Data Engineer, Risk Management

Bank OZK•Little Rock, AR

About The Position

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers. The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits. 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.

Requirements

Knowledge of scripting programming languages (e.g., Python, Java, etc.) 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.
Ability to demonstrate effective interpersonal, communication, and analytical skills.
Ability to demonstrate creativity, critical thinking, initiative, and problem-solving skills.
Ability to partner effectively with multiple business groups, corporate areas, auditors, and regulators.
Ability to operate and 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 computer and Microsoft Office, including Word, Excel, PowerPoint, and Outlook.
Master’s degree, in computer science, economics, finance, data science or related quantitative field, or commensurate work experience, required.
1+ year of programming experience in SQL, required.
1+ year of experience in at least one scripting language, required.

Nice To Haves

Python experience, preferred.

Responsibilities

Develops ETL (extract, transform, and load) pipelines, calculates metrics, and creates critical data sets for the Bank’s Risk Management functions by developing an understanding of all of Bank’s critical data sources.
Works with large and complex data sets to build ETL pipelines, metrics, and mission critical data sets.
Assists in the conceptualization and execution of Corporate Risk Management’s data architecture and infrastructure.
Designs, builds, and launches complex data models to support advanced analytics and reporting.
Optimizes essential SQL queries and data pipelines.
Assists other Data Engineers in the Risk Management team by providing peer reviews, code reviews, and additional feedback, when necessary.
Partners with Data Science in the Risk Management team to create stable, scalable data pipelines and identify key data elements and related data quality rules.
May travel on company business to support lines of business and data efforts.
Regularly exercises discretion and judgment in the performance of essential job functions.
Maintains good punctuality and attendance to work.
Follows Bank policy, procedures, and guidelines.