Job Title: Fraud & Risk Analyst Location: New York, NY 10003 Duration: 12 Months Pay Range: $70-$90/hr Job Description: We are seeking a Fraud & Risk Analyst to join our Trust & Safety team in New York. In this role, you will play a crucial part in safeguarding our products from fraudulent activities. Your primary responsibility will be to analyze data to uncover patterns of fraud, aiming to gain a comprehensive understanding of how bad actors operate. This requires a keen eye for detail, strong analytical skills, and familiarity with data visualization techniques. You will be responsible for creating intuitive dashboards that will allow your stakeholders to monitor and mitigate these fraudulent patterns efficiently. You’ll be a good fit to this role if you are: A problem solver with strong analytical skills. A creative and critical thinker. Unafraid to question fundamental assumptions. Naturally inquisitive and always looking to expand your knowledge. Capable of working independently and making decisions with little direction. Capable of communicating ideas clearly and concisely. Responsibilities Transform raw data into actionable and relevant information for stakeholders. Conduct exploratory analysis of internal and external data sources using advanced techniques, algorithms, and tools. Identify emerging fraud trends across our product portfolio. Provide regular updates and insights to leadership, peers, and stakeholders, emphasizing actionable outcomes and business impact. Collaborate with business partners and stakeholders to design effective analysis and measurement approaches, improving the understanding and addressing of emerging business issues. Work closely with local and global teams in policy, product, data engineering, data science, and R&D. Develop controls and monitoring dashboards to ensure performance against business goals, regulatory requirements, and priorities. Support policy teams by providing insights to optimize the performance of their solutions. Required Qualifications +5 years of experience analyzing complex datasets, and providing business recommendations. +3 years of experience working in the Customers Account Security Domain (Account take over mitigation, Identity analytics). +3 years of experience building dashboards and data visualization. Extensive SQL experience, specifically in your current role. Proven ability to work independently and make decisions with minimal direction within assigned timelines. Able to express thoughts and ideas in fluent and concise manner. Preferred Qualifications: Background in fraud prevention, with emphasis on tax fraud. Bachelor’s degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline. Experience building ETL pipelines. Experience with Tableau/QlikView or and other data visualization software. Experience with Github / Splunk / Python