Fraud Analytics Analyst | SAS & Python | Hybrid

Citi; New York (NY); Hybrid; USD 9,400 - 16,000; Full time

Job summary

Citi is seeking a Business Analytics Analyst 2 for its Fraud Analytics team in Bengaluru. The role focuses on leveraging data to identify fraud trends, designing detection strategies, and partnering with policy, operations and tech teams to implement interventions.

Responsibilities include managing fraud rules, analyzing data for trends, producing MIS reports and dashboards, and communicating findings to business partners. A strong analytics background and experience with SAS/SQL are required.

Qualifications

• Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field.
• Engineering / MBA background from a premier institute.
• Minimum 3+ years of hands-on analytical experience.
• Minimum 3+ years’ experience in statistical analysis with working knowledge of SAS / SQL (mandatory), R / Python (desired).
• Hands on experience in data visualization tools, such as Tableau.
• Strong verbal and written communication skills with stakeholder management.

Responsibilities

• Leverage analytics to identify enhancement opportunities and granular insights.
• Ownership and management of fraud rules, scores, and detection strategies.
• Analyze customer and transactional data to identify emerging fraud trends and develop strategies.
• Collaborate with cross-functional teams to provide strategy recommendations and implement mitigations.
• Generate and manage regular and ad-hoc reporting for monitoring and trends.
• Assess processes to identify gaps and opportunities.
• Develop MIS reports, dashboards and communicate results using visualization techniques.

Skills

SAS

SQL

Python

R

Tableau

Statistics

Data analysis

Communication

Education

Bachelor’s degree in Statistics/Economics/Finance/Mathematics

Engineering/MBA background

Tools

SAS

SQL

Tableau

Job description

Citi is seeking a Business Analytics Analyst 2 for its Fraud Analytics team in Bengaluru. The role focuses on leveraging data to identify fraud trends, designing detection strategies, and partnering with policy, operations and tech teams to implement interventions.

Responsibilities include managing fraud rules, analyzing data for trends, producing MIS reports and dashboards, and communicating findings to business partners. A strong analytics background and experience with SAS/SQL are required.