{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/risk-scoring"},"x-facet":{"type":"skill","slug":"risk-scoring","display":"Risk Scoring","count":5},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9d8d91da-52f"},"title":"Enterprise Risk Management Lead","description":"<p>About Gusto</p>\n<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.</p>\n<p>All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.</p>\n<p>About the Role:</p>\n<p>Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto&#39;s Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.</p>\n<p>This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between &quot;doing the work&quot; and &quot;leading the work&quot; , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.</p>\n<p>You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.</p>\n<p>You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<p>You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto&#39;s compliance risk management framework.</p>\n<p>You apply a deep understanding of the regulatory landscape and how it intersects with Gusto&#39;s business model to proactively design and lead cross-functional risk programs.</p>\n<p>You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.</p>\n<p>You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.</p>\n<p>As a PE, you balance individual risk and compliance contribution with team leadership.</p>\n<p>You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.</p>\n<p>You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team&#39;s AI journey and helping others apply it responsibly and effectively.</p>\n<p>AI-Enabled Risk Operations, Innovation &amp; Transformation</p>\n<p>This is how you and your team operate , not a side 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improve detection coverage.</p>\n<p>You will build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness.</p>\n<p>You will operationalize and iterate on enforcement tooling , including appeals workflows, review processes, and user communications , to maintain quality and scale with growing volume.</p>\n<p>You will analyse enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve.</p>\n<p>You will manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners.</p>\n<p>You will coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes.</p>\n<p>You will collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows.</p>\n<p>You will maintain detailed documentation of signal development, enforcement processes, and operational decisions.</p>\n<p>This role requires 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement.</p>\n<p>You should have hands-on experience building detection systems, risk models, or enforcement processes and workflows.</p>\n<p>You should have experience evaluating and integrating third-party data sources into detection or scoring pipelines.</p>\n<p>You should have strong SQL and Python skills , this role involves heavy data analysis across complex, multi-table data relationships.</p>\n<p>You should have familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications.</p>\n<p>You should have demonstrated ability to analyse complex data problems and translate findings into actionable improvements.</p>\n<p>You should have strong written and verbal communication skills , ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations.</p>\n<p>Equivalent practical experience or a Bachelor&#39;s degree in Computer Science, Data Science, or related field is required.</p>\n<p>This role offers an annual salary range of $230,000-$310,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1421728f-e82","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5108841008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230,000-$310,000 USD","x-skills-required":["risk scoring","fraud 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Plaid is dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.</p>\n<p>Fraud remains one of the hardest problems in financial services,and one of the biggest opportunities for Plaid. Our Fraud team is building the trusted identity backbone for the financial ecosystem, helping customers onboard good users with confidence while keeping bad actors out.</p>\n<p>As the Product Manager for Identity Verification (IDV) and Monitor (AML), you’ll own the foundation of Plaid’s fraud platform. IDV enables fast, accurate identity verification at onboarding, while Monitor provides continuous AML screening and transaction monitoring. Together, they power Protect and Layer–Plaid’s next-generation fraud products.</p>\n<p>In this role, you will take end-to-end ownership of IDV and Monitor–setting direction, driving execution, and aligning teams around measurable outcomes. You’ll blend technical, data and design perspectives to move from concept to production quickly and deliver systems that are accurate, reliable and built for scale. You’ll partner directly with Plaid’s fraud founders and an experienced engineering team to raise the standard for fraud prevention.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set the direction. Own the vision, strategy, and roadmap for IDV and Monitor end to end. Drive meaningful outcomes for fraud prevention, compliance, and customer experience.</li>\n</ul>\n<ul>\n<li>Build the backbone. Grow IDV and Monitor as the core of Protect and Layer by expanding data coverage, improving decision quality, and enhancing reliability, latency, and transparency across systems</li>\n</ul>\n<ul>\n<li>Execute with focus. Partner closely with engineering, design, and other Fraud teams to move from concept to production with clear launch criteria and consistent follow-through.</li>\n</ul>\n<ul>\n<li>Communicate with precision. Create clarity across teams by articulating decisions, tradeoffs and rationale crisply. translating complex systems into simple narratives and keeping partners aligned on what matters.</li>\n</ul>\n<ul>\n<li>Stay close to the field. Engage with customers and GTM teams to spot fraud and compliance patterns early, translate them into product improvements, and maintain momentum through demos, integrations, and launches.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>6+ years of product management experience in fraud, risk, security, or identity</li>\n</ul>\n<ul>\n<li>Strong technical foundation with a degree in Computer Science or a related field preferred</li>\n</ul>\n<ul>\n<li>Experience building or integrating fraud detection, risk scoring, or IDV/AML systems</li>\n</ul>\n<ul>\n<li>Ability to write clear product requirements and communicate technical concepts to diverse audiences</li>\n</ul>\n<ul>\n<li>Comfortable working closely with engineering, data, and go-to-market teams to deliver measurable impact</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn&#39;t fully match the job description.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e84f14f4-f65","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/80321712-6e20-47af-9dd9-c79e9f55ab44","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$206,600-$306,000 per year","x-skills-required":["fraud detection","risk scoring","identity verification","anti-money laundering","product management","technical writing","communication","team leadership"],"x-skills-preferred":["data science","machine learning","software development","design thinking"],"datePosted":"2026-04-17T12:51:05.498Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"fraud detection, risk scoring, identity verification, anti-money laundering, product management, technical writing, communication, team leadership, data science, machine learning, software development, design thinking","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206600,"maxValue":306000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef745c10-dc6"},"title":"Senior Manager - BSA/AML & Sanctions Modeling and Analytics","description":"<p><strong>Job Title:</strong> Senior Manager - BSA/AML &amp; Sanctions Modeling and Analytics</p>\n<p><strong>About Us:</strong> Mercury is a fintech company that provides banking services to entrepreneurs and businesses.</p>\n<p><strong>Job Description:</strong> We are looking for a Senior Manager to lead our BSA/AML &amp; Sanctions Modeling and Analytics function. The successful candidate will own and drive enhancement of our financial crime (anti-money laundering and sanctions) detection models. This role will own transaction monitoring, sanctions screening, and customer risk scoring models,ensuring they are data-driven, well-governed, and defensible.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build the modeling and analytics function and take ownership of model documentation, tuning, and partner with engineering for model development.</li>\n<li>Develop and execute the modeling and analytics roadmap supporting the company’s Financial Crimes Compliance program.</li>\n<li>Partner with senior Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks.</li>\n<li>Champion analytical excellence, model governance, and innovation in AML and Sanctions detection approaches.</li>\n<li>Design, implement, and maintain statistical and machine learning models for transaction monitoring, sanctions screening, customer risk scoring, and alert optimization.</li>\n<li>Ensure models and rules have appropriate documentation in line with Mercury’s Model Risk Management framework, draft new documentation for existing models as needed.</li>\n<li>Evaluate and tune existing detection models and rules to reduce false positives while maintaining regulatory rigor.</li>\n<li>Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends.</li>\n<li>Partner with Model Risk Management to support validation and performance monitoring of models to ensure compliance with internal and regulatory standards.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5-8 years of experience leading modelling and analytics functions for financial crimes compliance.</li>\n<li>Ability to build and scale the function, including hiring, establishing norms, and delivering excellence along the roadmap.</li>\n<li>Establish regular reporting for modelling and analytics.</li>\n<li>Identify areas of opportunity to increase efficiency and precision of the transaction monitoring and sanctions screening program.</li>\n<li>Highlight and escalate deficiencies in the program and develop a solutions-oriented approach for executive leadership.</li>\n<li>Have the technical writing skills to translate code into plain English and vice versa.</li>\n</ul>\n<p><strong>Total Rewards Package:</strong></p>\n<ul>\n<li>Base salary</li>\n<li>Equity (stock options)</li>\n<li>Benefits</li>\n</ul>\n<p><strong>Salary Range:</strong></p>\n<ul>\n<li>US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $239,000 - 298,800</li>\n<li>US employees outside of the New York City, Los Angeles, Seattle or the San Francisco Bay Area: $215,100 - 268,900</li>\n</ul>\n<p><strong>Diversity &amp; Belonging:</strong></p>\n<ul>\n<li>Mercury values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer.</li>\n<li>All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.</li>\n<li>We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef745c10-dc6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mercury","sameAs":"https://www.mercury.com/","logo":"https://logos.yubhub.co/mercury.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/mercury/jobs/5836114004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$215,100 - 298,800","x-skills-required":["Financial Crimes Compliance","Model Development","Statistical Analysis","Machine Learning","Transaction Monitoring","Sanctions Screening","Customer Risk Scoring"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:45:44.429Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, New York, NY, Portland, OR, or Remote within United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Fintech","skills":"Financial Crimes Compliance, Model Development, Statistical Analysis, Machine Learning, Transaction Monitoring, Sanctions Screening, Customer Risk Scoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":215100,"maxValue":298800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6169e99-a3e"},"title":"Safeguards Analyst, Account Abuse","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators</li>\n<li>Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse</li>\n<li>Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection</li>\n<li>Expand internal account signals with new data sources and behavioural indicators to improve detection coverage</li>\n<li>Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness</li>\n<li>Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume</li>\n<li>Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve</li>\n<li>Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners</li>\n<li>Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes</li>\n<li>Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows</li>\n<li>Maintain detailed documentation of signal development, enforcement processes, and operational decisions</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement</li>\n<li>Hands-on experience building detection systems, risk models, or enforcement processes and workflows</li>\n<li>Experience evaluating and integrating third-party data sources into detection or scoring pipelines</li>\n<li>Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships</li>\n<li>Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications</li>\n<li>Demonstrated ability to analyze complex data problems and translate findings into actionable improvements</li>\n<li>Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations</li>\n<li>Equivalent practical experience or a Bachelor&#39;s degree in Computer Science, Data Science, or related field</li>\n</ul>\n<p><strong>You might be a good fit if you:</strong></p>\n<ul>\n<li>Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar</li>\n<li>Are comfortable working with ambiguous, noisy data and extracting meaningful signal</li>\n<li>Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes</li>\n<li>Have experience with graph-based data, account-linking problems, or cross-functional process design</li>\n<li>Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches</li>\n<li>Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows</li>\n<li>Can balance deep analytical work with cross-functional collaboration and stakeholder coordination</li>\n<li>Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b6169e99-a3e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5108841008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230,000 - $310,000USD","x-skills-required":["risk scoring","fraud detection","trust and safety","policy enforcement","SQL","Python","graph-based data infrastructure","identity signals","device fingerprinting","account linking","entity resolution","appeals processes","customer-facing enforcement communications"],"x-skills-preferred":["generative AI tools","cross-functional process design","cybersecurity","threat intelligence"],"datePosted":"2026-03-08T14:00:53.781Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"risk scoring, fraud detection, trust and safety, policy enforcement, SQL, Python, graph-based data infrastructure, identity signals, device fingerprinting, account linking, entity resolution, appeals processes, customer-facing enforcement communications, generative AI tools, cross-functional process design, cybersecurity, threat intelligence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":310000,"unitText":"YEAR"}}}]}