Data Analyst jobs in United States, Illinois, Chicago

Essential Responsibilities:

• Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data science team.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience leading others

Responsibilities

• Design and enhance credit strategy frameworks governing originations, renewals, and portfolio management to support healthy and scalable growth
• Develop and maintain credit policies and guardrails that balance business expansion with sound risk management principles
• Build analytical frameworks and monitoring tools to assess portfolio health, track early warning indicators and identify emerging risks
• Partner with data science on deployment, monitoring and calibration of credit risk models and segmentation strategies
• Collaborate with Commercial, Product, Platform, Governance, Engineering, and Finance teams to integrate credit strategies and decisioning into product design and system architecture

Required Skills

• Proven experience in credit risk strategy, policy development, and portfolio analytics
• Strong understanding of the commercial credit ecosystem including credit products, bureau information, bank and cash flow data, and alternative data sources used for credit risk underwriting and monitoring
• Demonstrated analytical and quantitative skills with the ability to translate insights into actionable strategy
• Excellent communication and influencing skills with experience presenting to senior management

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $169,500 to $291,500

Our Benefits:

Any general requests for consideration of your skills, please

This job collaborates closely with the business and finance teams on activities such as forecasting, budgeting, month-end closing, financial/deal modeling, performance measurement, reporting and analysis, you will support the development and implementation of transformation projects, optimizing analytics tools and process strategies. Additionally, you will be responsible for reviewing financial or deal model performance, implementing enhancements as needed, you will contribute to improving processes, and you will be collaborating with stakeholders to gather inputs for business forecasts, summarize insights, and present them to senior leadership.

Essential Responsibilities:

• Support planning and forecasting processes
• Review business performance on regular cadences (weekly, monthly,quarterly)Collaboratewith stakeholders to gather inputs and summarize insights
• Produce executive-level presentations
• Work closely with the finance and technical teams to drive process and system improvements
• Facilitate discussions with various stakeholders, manage expectations, and collaborate cross-functionally
• Consult with finance leads to review and discuss key issues, risks, and dependencies for assigned initiatives
• Document and escalate potential risks/issues, assist in developing mitigation strategies, and support their implementation

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $84,500 to $140,250

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Engage with team members to contribute to pricing solutions and suggest efficiencies.
• Assist in the collection and analysis of pricing data to support decision-making processes.
• Follow established processes and procedures to ensure accurate pricing implementation.
• Collaborate with peers to share insights and improve overall pricing strategies.
• Participate in team meetings to discuss pricing initiatives and provide input on projects.

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $69,000 to $113,850

Our Benefits:

Any general requests for consideration of your skills, please

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Develop, refine, and implement credit risk strategies using advanced analytics and unit economics to guide smart, profitable lending decisions
• Take ownership of key performance indicators (KPIs) and metrics related to credit risk for new accounts and applications
• Monitor key portfolio metrics and segment-level performance to identify and address emerging credit risks proactively
• Partner cross-functionally with teams including Machine Learning, Fraud, Compliance, Legal, Marketing, Product, Engineering, Bank Partners, and more to align risk strategies with customer and business objectives
• Effectively communicate complex findings and strategy recommendations to both technical and non-technical audiences
• Lead end-to-end project execution with minimal assistance as a credit risk expert
• Keep up-to-date with industry trends, best practices, and emerging risks related to commercial lending

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $123,500 to $212,850

Belonging at PayPal:

Any general requests for consideration of your skills, please

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

1st shift (United States of America)

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

1st shift (United States of America)