Data Engineer, Risk Management

Bank OZK•Little Rock, AR

14h

About The Position

Creates, documents, and maintains Corporate Risk Management’s data infrastructure, databases, metrics, and critical data sets in partnership with Corporate Risk Management directors, senior leaders, data scientists, and business unit managers. The role develops ETL pipelines, metrics, and data sets supporting the Bank’s Risk Management functions, and contributes to data architecture, infrastructure, advanced analytics, and reporting. It also works with Data Science and other Data Engineers to maintain stable, scalable pipelines and data quality practices. The position may require travel on company business and requires regular discretion and judgment, punctuality, adherence to Bank policies, procedures, and guidelines, and operation of customary business equipment and technology.

Requirements

Master’s degree in computer science, economics, finance, data science, or a related quantitative field, or commensurate work experience.
At least 1 year of programming experience in SQL.
At least 1 year of experience in at least one scripting language.
Knowledge of scripting programming languages and SQL.
Knowledge of software development best practices, data modeling, and ETL.
Knowledge of the financial services industry.
Ability to prepare written deliverables and presentations for board and management committees, senior leaders, and business unit managers.
Effective interpersonal, communication, and analytical skills.
Creativity, critical thinking, initiative, and problem-solving skills.
Ability to partner effectively with multiple business groups, corporate areas, auditors, and regulators.
Ability to work collaboratively in a fast-paced, unpredictable environment with exacting deadlines.
Ability to manage multiple work streams and deliverables and coordinate across functional initiatives.
Ability to travel as needed for business purposes.
Skill in using computers and Microsoft Office, including Word, Excel, PowerPoint, and Outlook.

Nice To Haves

Python experience.

Responsibilities

Develop ETL pipelines, calculate metrics, and create critical data sets for the Bank’s Risk Management functions by developing an understanding of critical data sources.
Work with large and complex data sets to build ETL pipelines, metrics, and mission-critical data sets.
Assist in conceptualizing and executing Corporate Risk Management’s data architecture and infrastructure.
Design, build, and launch complex data models to support advanced analytics and reporting.
Optimize essential SQL queries and data pipelines.
Provide peer reviews, code reviews, and additional feedback to other Data Engineers on the Risk Management team as needed.
Partner with Data Science to create stable, scalable data pipelines and identify key data elements and related data quality rules.
Travel on company business as needed to support lines of business and data efforts.
Exercise discretion and judgment in performing essential job functions; maintain punctuality and attendance; and follow Bank policies, procedures, and guidelines.
Operate customary equipment and technology used in a business environment, with or without accommodation.