Data Analyst
At a glance
Mid-level Data Analysis & BI role at Confidential. Chicago · no salary stated · we estimate $87,588–$129,663.
Confidential has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Study suspicious patterns in new-account openings, transaction activity and account takeovers
- Create fraud detection rules and statistical models, then assess how well they perform
- Use deposit-product knowledge and data from Teradata, SAS and Hadoop environments in your analysis
- Handle a range of additional analytical requests as they arise
What you bring
- A bachelor's degree in business, statistics or economics; a master's degree is strongly preferred
- At least four years in banking, lending or substantial analytics, including two years in fraud prevention
- Strong programming ability for data analysis using SQL, SAS, R, shell scripting or Python
- Knowledge of banking rules such as Reg CC, Reg E or AML/BSA
Who this fits
This mid-level role suits an analyst who can apply data-processing skills to deposit fraud detection; prior fraud work is not mandatory, though the stated experience requirement includes fraud prevention. The position is based onsite in Chicago. H-1B candidates and applicants outside the local area are accepted, with sponsorship and relocation assistance available.
From the employer
For our premier client
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 .
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.
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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