered or a related Quantitative occupation.

• Must include 5 years of experience in each of the following:

• Analyzing complex query resolution from clients trading Futures and Options within Global Markets industry; queries span trades, position, lifecycle events, commission, reporting, product, and process offering;

• Reviewing and assessing trade allocations, collateral movements and reconciliation of positions to facilitate workflow;

• Improving clients’ processes to STP by analyzing tableau metrics and their metric accuracy around trade and commission flows; and,

• Working with books and records platform and testing new functionality.

• In the alternative, the employer will accept a Master's degree and 3 years of experience.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.

BofA Securities, Inc.

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.

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:

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:

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:

• Leads implementation for products, services, and operational solutions
• Manages the design, documentation, implementation, and monitoring of new products and services
• Consults on procedural, technical, and operational changes
• Advances business products knowledge within operations environment
• Fosters relationships with partners and teammates
• Inspects data to identify issues and trends
• Presents reporting on key performance and implementation status

Skills:

• Attention to Detail
• Monitoring, Surveillance, and Testing
• Policies, Procedures, and Guidelines Management
• Regulatory Compliance
• Written Communications
• Adaptability
• Business Acumen
• Continuous Improvement
• Critical Thinking
• Process Mapping
• Change Management
• Consulting
• Data Management
• Reporting
• Research

Required Qualifications:

• Minimum 2 years of experience in operations analysis, business process improvement, or a similar role within financial services or a regulated industry
• Strong written and verbal communication skills
• High attention to detail and critical thinking skills
• Ability to adapt to changing priorities and manage multiple initiatives simultaneously

Desired Qualifications:

• Minimum 5 years of experience in operations analysis, business process improvement, or a similar role within financial services or a regulated industry (specifically Global Vendor Finance)
• Bachelor’s degree
• Proven ability to perform complex, non-routine data analysis using tools such as Excel

Minimum Education Requirement:

• High School Diploma / GED / Secondary School or equivalent

Job Description:

Job Description:

Key Responsibilities:

• Develop and maintain security detection use cases across DLP channels (e.g., endpoint, cloud, network).
• Drive tuning and refinement of detection logic to improve fidelity and reduce false positives.
• Leverage knowledge of proxy architectures and internet connectivity patterns to optimize detection logic, ensure visibility and address evasion techniques.
• Partner with control owners (e.g., DLP, Email, Endpoint) to ensure detection alignment with business risk and policy coverage.
• Design and document automation playbooks to support consistent detection response workflows, ensuring they can be operationalized by the appropriate teams.
• Consult with policy and control owners on new projects and proposed changes to ensure detection coverage remains effective and aligned to data protection requirements.
• Review proposed control changes and new technology integrations to validate they meet detection and monitoring requirements.
• Map detection logic to threat models, including MITRE ATT&CK, and continuously evaluate coverage gaps.
• Collaborate with Response Managers, Threat Intelligence, and Engineering to validate and optimize alerting logic.
• Translate validated adversary behaviors from hunt exercises, threat intelligence, and incident trends into refined detection use cases and tuning strategies.
• Perform targeted detection-focused hunts within DLP channels to validate coverage and identify gaps.
• Review detection health and signal integrity, and lead quality assurance of rule performance.
• Create and maintain runbooks and detection documentation to support SOC operations and audit requirements.
• Provide technical oversight and mentorship to analysts and detection stakeholders across regions.
• Collaborate with audit and risk teams to demonstrate detection control effectiveness and alignment to regulatory expectations.

Core Competencies:

• Strong analytical skills with the ability to identify detection gaps and operational inefficiencies.
• Excellent communication and documentation skills; able to translate technical content for various audiences.
• Proactive, collaborative, and capable of working across global teams.
• Adept at managing competing priorities and leading through influence.

Required Qualifications

• 7+ years of experience in cybersecurity roles with a focus on detection, security operations, or threat response.
• Deep knowledge of SIEM platforms, EDR, DLP, UEBA, and cloud telemetry (e.g., Splunk, CrowdStrike, Symantec, Microsoft Purview, Sentinel, Wiz).
• Experience collaborating with threat hunting or conducting targeted hunts to identify detection gaps and inform use case development
• Familiarity with structured detection logic (EDM, Regex, YARA, Sigma) and signal tuning principles.
• Strong understanding of MITRE ATT&CK and threat-informed defense frameworks.
• Experience in regulated industries (e.g., financial services) preferred.

Skills:

• Cyber Security
• Data Privacy and Protection
• Problem Solving
• Process Management
• Threat Analysis
• Business Acumen
• Data and Trend Analysis
• Interpret Relevant Laws, Rules, and Regulations
• Risk Analytics
• Stakeholder Management
• Access and Identity Management
• Data Governance
• Encryption
• Information Systems Management
• Technology System Assessment