Senior Quantitative Engineer jobs at Bank Of America in United States, Charlotte

Job Description:

Job Description:

This job is responsible for influencing and driving optimal bank-wide liquidity strategies by Lines of Business (LOBs) and legal entity in business as usual (BAU) and stress scenarios. Key responsibilities include overseeing and influencing liquidity utilization across the organization and providing input into process and control designs, operational risk mitigation, issue management, automation, and other initiatives across the bank.

Responsibilities:

• Measures, analyzes, monitors, and reports on the bank's spot and forecasted liquidity position, provides guidance to business units to improve liquidity position, and supports regulatory and management liquidity reporting.
• Oversees processes, risks, and controls and tracks and monitors issues to ensure adherence with policies, risk standards, and compliance with internal and regulatory liquidity reporting requirements.
• Partners with other Lines of Business (LOBs) to determine limits, guidelines, and direction, ensuring alignment with overall business objectives and the bank's risk framework.
• Monitors liquidity risk trends relating to business activities and correlations between business drivers and liquidity usage and builds out enhanced liquidity reporting.
• Streamlines reporting processes and builds out analytic capabilities using emerging technology (e.g., Alteryx, Tableau, etc.)
• Provides input into monthly and quarterly reporting, disclosures, and presentations for Risk Committees, Board of Directors, and enterprise and local regulators.

Required Qualifications:

• 2+ years of industry experience working with financial products.
• Energetic and self-motivated. Candidate should have a strong intellectual curiosity.
• Strong quantitative background including excel modelling.
• Excellent communication skills – both written and verbal
• Ability to drive project goals across functions with minimal oversight.
• Analytical Thinking
• Financial Forecasting and Modeling
• Attention to Detail

Desired Qualifications:

• Prime Brokerage, derivatives or secured funding (either regulatory, reporting or business)
• Working knowledge of regulatory liquidity framework

Skills:

• Analytical Thinking
• Financial Forecasting and Modeling
• Liquidity Management
• Regulatory Compliance
• Reporting
• Attention to Detail
• Benchmarking
• Data and Trend Analysis
• Financial Analysis
• Scenario Planning and Analysis
• Business Acumen
• Financial Management
• Monitoring, Surveillance, and Testing
• Policies, Procedures, and Guidelines
• Risk Management

This job is responsible for performing test work during moderately complex audit activities for Lines of Business (LOBs). Key responsibilities include designing and executing audit tests to evaluate the control environment, and assessing issues for business impact and recommending severity ratings under the supervision of senior team members.

Responsibilities:

• Executes audit strategy for the sound application of risk-based auditing by defining audit scope and audit program, and leverages automation and innovative methods in a timely and high quality manner
• Identifies control deficiencies, discusses with line management, and initiates control matter recommendations
• Establishes business partner relationships, primarily with line management, to develop business knowledge
• Assesses impacts to business processes, controls, and strategies to provide recommendations on severity ratings
• Exercises sound judgment to effectively influence management to improve the control environment while developing knowledge of product, business, and technical expertise
• Develops skills to use innovative tools to complete audit activities more efficiently (e.g., testing)

Required Qualifications:

• Highly preferred to have 2+ years of Audit experience
• Strong Communication Skills
• Bachelors Degree

Desired Qualifications:

• Ideal candidate would have experience with financial services audit/compliance
• Prior experience in consumer banking is definitely a plus.

Skills:

• Analytical Thinking
• Attention to Detail
• Internal Audit Review
• Risk Management
• Technical Documentation
• Automation
• Business Acumen
• Issue Management
• Project Management
• Critical Thinking
• Relationship Building
• Written Communications

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

Responsibilities:

• Primary responsibility is to create / update business rules to minimize the false-positive Sanctions alerts to improve efficiency and effectives of the CoE’s alert review process.
• Manage the multiple on-going initiatives by attending calls from various projects, understand the Sanctions needs from the projects, Provide requirements to the projects and track the status of these projects.
• Analyze alerts on a daily basis to chalk out strategies to reduce the false-positives, using different pattern matching and trending techniques
• Assist in on-boarding new applications / Clients into the Sanctions screening platform requiring detailed discussions with various lines of businesses in understanding the nature and type of data received from and assist in data mapping into standard formats acceptable for Sanctions screening
• Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use.
• Work with technology teams for requirements / testing and implementing changes to improve / automate CoE processes
• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
• Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents

Required Qualifications:

• Bachelor's degree in Computer Science, Data Management, Statistics or related fields
• Intermediate knowledge in SQL and using tools like TOAD
• Awareness of AI / Machine learning concepts and ability to implement such strategies
• Experience in data analytics and interpretation of large volumes of data
• Scripting experience with any language like Python, Java, VB

Desired Qualifications:

• Experience in Sanctions / AML processes
• Data transformation / formatting experience and able to work with data in different formats
• Knowledge of Economic Sanctions programs requirements
• Experience in Global Banking & Markets business process
• Experience in Sanctions screening applications like Fircosoft
• Logical thinking capabilities with a technical mind-set
• Advanced knowledge in using Microsoft Excel and MS Access
• Knowledge in using Microsoft products Word, Outlook, Power-point and Visio
• Knowledge of PowerBI /Tableau
• Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently
• Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change
• Ability to work and interact with people from a diverse range of backgrounds and opinions

Skills:

• Data Collection and Entry
• Data Management
• Data Modeling
• Issue Management
• Policies, Procedures, and Guidelines Management
• Analytical Thinking
• Collaboration
• Data Governance
• Data Quality Management
• Data and Trend Analysis
• Business Acumen
• Controls Management
• Production Support
• Regulatory Compliance
• Solution Design

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

Overview of Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT)

Bank of America Merrill Lynch has an opportunity for a Quantitative Financial Analyst within our Global Risk Analytics (GRA) function. 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.

Overview of Consumer Model Development

The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business. The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:

• Quantitative Modeling – Develop and maintain risk and capital Models and Model Systems across Retail and GWIM product lines. Models and Model Systems provide insight into many risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows.

• Quantitative Solutions Engineering – Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA’s technical strategy.

• Risk and Capital Management Capabilities – Build best in class quantitative solutions that enable the Retail and GWIM lines of business to effectively manage risk and capital, through the application of the disciplined BAU development process that includes extensive interaction with the FLU model owners and stakeholders throughout the quantitative lifecycle.

• Infrastructure – Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies, and expansion of quantitative capabilities to better leverage infrastructure and computational resources.

• Documentation – Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.

The Quantitative Finance Analyst will interact with a wide variety of stakeholders including risk managers, model developers, operations, technology, finance, and capital.
The main responsibilities will involve:

• Software development: implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Development takes place almost entirely in Python, with some C++ for high performance components.

• Maintain code quality through best practices, unit testing and code quality automation.

• Understand the whole product, its modules, and the interrelationship between them, while being an expert in the assigned component or module.

• Possess advanced domain knowledge and show great customer focus. Leverage skills in methodologies and build, release, and deployment processes.

• Partner in defining, adopting, and executing GRA’s technical strategy.

• Identify and apply new software development techniques to support enhanced granularity of risk management capabilities. Employ elevated intellectual curiosity and an acute sense of innovation.

• Elevated intellectual curiosity with acute sense of innovation to identify and apply new statistical and econometric techniques to support enhanced granularity of risk management capabilities

• Articulating the overall holistic picture of model performance, with clear conclusions regarding accuracy and remediation areas as required

Minimum Education Requirement:Master’s degree in related field or equivalent work experience

Required Qualifications:Successful candidates will have a minimum 5 years relevant experience and will possess the following skills:

• Strong Python software development skills

• Familiar with software design principles: separation of concerns, single responsibility, DRY, etc.

• Understanding of algorithms and data structures

• Experience with Linux operating system and command line tools

• Experience with version control systems, i.e., Git

• Knowledge of SQL

• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences

• 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

• Experience implementing models into various production environments

• Demonstrated leadership skills; Ability to exert broad influence among peers

• Strategic thinker that can understand complex business challenges and potential solutions

• Sees the broader picture and is able to identify new methods for doing things

• Ability to work in a large, complex organization, and influence various stakeholders and partners

• Ability to work in a highly controlled and audited environment

• Exceptional programming skills in high performance python

• Exceptional Terabyte-scale Spark programming and optimization

Desired Qualifications:The ideal candidate will possess the following skills and experience:

• GRA Core Platform (GCP) experience

• Familiar with systems architecture concepts: service based, layered, microservices, scalability patterns

• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow

• Experience creating, optimizing, and debugging software solutions deployed into distributed computing environments (experience with Spark is a plus)

• Familiar with use of vectorization and data locality concepts to optimize software efficiency

• Experience with high performance Python libraries, i.e., Numpy, Numba, Cython

• Experience with LaTeX

• Familiarity with SDLC tools: unit testing libraries, Jira, Jenkins

• Consumer Financial Product Industry experience

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

Job Description:

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

CFO Data Management Traded Products - Derivatives Focus Subject Matter Expert. The position will require extensive ad hoc research and commentary for outliers impacting regulatory reporting. Successful candidates will partner with Technology and the LOBs to ensure data accuracy and completeness, identify data gaps, and work closely with business partners to define strategies for technical solutions. Work closely with developers and testers to ensure requirements and functional designs are translated accurately into working technical designs and that test plans and scripts serve customer needs. Works under minimal supervision on enterprise-wide projects requiring creative solutions.

Responsibilities:

• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
• Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents

Additional Responsibilities:

• Manages current state assessment of legacy data across legacy systems with an eye towards migration to strategic target state.
• Performs attribute recons for derivatives and collateral positions across multiple platforms and products.
• Liaises with Treasury LOBs and Technology Teams to provide commentary of material differences.
• Works with internal business lines to support ongoing initiative work and ad hoc research requests.
• Tests new data populations as they are added to the reporting database.
• Enhances existing controls to address changes to data populations.
• Assists in development of strategy / approach for Data Management Process Documentation project.
• Supports ad hoc initiatives and projects for CFO Data Management.

Required Qualifications:

• Minimum 4 years of experience of data analysis, testing data integrity and implementing controls.
• Advanced Excel or SQL skills.
• Extensive knowledge of derivatives (OTC, Cleared and ETD).
• Ability to understand and explain PNL movements and substantiate data to the Balance Sheet / General Ledger.
• Experience with providing supporting for regulatory reporting, submitting data for senior level management reporting, or similar types of reporting.
• Innovative team player who can generate new and creative ideas to complex problems.
• Being curious and thoughtful. Digging into the data to find nuggets of information independently and without prompting is a key element for success in this position.

Desired Qualifications:

• Experience working with Global Market or Corporate Treasury platforms.
• Bachelor's Degree or equivalent experience.

Skills:

• Data Collection and Entry
• Data Management
• Data Modeling
• Issue Management
• Policies, Procedures, and Guidelines Management
• Analytical Thinking
• Collaboration
• Data Governance
• Data Quality Management
• Data and Trend Analysis
• Business Acumen
• Controls Management
• Production Support
• Regulatory Compliance
• Solution Design

Job Description:

This job is responsible for performing test work during moderately complex audit activities for Lines of Business (LOBs). Key responsibilities include designing and executing audit tests to evaluate the control environment and assessing issues for business impact and recommending severity ratings under the supervision of senior team members. The focus of testing will be monitoring and identifying emerging risks to assess compliance with Bank Secrecy Act (BSA) / Anti-Money Laundering regulatory requirements.

Responsibilities:

• Executes audit strategy for the sound application of risk-based auditing by defining audit scope and audit program, and leverages automation and innovative methods in a timely and high quality manner

• Identifies control deficiencies, discusses with line management, and initiates control matter recommendations

• Establishes business partner relationships, primarily with line management, to develop business knowledge

• Assesses impacts to business processes, controls, and strategies to provide recommendations on severity ratings

• Exercises sound judgment to effectively influence management to improve the control environment while developing knowledge of product, business, and technical expertise

• Develops skills to use innovative tools to complete audit activities more efficiently (e.g., testing)

• Demonstrates the ability to work independently and within a team environment to deliver high-quality audit testing

• Willingness to learn new subject matters in the Financial Crime regulatory compliance space and apply learnings to assist the company in risk identification and mitigation

• Uses analytical skills to identify trends, themes, and emerging risks both internally and externally in order to inform the audit plan and improve quality of targeted testing

Skills:

• Analytical Thinking

• Attention to Detail

• Internal Audit Review

• Risk Management

• Technical Documentation

• Automation

• Business Acumen

• Issue Management

• Project Management

• Critical Thinking

• Relationship Building

• Written Communications

Required Qualifications:

• 3+ years of general auditing experience with a finance or control function, internal audit function or public accounting firm, preferably within the Banking or Financial Services industry

• Intermediate Analytical / Automation Skills (SQL, SAS, Advanced Excel and Access)

• Ability to execute audit test plans within a risk-based audit methodology

• Sound organizational, analytical, oral and written communication skills

• Self-starter, desire to learn able to teach others, positive attitude, exhibits flexibility

• Ability to work in a very detailed manner

• Experience in data visualization and reporting

Desired Qualifications:

• Bachelor’s degree or advanced degree

• Certifications: CAMS, CIA

• Experience in Financial Crime Regulatory Compliance (BSA/AML)

• Experience in Audit

Job Description:

Job Description:

Quantitative engineers in Global Risk are responsible for designing and implementing 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 trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

Responsibilities:

• 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 meet all or a subset of 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)

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

Qualifications:

• At least 2 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

Candidates should have at least one of these following skills and preferably have at least two of these skills:-

• Strong analytical and problem-solving 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