Data Analyst - Fraud Risk Management

You will be joining Snapmint's Fraud Risk team as a Data Analyst to lead fraud prevention for their digital lending products. Your main responsibilities will include monitoring fraud metrics across various products, identifying fraud patterns through data analysis, building and optimizing fraud rules, collaborating with tech teams for real-time controls, supporting fraud model development, investigating trends, and tracking rule/model performance. Qualifications required for this role include 2-5 years of experience in Fraud Risk or related roles in fintech, a strong understanding of credit lifecycle and fraud risk management, proficiency in SQL, Python/R, Excel, and dashboarding tools like Tableau or Databricks, analytical and problem-solving skills, and the ability to create and tune fraud rules effectively. You should be self-driven, adaptable, and able to balance fraud prevention with customer experience in a fast-paced environment. You will be joining Snapmint's Fraud Risk team as a Data Analyst to lead fraud prevention for their digital lending products. Your main responsibilities will include monitoring fraud metrics across various products, identifying fraud patterns through data analysis, building and optimizing fraud rules, collaborating with tech teams for real-time controls, supporting fraud model development, investigating trends, and tracking rule/model performance. Qualifications required for this role include 2-5 years of experience in Fraud Risk or related roles in fintech, a strong understanding of credit lifecycle and fraud risk management, proficiency in SQL, Python/R, Excel, and dashboarding tools like Tableau or Databricks, analytical and problem-solving skills, and the ability to create and tune fraud rules effectively. You should be self-driven, adaptable, and able to balance fraud prevention with customer experience in a fast-paced environment.