Quantitative Analyst jobs in United States, Illinois, Chicago

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 .

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 .

Our Benefits:

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

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:

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

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

• Bachelor's degree in Finance, Business Administration, Accounting, Mathematics, Economics, or equivalent practical experience.
• Experience with financial analysis, forecasting, or modeling.

• Experience in data warehousing or reporting (e.g., SQL, SAP).
  
• Ability to form and leverage relationships across functional areas and take initiative.
• Excellent problem-solving, investigative, modeling, business judgment, and strategic thinking skills, with the ability to communicate with executive business partners.
• Excellent presentation and verbal/written communication skills.