Merchant Services Production Support Engineer jobs at Bank Of America in United States, Charlotte

Skills:

• Attention to Detail
• Collaboration
• Data Governance
• Data Quality Management
• Risk Management
• Adaptability
• Controls Management
• Negotiation
• Problem Solving
• Result Orientation
• Change Management
• Continuous Improvement
• Data Management
• Presentation Skills
• Stakeholder Management

Line of Business Job Description:

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.Job Description
This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.

• Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required.

• Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc.

• Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding.

• Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate.

• Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges.

• Review and provide input to technical solution designs from a business point of view and recommend alternatives.

• Communicate plans, progress and risks appropriately to the stakeholders and sponsors.

Required Skills:

• Bachelors or Masters in computer science, system analysis, Information Systems or related field.

• 1-3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering or similar role

• Strong process/systems analysis, design and documentation.

• Strong analytical, critical thinking, and problem-solving skills.

• Ability to monitor tight deadlines and adapt to unexpected requirement changes.

• Strong Understanding of Risk Management and Data Management Principles

Desired Skills:

• Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking

• Understanding or experience of programming in SQL, C/C++, Java

• Familiarity with databases, such as Oracle, Hadoop, etc.

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

Responsibilities

• Manage the settlement process for Fed transactions, ensuring accuracy and timely processing.

• Monitor and resolve discrepancies related to settlement reports and confirm settlements with counterparties.

• Liaise with various departments, including trading, finance, and compliance, to ensure alignment on settlement protocols.

• Conduct regular analysis of settlement data to identify trends, risks, and areas for process improvement.

• Assist in the development and execution of testing for new systems or enhancements related to settlement functions.

Required Skills:

• Ability to work under pressure and manage multiple priorities in a fast-paced environment.

• Presentable, confident and client focused. Client facing experience or ability to conduct discussions with Clients in a confident manner

• Excellent communications skills and ability to present to an audience

• Ability to work under pressure in a team environment

• Ability to liaise with all levels of the firm and people with different experiences and backgrounds

• Self-motivated and able to work unsupervised. Candidate will be able to manage own time and know when to escalate

• Knowledge of Operational Risk, Client Money Protection and Funding

Other Qualifications

• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions

• Excels in working among diverse viewpoints to determine the best path forward

• Experience in connecting with a diverse set of clients to understand future business needs - is a continuous learner

• Commitment to challenging the status quo and promoting positive change.

• Participate in and drive collaborative efforts to advance tools, technology, and ways of working to better serve an evolving client base

• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Skills:

• Critical Thinking
• Data Governance
• Negotiation
• Risk Management
• Stakeholder Management
• Attention to Detail
• Change Management
• Issue Management
• Presentation Skills
• Regulatory Relations
• Business Acumen
• Continuous Improvement
• Controls Management
• Data Management
• Performance Management

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.
Line of Business Job Description:

In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture and data platforms foundation.

Under the GRM DSM Executive’s leadership, the Data Support Manager will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment, and be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.

Responsibilities:

• Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards
• Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.
• Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.
• Design data products to provide high quality data for quantitative modeling solutions for GRM.
• Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.
• Evangelize and design new data solutions and capabilities to support risk lines of businesses.
• Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.
• Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.
• Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
• Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.
• This role is an opportunity to be at the forefront of transforming how the bank manages risk data, ensuring compliance with global regulations while building a sustainable, intelligent platform that empowers critical decision-making across the enterprise.

Required Skills:

• Bachelor’s degree in computer science / engineering, Data Science or Analytics and 6+ years of experience in data platform/solutions and data management architecture; or if Master’s degree, 5+ years’ experience.
• 8+ years of UI/UX design experience, preferably in enterprise platforms.
• Proficiency in Figma, Adobe XD, Sketch, or similar design tools.
• Strong knowledge of user centered design principles and best practices.
• Experience creating design systems or working within an existing one.
• Familiarity with HTML/CSS/JavaScript is a plus.
• Deep understanding of BCBS 239 principles and their practical implementation in a large organization.
• Strong experience working with risk reporting systems, data warehouses, reporting tools, and governance frameworks.
• Familiarity with data quality frameworks, metadata management, data lineage tools, and control monitoring.
• Proven track record of defining and delivering product roadmaps for complex data management or reporting platforms.
• Strong stakeholder management and cross-functional leadership skills.
• Proficiency in Agile delivery methodologies (e.g. Scrim, SAFe).
• Excellent communication skills (written, verbal and presentation) with the ability to translate regulatory language into actionable technical requirements.
• Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.
• Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
• Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
• Experience with relational and NoSQL data stores and big data environments.
• Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
• Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
• Experience with data modeling for complex data pipelines, data lake and data platforms.
• Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
• Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.

Desired Skills:

• Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
• Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).
• Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.

Job Description:

Job Description:

Quantitative Engineer Analyst is the entry level role to becoming a Quantitative Engineer. 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.

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.

Job Responsibilities:

• 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 on models and testsfor internal and regulatory purposes

Skills:

• High level of intellectual curiosity

• Feel ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines

• Strong written, verbal, presentation creation and delivery skills

• Well organized, and has attention to detail

Job Description:

Job Description:

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in several technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)

• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline

• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements

Required Qualifications:

• Possess 10+ years of experience as an architect, development lead in a complex financial industry data environment.

• Extensive experience working in a complex workflow automation and excellent understanding of Banking.

• Strong proven experience in workflow / Case Management solutions using Pega.

• Strong proven experience in handling medium to large size Pega Application development projects by providing solution design & architecture.

• Owns end to end solution architecture and design for a set of applications within the portfolio

• Extensive hands-on architecture, design and development experience with large-scale application & technology solutions with multiple stakeholders. Reusable framework design/development experience is a plus.

• Extensive hands-on architecture, design and development of micro services general patterns and practices.

• Demonstrate strong leadership, communication, analytical and organizational skills.

• Ability to effectively manage day-to-day interactions and relationships with a diverse group of colleagues.

• Put people at ease when necessary and instill a high degree of trust quickly and genuinely.

• Effectively manage resource allocations to match the budget and keep track of it

• Effectively lead teams and inspire others to achieve goals through innovation, quality and excellence

• Contribute to improve process efficiencies/ Agile enablement etc. for the benefit of the organization

• Manage/track team compositions and maintain balance within Agile teams in regard to resource attrition (Dev)

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Application Development

• Architecture

• Business Acumen

• Risk Management

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• Solution Delivery Process

: Bachelor’s degree or equivalent work experience.

Orders and reviews appraisals and evaluations used for commercial real estate lending and provides appraisal and consulting services to all lines of business and transaction-specific professional guidance. Specific responsibilities include, but are not limited to, scoping requests for services, bidding process, award process, managing external suppliers and appraisal review. Additional responsibilities may include client team training; supervisory responsibilities, including management of procurement or review teams; and/or management of external reviewers.

Skills:

• Critical Thinking
• Financial Forecasting and Modeling
• Business Intelligence
• Financial Analysis
• Interpret Relevant Laws, Rules, and Regulations
• Risk Modeling
• Valuation Ethics and Practice Standards
• Attention to Detail
• Prioritization
• Problem Solving
• Reporting
• Vendor Management

Orders and reviews appraisals and evaluations used for commercial real estate lending and provides appraisal and consulting services to all lines of business and transaction-specific professional guidance. Specific responsibilities include, but are not limited to, scoping requests for services, bidding process, award process, managing external suppliers and appraisal review. Additional responsibilities may include client team training; supervisory responsibilities, including management of procurement or review teams; and/or management of external reviewers.

Evaluates valuation requests for policy/regulatory compliance:

• Develops vendor statements of work for each order
• Selects prequalified vendors and distributes RFPs
• Executes award and monitors vendor performance
• Reviews reports for contract compliance; grades performance
• Performs quality assurance (detailed) reviews
• Invoice preprocessing and validation
• 1st -level business and vendor dispute resolution (e.g. vendor selection, utilization frequency, invoicing, etc.)

Required Skills:

• Active State-Certified General Real Estate Appraisal Credential
• 5+ years commercial real estate appraisal experience
• Intermediate proficiency in the use of the following software applications: Argus and/or Rockport Val, (cash flow software), Microsoft Excel (spreadsheet).
• Basic proficiency in other department programs including: Microsoft Word (word processing)
• An in-depth working knowledge of valuation theory and methodology for commercial and residential appraisals
• Able to write concise technical opinions in language comprehensible to expert and layman alike
• Able to work independently in a remote setting
• Commercial appraisal review experience for federally-regulated banking institution or equivalent highly preferred
• Able to adapt to new technology and changes to recognized valuation methods and techniques

Desired Skills:

• 2+ years commercial appraisal review experience for federally regulated banking institution or equivalent
• MAI designation
• Bachelor’s degree (financial degree or equivalent)