Avp-fraud Business Analytics

3 weeks ago

Bengaluru, India Citi Full time

The team is Analytics Innovation that is a global analytics unit under Global Internal Fraud Analytics. The team focuses on conducting the innovation and implementation of data pipeline, data structure, BigData Sandbox, detection routines, advanced algorithms, AI/ML models and Prevention Analytics. The current role is the team lead who reports to Internal Fraud Analytics Head directly.

**Responsibility**
- Under the supervision of global internal fraud analytics head, manages a team of core data scientists based globally to own the advanced analytics innovation and implementation for all regions (APAC, EMEA, NAM and Mexico). Be responsible for managing both the KPI of individual team member and the team’s overall productivity and satisfaction.
- Engage and work closely with each regional Internal Fraud Analytics Intelligence lead, 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.
- Conduct advanced analytics/algorithm research and innovation, deliver AI/Machine Learning models for various use cases. Work closely with Internal Fraud Prevention team on the delivery of IFRA Smart Analytics.
- Work closely with Internal Fraud Governance and Control team on implementation and change process design, optimization and execution. Ensure the team’s activities are compliant with related controls.
- Be the point person of all tech and business stakeholder management and communication for data design, analytics implementation and modelling. Produce regular and timely reporting of projects/tasks status and progress.

**Qualifications**
- 6+ years’ experience in data engineering, technology development, advanced analytics and modeling, project management with team management experience;
- Experience in fraud analytics or development is a huge plus;
- Deep understanding and hands-on experience of data techniques and tools in Hadoop environment: Linux, Spark, Hive, Python etc.;
- Deep understanding and project experience of data management such as data pipeline, data structure and data quality governance;
- Deep understanding and project experience of AI and Machine Learning models;
- Strong proficiency in Agile toolkits: Jira, Bitbucket and Confluence;
- Proficient in both spoken and written English. Mandarin/Spanish is a plus.

**Education**

Bachelor’s degree/University degree or equivalent experience
- **Job Family Group**:
Decision Management
- **Job Family**:
Business Analysis
- **Time Type**:
Full time
- 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.

View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**.

View the **EEO Policy Statement**.

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