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Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
The Specialized Analytics Ld Data Engineer
As part of the Internal Fraud Analytics, this role executes the fraud analytics and strategies supporting Citi’s North American internal fraud detection. This includes leveraging data to identify internal fraud opportunities, designing and implementing strategies to detect internal fraud and violation of code conduct.
This role partners closely with Internal Fraud Operations, Prevention team and technology partners to align of business and technology direction in order to determine potential and existing internal fraud impacts and carry out whole cycle of implementation. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple data sources. Excellent communication and diplomacy skills are required.
Responsibilities:
Lead design, develop, implement, and support new and existing complex rule logic based on understanding of data and fraud scenario.
Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
Support the timely and accurate delivery of sandbox implementation and simulation of all detective routines, as well as following up with regional technology development and support team on the testing and deployment of the routines in Production environment.
Keep gaining domain and data knowledge.
Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities.
Develop technology documentation to support production deployments as well as ongoing maintenance of reporting and data solutions.
Troubleshoot, diagnose, and resolve data quality and performance issues.
Support technical and analytic needs for control risk and audit activities.
Qualifications:
Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.
10+ years of experience in data analytics, data engineer and analytical project implementation.
Experience:
Substantive hands-on coding experience in a big data environment. Solid SQL and Python skills are required. PySpark experience is valued.
Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights and perform risk/reward trade-off analysis.
Creative problem-solving skills; intellectual curiosity; highly detail oriented.
Deep understanding of data management such as data pipeline and data quality.
Must be able to work independently, take ownership of projects, and drive them to completion in a loosely structured setting.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
#LI-NC2
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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