דרושים Operations Analyst ב-United States, Illinois, Chicago

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 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

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:

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• 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

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

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

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