Overview
The Business Analytics Sr Analyst is a senior professional who applies in‑depth disciplinary knowledge to develop new techniques and improve processes and workflows in the area. The role integrates subject matter and industry expertise within a defined area and requires an understanding of how areas integrate within the sub‑function. Ensures accurate analysis by evaluating moderately complex issues with substantial potential impact and by weighing alternatives using multiple information sources. Demonstrates strong analytical skills to filter, prioritize, and validate dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal or formal leadership roles within teams and may coach and train new recruits. The role has significant impact on projects in terms of size and geography by influencing decisions and facilitating services to others in the area of specialization.
Primary responsibilities include:
- Strong knowledge of system and user functionalities of fraud orchestration engines such as Actimize (RCM/Actone), SAS Fraud Manager, LexisNexis, Threat Metrix, and related tools.
- Understand digital fraud concepts and related domains (e.g., wallets) to inform risk decisions.
- Ensure seamless implementation and management of fraud rules (Actimize Policy Manager) and various traditional and machine‑learning model updates, with attention to procedures and audit requirements and 100% execution accuracy. Interpret SQL logic and rationale for changes.
- Develop policy rules and fraud strategies on Actimize Policy Manager UI and promote changes in production and test environments.
- Collaborate with fraud strategy teams to validate rule performance, trends, and volumes.
- Focus on developing tactical and strategic solutions with high visibility for key stakeholders.
- Perform gap analyses to identify system weaknesses and work with partners to remediate.
- Assist with fraud rule performance management, including metrics such as hit rate, false positives, ROI, and regular reporting.
- Ensure rules maximize the capabilities of decisioning platforms by developing deep platform knowledge.
- Produce MIS reports and dashboards to communicate results of fraud strategy changes.
- Partner with stakeholders during strategy development and testing/validation activities.
- BAU analysis on bad merchants and fraud trends using SAS; BAU analysis on manual checks using Python and SAS.
- Contribute to organizational initiatives, including competency development and training.
Job Skills/Qualifications
- Bachelor’s degree, preferably in a quantitative discipline.
- Minimum 6–8 years in system execution, testing, and/or analytics.
- Minimum 4–5 years of experience in SAS/SQL (Oracle/Teradata) with strong data validation and analysis capabilities.
- Proficiency in enhancing SQL queries for data validation and analysis.
- Experience with model execution and governance; problem solving and the ability to deliver in a fast‑paced environment.
- Strong verbal and written communication skills and stakeholder management experience.
- Basic knowledge of reporting and visualization tools (e.g., Tableau).
- Actimize knowledge (Policy Manager, platform components) is a plus.
- Strategy execution or controls background preferred.
- Ability to work independently with risk and control mindset; ability to assess materiality and escalate issues as needed.
- Ability to handle large volumes of transactional data.
- Strong project management and organizational skills with the ability to multi‑task and meet deadlines.
Education
- Bachelor’s degree or equivalent experience.
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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