FRAUD ANALYTICS ANALYST

FRAUD ANALYTICS ANALYST | F-1 / OPT / STEM OPT

• Location: New York, NY
• Job Type: Full-Time
• Experience: Entry Level / Recent Graduate

ABOUT THE ROLE

We are seeking a Fraud Analytics Analyst to support data-driven fraud detection, risk monitoring, and investigative analytics. This opportunity is ideal for recent Master’s graduates interested in Data Analytics, Risk Analytics, Finance, and Machine Learning.

KEY RESPONSIBILITIES

• • Analyze transactional and behavioral data to identify suspicious patterns.
• • Monitor fraud-related metrics, trends, and risk indicators.
• • Perform data validation and investigate unusual activity.
• • Develop reports and dashboards for fraud and risk monitoring.
• • Use SQL to extract, transform, and analyze large datasets.
• • Support fraud detection models and rule-based monitoring systems.
• • Conduct trend and anomaly analysis to identify potential risks.
• • Collaborate with Risk, Data, Finance, Compliance, and Business teams.
• • Document findings and communicate recommendations to stakeholders.
• • Support continuous improvement of fraud detection and monitoring processes.

REQUIRED SKILLS

• • Master’s degree in Data Analytics, Data Science, Business Analytics, Statistics, Finance, Economics, or a related field.
• • Strong analytical and problem-solving skills.
• • Proficiency in SQL and Excel.
• • Understanding of statistics, data analysis, and risk concepts.
• • Familiarity with Python, Power BI, Tableau, or Machine Learning is a plus.
• • Strong attention to detail.
• • Good communication and presentation skills.

CANDIDATE PROFILE

• • Recent Master’s graduates / 2026 graduates preferred.
• • Candidates with backgrounds in Data, Analytics, Finance, Risk, Statistics, or Technology.
• • Candidates currently authorized to work in the U.S.
• • F-1 / OPT / STEM OPT candidates may be considered, subject to specific employer requirements.

CANDIDATE SUPPORT

Qualified candidates may receive support with profile review, interview scheduling, interview preparation, and technical training where applicable.

IMPORTANT NOTE

We do not directly hire for this role. Opportunities are subject to employer requirements, candidate profile fit, and the applicable hiring process.