Risk & Fraud Investigator

About Binance.US: Binance.US is America's home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, Binance.US offers some of the lowest fees in the industry and provides secure and reliable access to more than 160 of the world’s most popular cryptocurrencies. We’re on a mission to empower people to do more with their money. The new economy has arrived and we’re committed to helping everyone access the world of blockchain and crypto. To learn more about Binance.US, visit All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: The Risk & Fraud Investigator is part of the Risk team and reports to our Senior Manager, Fraud & Risk. As a Risk & Fraud Investigator, you will utilize your inherent analytical and problem-solving abilities to assess cases in order to identify patterns or anomalies within intricate transactions, workflows, and risk management procedures. You will collaborate on a regular basis with other partner teams, such as Risk Operations, Customer Success, Compliance, and Data, to encourage innovation and have an impact on our overall risk programs and processes. In addition, the Risk & Fraud Investigator will collaborate with our Risk Ops BPO teams to ensure the maintenance of Quality Assurance programs and training. The ideal candidate will possess exceptional analytical and communication abilities. They will conduct time-sensitive and thorough investigations with an emphasis on fraudulent or high-risk activities, including Account Takeover, Identity Theft, Scam, and other fraud taxonomies. The successful candidate will be proficient in the development of training, workflows, and the provision of feedback to risk operational teams and business partners. They will meticulously maintain all investigation-related records and supporting documentation. Additionally, the candidate must be able to solve ambiguous problems and possess a strong sense of self-motivation. Core Responsibilities: • Investigate complex fraud situations including account takeover, elder and vulnerable abuse, and identity theft • Secure accounts by placing blocks to prevent financial loss • Identify fraud trends and communicate them to management • Ability to conceptualize, develop, and implement process improvements • Flexibility to adapt and able to manage multiple assignments while working independently • Assist in developing technical specifications for tool enhancements, build-out, and fine-tuning • Work closely with partner teams, such as Risk Operations, Customer Success, Compliance, and Data, to encourage innovation and have an impact on our overall risk programs, processes, and workflows • Understanding of blockchain analysis • Document and provide monitoring sessions to RIsk Ops and Training/QA teams Preferred Skills/Experience: • Certified Fraud Examiner (CFE), Certified Anti-Money Laundering Specialist (CAMS) • Basic SQL • Blockchain tracing • Visualization knowledge in Datawind, Tableau • Efficient in Google Suite Products Salary: The starting pay range for this role is USD $85,000 for all U.S.remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers. Our mission is to give Americans access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers. Apply tot his job