Early Warning Services 

Early Warning Services was formed with one purpose in mind – to help eliminate fraud in our financial systems. Built upon a 20-year foundation of providing fraud prevention services and its longstanding bank ownership, Early Warning is established as a trusted resource for strategic fraud management. Early Warning facilitates the secure exchange of information and knowledge between organizations and offers solutions for responding quickly to evolving fraud challenges. Through its collaborative business model, Early Warning helps organizations obtain a single view of fraud activity across the enterprise and manage fraud on a cross-institution basis.

Statistical Data Analyst  II

Overall Purpose

Responsible for the conceptualization, design, implementation, and enhancement of analytically derived models and reports to produce the highest level of fraud prediction and prevention.

Essential Functions

• Extract, transform and load (data ETL) datasets from various sources and formats
• Create, optimize and maintain predictive models.
• Utilizes statistical methods and analytics to produce quantifiable results in support of high level business objectives. 
• Responsible for assessing the value of new data sources, data elements, and alternative modeling approaches.
• Design and code methods for validating and monitoring model performance.
• Support Account Management and Operations in analysis of customer data.
• Translate non-technical business questions into quantifiable analysis tasks.
• Effectively communicate findings from complex analyses to non-technical audiences.
• Complies with all security policies and procedures, to ensure that the highest level of system and data confidentiality, integrity and availability is maintained.

Qualifications

• Bachelor’s Degree in Mathematics, Statistics, Computer Science, or related field; Advanced degree preferred. 
• A minimum of 3 years experience as a statistical data analyst or similar role utilizing predictive analytics and data mining techniques in a data rich environment.
• A minimum of 2 years experience with SAS programming (Base SAS, SAS STAT, SAS Macro, and Proc SQL).
• Proven experience in data mining, data manipulation and data step programming.
• Experience with a wide variety of statistical modeling techniques and machine learning algorithms.
• Approved background and drug screen is required.

Benefits

Early Warning offers full-time employees competitive salary and a unique benefits package including concierge service for employee personal needs, credit monitoring service for identity theft protection, a host of activities for employees and their families, 4 weeks paid time off, 401k plan with company match and 2 year vesting, tuition assistance, and the more traditional benefits including medical, dental, vision, life, and disability insurance.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire.

Early Warning Services is an equal opportunity employer.