Risk Technologist I
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. One of the fastest-growing credit card providers in the United States, Credit One Bank offers credit cards through the Visa®, Mastercard® and American Express® networks. Credit One Bank is the Official Credit Card of NASCAR®, the Las Vegas Raiders, the Vegas Golden Knights, and Best Friends Animal Society, and is a proud partner of WWE and Six Flags®. Learn more at CreditOneBank.com and on social media (@CreditOneBank) on Facebook, Instagram, Twitter, YouTube, and LinkedIn.
We are looking for highly qualified professionals at our state-of-the-art, corporate headquarters in Las Vegas, NV. In addition to providing our card members with superior value and service, we are dedicated to providing engaging and challenging career opportunities for our employees. As a member of the Credit One Bank team, we’ll help you be your best and support you so you can reach your full potential.
This position is a part of the Pega Decision Engine. This team is based in the Risk department and plays a pivotal role in supporting the bank. The team’s mission is to challenge the state of data quality and continuously drive improvements through better and higher definition data analysis. Our goal is to continuously measure the quality of data, quicken the pace of anomaly detection, drive data quality improvements at the source, and speed up cycle times for data remediation. Our data professionals are tasked with creating guidelines and policies for data standards that ensure clean, governed data for the enterprise.
Part of our strategy is the development of more advanced data quality analytics and machine learning-powered models that touch on the entire data lifecycle across domains of data that represent campaigns, response, credit, fraud, customer service, finance, and collections.
The Risk Technologist I performs analysis and optimization activities in support of data quality and data validation. They also play a critical role in defining and creating the future state of data and analytics in the enterprise. Team members are expected to build trust and relationships through effective communication with both technical and non-technical partners within multiple departments to foster success. A successful individual in this role learns and imparts business knowledge, data analytics, and business analysis expertise related to the sources and uses of data for effective decision-making.
Summary Essential Job Functions
·Conduct research to understand, predict and defend against data quality errors
·Leverage large volumes of diverse data to understand the relationships, rules and usage patterns of data that might impact business results
·Test/Deploy sophisticated analytics programs, machines learning and statistical methods to ensure data is prepared for use in decisioning, predictive and prescriptive modeling
·Explore and examine data from source systems, Data Lake, Data Warehouse and business partners to find and implement data quality rules
·Test/Deploy modern, high-scale data quality analysis, reporting, early warning and prioritization methods
·Communicate in crisp, fundamental terms to key stakeholders based on analysis of data, data relationships, uses cases and data anomalies
·Provide data quality metrics and remediation forecasts to teams developing pipelines, analytic solutions and decision strategies
·Present results and recommendations and craft coherent, crisp messaging from complex, voluminous data and output
·Test, validate, and deploy machine learning algorithm to enhance existing and/or introduce new processes and show bottom line impact
·Interact with analysts, modelers, and pipeline developers across the business
·Anticipate issues based on knowledge of internal data trends and propose solutions
·Serve as a consultant to internal technical and line of business teams
·Promote data validation goals, ensure accuracy of deliverables, and communicate precisely
·Bachelor’s degree in Business, Mathematics, Statistics, Engineering, Computer Science or related field
·Experience using SQL (SQL Server, Oracle, Teradata etc.) and at least one analytical package such as SAS, Python, R, etc.
·Working knowledge of analytical techniques including regression analysis and Machine Learning algorithms for pattern recognition, predictive analytics, anomaly detection and operational analytics
·Organizational and prioritization skills to manage multiple, competing priorities
·Excellent communication skills and ability to thrive in a fast-paced complex environment
Credit One Bank, N.A. is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin.
Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.
- Job Family P1 - Professional
- Pay Type Salary
- 6801 S Cimarron Rd, Las Vegas, NV 89113, USA