<p>Kforce has a client in NYC that is seeking a Fraud & Risk Analyst.</p> <p>Responsibilities:</p> <ul> <li>Transform raw data into actionable and relevant information for stakeholders </li><li>Conduct exploratory analysis of internal and external data sources using advanced techniques, algorithms, and tools </li><li>Identify emerging fraud trends across Intuit's product portfolio </li><li>Provide regular updates and insights to leadership, peers, and stakeholders, emphasizing actionable outcomes and business impact </li><li>Collaborate with business partners and stakeholders to design effective analysis and measurement approaches, improving the understanding and addressing of emerging business issues </li><li>Work closely with local and global teams in policy, product, data engineering, data science, and R&D </li><li>Develop controls and monitoring dashboards to ensure performance against business goals, regulatory requirements, and priorities </li><li>Support policy teams by providing insights to optimize the performance of their solutions* 5+ years of experience analyzing complex datasets, and providing business recommendations </li><li>3+ years of experience working in the Customers Account Security Domain (Account take over mitigation, Identity analytics) </li><li>3+ years of experience building dashboards and data visualization </li><li>Extensive SQL experience, specifically in your current role </li><li>Proven ability to work independently and make decisions with minimal direction within assigned timelines </li><li>Able to express thoughts and ideas in fluent and concise manner </li><li>A problem solver with strong analytical skills </li><li>A creative and critical thinker </li><li>Unafraid to question fundamental assumptions </li><li>Naturally inquisitive and always looking to expand your knowledge </li><li>Capable of working independently and making decisions with little direction </li><li>Capable of communicating ideas clearly and concisely </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Bachelor's degree, or foreign equivalent, in Computer Science, Information Systems Management, Engineering (any field), or closely related quantitative discipline </li><li>Background in fraud prevention, with emphasis on tax fraud </li><li>Experience building ETL pipelines </li><li>Experience with Tableau/QlikView or and other data visualization software </li><li>Experience with Github/Splunk/Python </li></ul>