Associate Fraud Event Analyst - Scottsdale, United States - Early Warning Services

Early Warning Services

Verified Company

Scottsdale, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, PazeSM, and so much more.

As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Overall Purpose:

This position provides support to the Fraud Risk Management Analytics team while at the same time learning data mining, data visualization and programming from an experienced Fraud Data Analyst.

Assist senior technical and business leaders in delivering fact-based insights to inform and influence change across the organization and within the participating financial institutions.

This includes creating and executing analyses at identifying fraud methodologies, points of compromise, root cause evaluation and associated observed volumes, financial and operational impacts with associated recommended remediation paths.

This position will be accountable in executing ongoing management of a compromised credential discipline to source, link and control the risk from exposed data.

Essential Functions:

Produces standard and ad hoc analytic reports.
Performs basic data analysis tasks, which include programming data transformations, interpreting results and investigating root causes to find answers to how fraud is committed with Early Warning's flagship payment product, Zelle.
Utilize Zelle Network's payment data, customer demographic data and customer behavior data using various components and structures of R programming, Python, SAS programming, SQL querying, and Hadoop programming in a time efficient manner to recommend strategies to reduce fraud loss.
Partner with internal teams to recommend solutions to convey financial impact, operational impact, and feasibility of solution implementation.
Effectively articulate actions recommended, based on insights derived from moderately complex analytics.
Expands and develops knowledge with exposure to a variety of roles related to area of study.
Participates on work teams, contributes to projects and initiatives, and performs various tasks as needed by the assigned unit/department.
Performs research and prepares reports on assigned topics and /or projects when required.
Works as a member of a team providing service to internal and external customers.
Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.

The above job description is a summary of job responsibilities and is not intended to be an all-inclusive list of duties and standards of the position.

Incumbents will follow instructions and perform tasks and other duties as assigned by their manager.

Minimum Qualifications:

Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
A minimum of 3 months data science, engineering, mathematics, or related work/ intern/ course experience is required.
SAS, Python, SQL or R programming training or experience.
Ability and adaptability to work on multiple projects concurrently, manipulate large data sets and produce businessrelevant results.
Ability to effectively communicate findings from complex analyses to nontechnical audiences.
Ability to communicate with various levels of employees within the department and proven technical and analytical skills.
Willingness to troubleshoot system/data issues hindering the analytics environment functionality.
Must be US Citizen or US National only.
Background and drug screen.

Preferred Qualifications:

Master's/PhD in Mathematics, Statistics, Computer Science, Engineering, Operational Research, or related field preferred.
SAS/SQL or comparable analytic coding certification
Experience with two or more financial institutions in fraud risk management
Additional related education and/or experience preferred
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.

Physical Requirements

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

Working conditions consist of a normal office environment.

Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours.

Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with interna