Quantitative Finance Analyst jobs at Bank Of America in United States, Chicago

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

** On call and weekend rotation required**

Responsibilities include but are not limited to:

Crisis and Event Response
• Serve in a critical response role during crisis events, coordinating efforts to mitigate impact and facilitate recovery.
• Responsible for the continuous improvement, development and execution of crisis response plans, ensuring alignment with organizational business continuity strategies.
• Coordinate with cross-functional teams to prepare for and respond to incidents, including cyber threats, natural disasters, and other emergencies.

Documentation and Reporting
• Maintain up-to-date documentation of operational event response plans, procedures, protocols, and incident reports.
• Provide regular updates to senior management on the status of related business continuity initiatives and response activities.

Continuous Improvement
• Stay informed about industry best practices, regulatory requirements, and emerging threats related to business continuity and cybersecurity.
• Identify opportunities for process improvement and contribute to the enhancement of the organization's resilience capabilities.
• Lead or participate in Project Management activities

Required Qualifications
• 3+ years of experience in crisis management, or a related role, preferably within the cybersecurity sector.
• Strong analytical skills and the ability to assess complex situations and develop effective solutions.
• Excellent communication and interpersonal skills, with the ability to collaborate with diverse teams and stakeholders
• Experience with risk management frameworks and methodologies
• Knowledge of disaster recovery planning and execution, including IT disaster recovery strategies.
• Understanding of cybersecurity principles, threats, and vulnerabilities that may impact business operations.
• Ability to analyze complex situations, identify vulnerabilities, and develop effective solutions.
• Strong problem-solving skills to address challenges and make informed decisions during event/crisis

This job is responsible for providing moderately complex research, reporting, and analytical support for the delivery of end-to-end support for Global Markets sales, trading and underwriting business for securities, foreign exchange, fixed income, exchange traded derivatives, and over-the-counter derivatives across multiple Lines of Business. Key responsibilities include carrying out duties under general supervision and assisting teammates while following established procedures.

Responsibilities:

• Conducting client due diligence (CDD) and enhanced due diligence (ECDD) in accordance with internal policies, procedures and regulatory guidelines

• Review of refresh requirements for assigned jurisdiction in line with related Client Identification Profile (CIP)/CDD Procedures to ensure adequacy and accuracy before the requirements are sent to the client.

• Liaise with sales/ client outreach teams to obtain and validate correct documentation to fulfill refresh requirements

• Perform client refresh through the review of client documentation, vendor databases and data entered into proprietary systems to ensure all refresh requirements are met

• Ensure all jurisdictional regulatory requirements related to KYC are adhered to

• Support business with KYC related queries and requests

• Participate in remediation, internal/external Audits (where applicable)

• Maintains accuracy of client portfolio using internal and external comparison tools

• Performs research and conducts moderately complex analyses using established techniques, including transactions that require special handling and exception handling

• Explores methods to enhance processes, further reduce risks, and boost client experience

• Creates reports and liaises with internal partners to ensure proper client reporting and assist with regulatory reporting

• Escalates potential risks and exposures to manager in a timely manner

• Assists with ad-hoc projects, new processes, or initiatives requiring coordination among subject matter experts representing multiple product areas or functions

Job Requirements:

• 2+ years of financial services experience

• Excellent verbal and written communications skills

• Documented experience performing in a process-oriented production environment that changes periodically

• Familiar with MS Office Suite(Excel/Word/Outlook/Access)

• Work in a team environment

• Organize work, prioritize tasks and handle multiple assignments simultaneously

• Successfully meet tight deadlines while ensuring data accuracy and integrity

• Work and execute with minimal supervision or remote management

Skills:

• Attention to Detail

• Critical Thinking

• Data Collection and Entry

• Recording/Organizing Information

• Research

• Fraud Management

• Interpret Relevant Laws, Rules, and Regulations

• Problem Solving

• Quality Assurance

• Risk Management

• Adaptability

• Customer and Client Focus

• Prioritization

• Result Orientation

• Written Communications

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.

LOB Job Description:

Individual contributor role that demonstrates leadership qualities. Processes transactions in one or more of the company's internal operations to support domestic and international consumer, commercial and wholesale bank businesses or services functions. Responsibilities may include: basic level reporting, customer service support, reviewing and processing transactions for item processing, sorting using electronic or mechanical equipment, reconciling, statement rendering, MICR/image, float, lock box, remittance, ATM deposit, and performing other support operations functions as required. Maintains internal operational and financial controls and ensures they meet bank standards. Ensures quality service and effective and efficient operations support for the assigned area's internal business partners and/or external customers/clients. Performs all the functions required at the Sr. Ops Rep level and typically acts as a workflow coordinator and/or a subject matter expert. Able to prioritize and distribute daily work to meet deadlines and goals. Demonstrates a good working knowledge of the processes and procedures and the ability to identify and implement process improvement opportunities. May provide guidance and direction to less experienced team members.

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

Required Qualifications:

• Ability to deconstruct complex issues and drive timely decisions, knowing when to engage others for additional input, and when to act independently
• Ability to connect the dots and make sense of information across multiple data points and upstream/downstream dependencies
• Strong partnership and relationship building skills needed to work with stakeholders across teams, build consensus and execute strategic objectives
• Ability to work in a fast-paced environment to drive quality goals while meeting aggressive delivery deadlines
• Proactive and “no surprises” approach in communicating
• Ability to learn and adapt to change; ability to think analytically and voice opinion as a subject matter expert
• Excellent interpersonal skills, positive attitude, team player, flexible
• Highly organized, adept at time management and problem solving.

Desired Qualifications:

• Knowledge of Treasury products, processes, and systems
• Workflow coordination experience
• Passion for robotics/automation technology and innovation
• Adapt quickly to change
• Strong process improvement background
• Experienced with working in high visibility and high pressure environments
• Detail oriented, self-starter and ability to work independently
• Excellent project management, oral and written communication skills
• Proficient with MS Office - Excel, PowerPoint and SharePoint

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