Data Modeller

Job Title: Senior Data Engineer - Audit Analytics

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.

Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world.

We are devoted to being a diverse and inclusive workplace for everyone.

We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees.

We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow, and make an impact, along with the power to make a difference.

Job Description:

The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization.

The Senior Data Engineer role will be responsible for developing and implementing a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI.

This role demands interaction with highly experienced audit and/or credit professionals, data experts, and technology.

Intellectual curiosity will drive critical thinking to produce optimal solutions.

Strong time management, coordination, communication, and presentation skills are a must in this role.

Responsibilities:

• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement.
• Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes.
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls.
• Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.).
• Supports the design and execution of new analytics, automated testing tools, and models.
• Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work.
• Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.
• Exercises judgment, critical thinking, and sound communication skills to influence business partners.
• Coaches/trains junior team members in execution of analytics and automation activities.

Managerial Responsibilities:

This position may also have responsibilities for managing associates.

• Diversity & Inclusion Champion:

Models an inclusive environment for employees and clients, aligned to company D&I 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
• Highly motivated, proactive, and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
• Takes initiative and demonstrates focused desire to drive improvements vs. relying on status quo
• Organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment.
• Expert in data analytics, mining, manipulation, aggregation, integration, and reporting
• Relational database management systems architecture
• Data modeling and tuning experience
• SQL Programming, stored procedures, functions, objects etc.
• Knowledge of data management (data quality, metadata management, governance, etc.) and BI/data management tools and applications
• Good verbal and written communication skills

Required Qualifications:

• Data Analytics, SQL
• Degree in business, computer science, or related discipline

Desired Qualifications:

• Audit Process Knowledge
• Knowledge of the Hadoop ecosystem on tools like HIVE/Impala/Spark
• Tableau/SSRS or other current reporting tool
• Agile team member
• Knowledge of bank technology and data management standards

Shift:

1st shift (United States of America)

Hours Per Week:

40

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial, and municipal laws.

The company also prohibits discrimination on other bases such as medical condition, marital status, or any other factor that is irrelevant to the performance of our teammates.

To view the EEO is the Law poster, CLICK HERE.

To view the EEO is the Law Supplement, CLICK HERE.

View the LA County Fair Chance Ordinance.

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse.

Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of America's Drug-free Workplace and Alcohol Policy, CLICK HERE.

This communication provides information about certain Bank of America benefits.

Receipt of this document does not automatically entitle you to benefits offered by Bank of America.

Every effort has been made to ensure the accuracy of this communication.

However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern.

Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents.

Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

---