Department : Security & Risk Management Location : Philippines Department : Security & Risk Management Location : Philippines Job Description
- Monitor transactional data to identify suspicious patterns, emerging fraud trends and anomalies.
- Design and maintain fraud detection dashboards, models, and rules using statistical and machine learning techniques.
- Collaborate with product, engineering, and compliance teams to implement and fine-tune fraud detection.
- Conduct root cause analyses on fraud incidents and provide actionable insights.
- Develop reporting frameworks to communicate fraud trends, risk metrics, and investigation outcomes to stakeholders.
- Continuously refine detection logic based on feedback and fraud evolution.
- Support incident response teams in investigating and responding to fraud alerts.
- Stay current with industry best practices and evolving fraud tactics. Job Requirements
- Bachelor’s degree
- 2-4+ years of experience in fraud analytics, risk management, or a data analyst role with fraud exposure.
- Strong proficiency in SQL for data extraction, transformation, and analysis.
- Hands-on experience with data tools like Python, R, or similar analytics languages.
- Familiarity with BI tools such as Tableau, Power BI, or Looker.
- Knowledge of fraud detection systems, scoring models, and behavioral analytics.
- Experience working with large datasets and cloud-based data platforms Snowflake, BigQuery, Redshift).
- Understanding of payment systems, chargeback processes, or identity verification methods is a plus.
- Exposure to machine learning libraries for anomaly detection.
- Experience with fraud case management tools and rule engines.
- Background in e-commerce, fintech, or banking sectors.
- Ability to communicate complex insights clearly to both technical and non-technical stakeholders.