SAS/SQL Data Analyst

Confidential; Chicago (IL); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Relocation Assistance

Sign-on Bonus

Job summary

Confidential company in Chicago seeks a Fraud Analyst to enhance deposit security using analytics. The successful candidate will analyze suspicious activity and develop strategies to prevent fraud, leveraging expertise in SQL and SAS. A Bachelor’s degree is required, with a Master's preferred, along with a solid banking experience background.

The role involves collaboration with Corporate Security and requires excellent communication skills, programming proficiency, and a good understanding of banking regulations. Attractive relocation assistance and sign-on bonus are available.

Qualifications

• 4+ years of banking and lending experience or substantial analytical experience.
• At least 2 years in fraud prevention.
• Understanding of banking regulations (e.g. Reg CC, Reg E, AML/BSA).

Responsibilities

• Analyze trends in suspicious activity related to account opening and transactional activity.
• Build detection rules and statistical models for fraud prevention.
• Assist with various ad-hoc analyses.

Skills

SQL

SAS

Data Analysis

Critical Thinking

Programming (Python, R)

Education

Bachelor's degree in Business, Statistics or Economics

Master’s degree (strongly preferred)

Tools

Teradata

Hadoop

MS Office (Word, Excel, PowerPoint, Access)

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 requires basic understanding of deposit products and the data structure in Teradata, SAS and Hadoop environments.
• Build detection rules and statistical models for detecting and preventing fraud, analyze and report on their performance.
• Assist with a wide variety of ad-hoc analyses.

Qualifications

• Bachelor’s (Master’s strongly preferred) degree in Business, Statistics, or Economics.
• 4+ years of banking and lending experience or other substantial analytical experience with at least 2 years 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 communication (oral and written), interpersonal / business partnering, and organizational skills.

Additional Information

Qualified prospects may share your updated resume with smano(@)divihn.com or contact [phone] if you would like to learn more about this opportunity.