The Business Analytics Lead Analyst will support the North America Fraud Prevention function covering the Retail Bank, CRS, and Brands lines of business. This position will work closely with internal business partners and technologists to create the solutions needed to mitigate and prevent fraud.

The successful candidate thrives in a fast-paced, high-performance team environment where creativity and commonsense result in great solutions. This person is a self-motivated, highly driven, quick, and proactive thinker who has the passion needed to respectfully challenge the status quo.  

The Business Analytics Lead Analyst responsibilities include the following:

Responsibilities:

• Engage as technology and data SME during interactions with key partners in Fraud Prevention to develop requirements for new reporting, dashboards, and tools.
• Develop code to extract data from various technology platforms to support CRS portfolios.
• Develop reporting dashboards to highlight impact of fraud trends on business performance and to identify opportunities for improvement.
• Utilize in-depth CRS, Brands, Retail Bank business knowledge to provide proactive support to our partners (unsolicited reporting and tools).
• Support key partners through data warehousing of business analytic views, data transmissions, data integrations, and process automation.
• Provide support for proofs of concept with new vendor tools that combat fraud applications and account takeover.
• Develop standards that ensure quality of execution and accuracy of business reporting.
• Manage ad-hoc requests for data analysis on data sources where documentation is minimal to non-existent.
• Stakeholder and people management experience.
• Demonstrated leadership skills.
• Proven ability to management multiple ad-hoc requests and small projects.

Qualifications:

• 5+ years of experience supporting fraud prevention efforts preferred.
• 10+ years of hands-on experience developing in SAS, SQL required.
• Knowledge of advanced SQL stored procedures required.
• Experience with Machine Learning: Regression, Classification, Clustering, Time Series Analysis, Decision Trees, Random Forests, Sentiment Analysis and Neural Networks preferred.
• 5+ years of hands-on experience with Hive/Hue, Python, R or other Big Data tools required.
• 8+ years of hands-on knowledge of distributed platforms like Linux or Unix required.
• 10+ years working with extremely large data sources from multiple platforms such as SQL Server, Oracle, Teradata, Hadoop, and the mainframe required.
• 10+ years of hands-on experience with SQL Server Management Studio (SSMS) required.
• Hands on knowledge of the Autosys enterprise scheduling tool required.
• 5+ years of hands-on experience with BitBucket code-versioning tool required.
• Intermediate to advanced knowledge of Microsoft Office Products (Word, Excel, PowerPoint, Access) required.
• 10+ years of hands-on experience in data manipulation required.
• Data Analysis: Statistical Modeling, Hypothesis Testing, Data Wrangling preferred.
• Hands on data visualization experience in Tableau, Power BI required.
• 8+ years of experience in reporting and ad hoc data support required.
• Ability to work collaboratively as well as independently to achieve superior results required.
• Hands on business analysis experience in requirements gathering, stakeholder management, and process mapping required.
• Have a strong analytical mindset to tackle incomplete, ambiguous, or erroneous data and be able to close data gaps.
• Proven track record of strong business knowledge and data analytical skills involving complex processes required.
• Ability to understand story behind data and summarize results adjusted by audience, required.
• Ability to independently challenge status-quo, identify opportunities, investigate issues, and propose recommendations required.
• Ability to work under tight deadlines and quickly adapt to changing priorities required.
• Ability to work successfully in a cross-functional organization required.
• Ability to effectively present technical concepts to a non-technical audience required.
• Hands on experience creating process documentation required.

Education:

• Bachelors/University degree in business or computer science. Master’s degree preferred.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

Jan 15, 2025

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

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