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Data Analyst

Chicago, IL, United States

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Job details

Experience: 4(+) years Banking and Lending experience or other substantial analytical experience with at least 2 year in fraud prevention
Posting language: English
Posted: Sep 25, 2016

Original job description

Company Description For our premier client

Job Description

H1B's OK / Non-Locals OK / Sponsorship available / Sign-on bonus available / Relocation Assistance available

Note: SAS/SQL Analytics background is the primary skill, Fraud experience is not mandatory. This position will report to the Manager of Deposits Fraud Strategy team. The successful candidate will become a joint stakeholder in the overall effort by Corporate Security to prevent and detect fraudulent activity directed against our client’s rapidly developing Deposit product lines. This position will utilize extensive data processing and analytical skills combined with subject matter expertise on deposit products to design and deploy new, industry leading strategies to prevent criminal enterprises, organizations, and individuals from using technology to defraud our client’s customers and accounts.

Responsibilities

Analyze trends in suspicious activity during the process of opening new accounts, transactional activity and account takeover activity. This will require basic understanding of deposit products and the data structure in Teradata, SAS and Hadoop environments.
Build detections rules and statistical models for detecting and preventing fraud. Analyze and report on their performance.
Assist with a wide variety of ad-hoc analyses #LI-BP1.

Skills

Bachelor’s (Masters strongly preferred) degree in Business/ Statistics/ Economics
4(+) years Banking and Lending experience or other substantial analytical experience with at least 2 year in fraud prevention
Understanding of banking regulations, e.g. Reg CC, Reg E, Fair Banking, AML/BSA etc.
Critical thinking skills
Ability to use all available tools for analyzing account activity including but not limited to – core banking platform, authentication tools, vendor solutions and data processing tools.
High proficiency in programming (data processing and analysis) using SQL, SAS, R, shell scripting, Python
Experience with Teradata, Hadoop, Unix environments is highly preferred
MS Office (Word, Excel, Powerpoint, Access)
Excellent communications (oral and written), interpersonal / business partnering, and organizational skills. Additional Information Qualified prospect kindly share your updated resume to smano(@)divihn.com / can reach me on (630) 908 2919 if you would like to learn more about this opportunity over a quick phone call.

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More about this job

Skills

SAS
SQL
Google Analytics
Process data
Analytical skills
Teradata
Apache Hadoop
Statistics
Anti-money laundering
Critical thinking
R
Python
UNIX
Microsoft Office
Microsoft Word
Microsoft Excel
Microsoft PowerPoint
Microsoft Access
Organizational skills

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