Pega - Workflow/data Automation Engineer jobs at Bank Of America in United States, Charlotte

Job Description:

Job Description:

The
Data Operations Analystsupports the Service Asset Configuration Management (SACM) Operations team which is responsible to ensure the assets (hardware/software) required to deliver services are properly controlled, and that accurate and reliable information about those assets are available when and where it is needed. The SACM Operations team provides reporting and operational capability for managing the inventory within the CMDB; including management of the Remedy internal product catalog.

This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.

Responsibilities:

• Manage workorder queue for asset management activities within the CMDB.
• Perform analytical analysis and assessments of data integration sources into the Master Data Warehouse
• Perform and communicate data consistency and accuracy assessments across key IT infrastructure SORs
• Drive future data standardization and quality measurements based on analysis outcomes
• Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
• Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
• Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
• Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
• Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
• Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
• Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes

Required Qualifications

• 3+ years Experience in Data Analysis or Data Integration
• SQL skills against industry standard DBMS (Cloudera, IBM, Trino, Oracle, SQL Server)
• Experience with problem management and ability to dive into root cause analysis.
• Experience with Data quality issues and development of metrics to support improvement of the data quality
• Basic technology knowledge with regards to terminology and database methodology.
• Strong interpersonal and business skills to achieve cooperation/coordination of multiple tasks being performed
• Ability to communicate effectively to multiple levels in technology organization
• Ability to effectively deal with multiple deadline-driven, customer-sensitive projects and tasks
• Strong time management and task prioritization skills
• Ability to communicate clearly and concisely verbally and in writing
• Ability to work with Senior management both on the Technology as well as Business
• Ability to assess and suggest changes to the Master Model over time
• Ability to provide input to reporting and integration requirements

Desired Qualifications

• ServiceNow ITSM experience
• ITIL 4
• Bachelor's degree in Technology from an Accredited University

Skills:

• Analytical Thinking
• Application Development
• Data Management
• Agile Practices
• Collaboration
• Decision Making

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.

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

Responsibilities:

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

• Acts as Auditor-in-Charge (AIC) by overseeing audit testing and ensuring it is executed in a timely manner and conforms with quality standards, audit policies, and procedures

• Leads audit testing to independently validate completeness and accuracy of diverse data sets across lines of business

• Assesses impacts to business processes, controls, and strategies to provide recommendations on severity ratings and escalate broad themes or trends accordingly based on existing business knowledge

• Exercises intellectual curiosity and judgment to effectively influence and challenge management to improve the control environment and drive continuous improvements on audit

• Oversees a team of associates and provides day-to-day mentoring and guidance and fosters an inclusive work environment

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

• Exercises sound knowledge of product, business, and technical expertise to effectively challenge management to improve the control environment

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:

• Analytical Thinking

• Audit Planning

• Internal Audit Review

• Issue Management

• Risk Management

• Business Acumen

• Coaching

• Project Management

• Relationship Building

• Written Communications

• Attention to Detail

• Automation

• Critical Thinking

• Technical Documentation

Required Qualifications:

5+ years of experience in a role in financial services, technology, or other relevant technical field

Prior experience working with data (i.e. analytics; data mining; automation)

Prior experience leading projects, managing against deadlines, and reporting results to management

Analytical / Automation Skills (SQL, SAS, Python. Alteryx, Advanced Excel)

Strong communication and presentation skills

Desired Qualifications:

Big 4 background a plus, including external audit or advisory/consulting

Experience working with Artificial Intelligence (AI) tools in a professional environment

Advanced degree or certifications (CIA, CISA etc. – CPA Preferred)

Audit or risk/controls background in financial services

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:

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

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.