Data Scientist, Risk & Fraud

Join Whatnot as a Data Scientist specializing in Risk & Fraud and leverage your analytical skills to help us combat fraud and mitigate risks in our vibrant online marketplace. You will work collaboratively with cross-functional teams to analyze data, identify trends, and develop strategies that improve our platform's security and user experience.

Join Airwallex as a Senior Data Scientist in Risk & FraudAt Airwallex, we are redefining the future of global payments and finance. As a Senior Data Scientist specializing in algorithms for risk and fraud prevention, you will be an integral part of our innovative team, working to safeguard transactions for over 200,000 businesses worldwide.Your expertise will help us build advanced machine learning models that address the ever-evolving challenges of fraud. You'll collaborate with a team of brilliant minds in a fast-paced environment, leveraging cutting-edge technology to develop solutions that are not just effective but also transformative.Join us in our mission to create a seamless financial experience for businesses globally!

About Owner.comOwner.com is revolutionizing the growth trajectory of local restaurants through advanced AI technology.Our AI solutions are meticulously designed to enhance SEO, marketing strategies, and online ordering processes, ultimately boosting first-party orders. Unlike other companies that burden small business owners with complex software, Owner.com provides a streamlined, expert-driven system that guarantees results.Think of us as your dedicated team of engineers and marketers, empowering independent restaurants to compete with larger chains.Our VisionInitially focused on helping independent restaurants thrive online, our mission extends to all local businesses facing similar challenges.In an era where massive tech corporations threaten local business survival, we are committed to leveling the playing field.Once we perfect our solutions for restaurants, our goal is to expand our services across various local business sectors.We envision a future where millions of local business owners leverage our technology to excel in the digital landscape.Discover our Series C memo here →Our TractionSince our inception in 2020, we have generated tens of millions in revenue and processed over half a billion dollars in online orders. One in five Americans has interacted with an Owner.com website.More significantly, we have supported over 20,000 restaurant owners, saving them close to $200 million in fees.Our TeamOur dynamic team, composed of top talent from renowned companies in the SMB software space, is poised for rapid expansion as we continue to grow alongside our customers.

Join our dynamic team at Gusto as a Senior Data Scientist specializing in risk management. In this pivotal role, you will leverage your expertise in data science to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our risk assessment processes. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the continuous improvement of our risk management strategies.We are looking for an analytical thinker with strong programming skills and a passion for solving challenging problems. If you thrive in a fast-paced environment and are eager to make a significant impact, we would love to hear from you!

About Our TeamThe Intelligence and Investigations team at OpenAI is committed to proactively identifying and mitigating online abuse and strategic risks. Our mission is to foster a safe digital ecosystem by analyzing emerging trends and collaborating with internal and external partners to implement effective measures against misuse. Through our initiatives, we contribute to OpenAI's goal of creating AI technologies that enhance human well-being.The Strategic Intelligence & Analysis (SIA) team specializes in providing safety intelligence for OpenAI’s products. By monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats, we guide safety measures, product strategies, and partnerships. Our work ensures that OpenAI’s tools are utilized securely and responsibly in essential sectors.About the RoleAs a Data Scientist, you will spearhead econometric and experimental analyses to comprehend risk dynamics within complex human–AI systems. Your focus will be on quantifying the magnitude and implications of risk fluctuations in a fast-paced, evolving environment. You will design experimental and observational studies to uncover causal factors and assess risk changes across diverse surfaces and sources. Your insights will directly influence strategic risk management and prioritization across the organization.This position is based in San Francisco, CA (hybrid, 3 days/week) with relocation assistance available.Key Responsibilities:Design and execute experimental and observational analyses to evaluate strategic risks.Develop econometric models to assess the impact of product, policy, and external factors on critical risk vectors.Translate strategic risk inquiries into testable hypotheses and robust study frameworks.Implement A/B tests and pseudo-experimental studies to measure risk changes and uncover underlying mechanisms.Identify, test, and clarify product-driven, event-driven, or signal-driven risk variations.Establish baselines and statistical confidence around core metrics to define the scale of risks.Collaborate across teams to monitor strategic risks, pinpoint intervention opportunities, and assess the effectiveness of those interventions.

About Our TeamThe Account & Platform Integrity team at OpenAI is dedicated to maintaining the integrity of our ecosystem by combating fraud, impersonation, abuse, and various account-level threats. Our mission is to verify that individuals and organizations engaging with OpenAI are legitimate, ensuring appropriate access and preventing misuse of the platform.Collaborating closely with Product, Engineering, Legal, Go-To-Market, and Support teams, we work at the critical intersection of identity verification, compliance, and abuse prevention. Our proactive measures safeguard user trust, protect revenue, and ensure the safety of our platforms, including ChatGPT, the API, and enterprise solutions.About the RoleWe are seeking a detail-oriented Fraud & Risk Analyst to enhance OpenAI’s security measures by investigating, validating, and monitoring customer accounts and organizations. Your focus will be on identity verification, legitimacy assessment, and risk management, ensuring accounts are accurately verified and emerging threats are swiftly identified.In this pivotal role, you will conduct sensitive investigations involving fraud, impersonation, sanctions, misuse of access, and coordinated abuse. Your contributions will play a crucial role in determining who can utilize OpenAI’s products and ensuring our ability to scale safely.Please note: This position may involve reviewing sensitive or confidential content.This position follows a hybrid work model, requiring 3 days in our San Francisco office each week.Key ResponsibilitiesConduct thorough reviews and verifications of customer identities, organizations, and ownership structures.Investigate accounts flagged as suspicious or high-risk, including cases of fraud, impersonation, shell companies, and abuse of API or ChatGPT access.Analyze documents, internal data, and third-party resources to assess legitimacy and risk levels.Implement account-level actions such as approvals, restrictions, suspensions, or escalations as needed.Act as the primary case owner for complex, high-visibility verification and integrity-related cases.Collaborate with Legal, Compliance, Sales, and Support teams to resolve issues efficiently and accurately.Manage escalations, appeals, and sensitive communications with customers.Assist in designing and enhancing verification processes, fraud detection mechanisms, and risk-scoring systems.Contribute to the development of automation, tooling, and technology improvements to bolster risk management.

About AirwallexAirwallex is a revolutionary payments and financial platform designed specifically for global businesses. With our innovative blend of proprietary infrastructure and software, we empower over 200,000 businesses across the globe—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—with comprehensive solutions to manage everything from business accounts and payments to spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, our diverse team of more than 2,000 talented individuals spans 26 offices worldwide. With a valuation of US$8 billion and support from esteemed investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of shaping the future of global payments and finance. If you're eager to embark on an ambitious career journey, we invite you to join us.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Through our innovative blend of proprietary infrastructure and cutting-edge software, we empower over 200,000 businesses worldwide—including notable names like Brex, Rippling, Navan, Qantas, and SHEIN—with comprehensive solutions for managing business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, our dynamic team comprises over 2,000 of the industry's brightest minds across 26 offices worldwide. With a valuation of US$8 billion, and support from leading investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, Airwallex is at the forefront of developing the global payments and financial infrastructure of the future. If you are ready to undertake the most ambitious work of your career, we invite you to join our mission.Attributes We ValueWe seek successful builders with a founder-like spirit who aspire to create genuine impact, experience accelerated learning, and take true ownership of their work. You will bring strong expertise, analytical thinking, and a deep-rooted motivation aligned with our mission and operating principles. You act swiftly with sound judgment, explore with curiosity, and make decisions based on foundational principles, effectively balancing speed and thoroughness.You are humble and collaborative, transforming innovative ideas into tangible products and driving projects from inception to completion. Leveraging AI to optimize your work process and solve challenges efficiently is second nature to you. Here, you will tackle complex, high-visibility issues alongside exceptional colleagues while advancing your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.About the TeamThe Legal, Risk & Compliance (LRC) team at Airwallex is a synergistic group of legal professionals and risk management specialists dedicated to protecting the integrity of Airwallex’s operations. We foster a culture of compliance and integrity, ensuring we navigate the global financial landscape responsibly. Our team provides expert guidance and proactive support across all business areas, identifying, mitigating, and managing legal and financial risks to facilitate sustainable growth.What You'll DoAs the Senior Manager, Fraud Risk, you will act as a subject matter expert in fraud risk management within the Second Line of Defense risk team, reporting directly to the Director of Fraud Risk. Your role will encompass...

Join Lyft as a Senior Data Scientist specializing in Risk Analysis, where you will leverage advanced analytics and machine learning to drive decision-making processes. Collaborate with cross-functional teams to develop innovative risk assessment models that enhance our service offerings and ensure safety for our users. Your expertise will play a crucial role in shaping our data-driven strategies.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the way individuals engage with personal finance through innovative, mobile-first technology. As a next-generation financial services company and national bank, we are committed to helping our millions of members achieve their financial goals. With a rapidly evolving industry, we are proud to be at the forefront of this transformation. Our core values drive us to make a meaningful impact on people’s lives every day. Invest in yourself, your career, and the financial world by joining our team!The Role:The Risk Data Science team is on the lookout for a strategic and technically proficient Machine Learning Engineer to spearhead the advancement of SoFi’s Home Loan and Home Equity risk frameworks. This pivotal role is part of a high-priority initiative aimed at delivering a comprehensive, loan-level credit risk and valuation framework for our home lending portfolios.As a key technical leader, you will harness cutting-edge ML methodologies to tackle complex challenges, including default and prepayment modeling, property valuation (AVMs), and credit risk assessment, ensuring our valuable secured loan products are underpinned by top-tier data science.Your Responsibilities:Lead the development and implementation of ML models tailored for mortgage-specific applications, such as credit underwriting, debt-to-income (DTI) validation, and automated appraisal reviews.Oversee the technical evaluation and comprehensive ownership of externally developed models, ensuring adherence to stringent internal standards for quality, performance, and scalability.Communicate model performance and portfolio insights to senior leadership, translating intricate data into actionable credit and business strategies.Collaborate with Model Risk Management (MRM) and governance teams to guarantee that all models are developed with the technical rigor necessary to meet complex regulatory and compliance requirements.Work alongside Product and Engineering teams to operationalize models, overseeing their deployment, real-time monitoring, and seamless integration into core business systems.Continuously explore and utilize in-house, external, and open-source ML frameworks to create the next generation of proprietary mortgage risk tools.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are on a mission to ignite human curiosity. Our products—Everand, Scribd, Slideshare, and Fable—foster a world filled with stories and knowledge, democratizing the flow of ideas and empowering collective expertise.We are committed to maintaining a culture where our employees can be authentic and courageous; where we engage in constructive debates and remain committed to our decisions as we navigate the twists and turns of our journey. Every member of our team is encouraged to take initiative as we place our customers at the forefront of everything we do.At Scribd, we believe in striking a balance between personal flexibility and community engagement. Through our flexible work initiative, Scribd Flex, employees, in collaboration with their managers, can choose a work style that best meets their individual needs. This initiative emphasizes intentional in-person interactions to foster collaboration, culture, and connection, necessitating occasional attendance in the office for all Scribd employees, irrespective of their work location.What do we seek in our new team members? We hire for “GRIT.” This concept embodies the fusion of passion and perseverance towards long-term objectives. At Scribd, we recognize the potential that GRIT can unlock, and we expect our employees to embrace a GRIT-driven approach to their work. In practical terms, GRIT stands for the ability to set and achieve Goals, deliver Results, contribute Innovative ideas, and positively impact the broader Team through collaboration and a constructive attitude.About the Role and Team:The Risk Operations team is pivotal in safeguarding the business by managing payments and fraud risks, aimed at reducing costs while enhancing overall customer and business value. As a Risk Operations Analyst II, Payments & Fraud, you will play an essential role in cultivating a world-class, cross-functional payments team. Your responsibilities will extend beyond reactive risk management to proactive strategies that enhance business outcomes. This position will entail collaborating with various teams to foster clarity and integrate risk considerations into the growth and scaling strategies of Scribd.

About MiddeskMiddesk is revolutionizing the way businesses collaborate by simplifying identity verification. Since our establishment in 2018, we have replaced cumbersome manual processes with instant access to reliable and current data. Our innovative platform empowers companies across various sectors to efficiently verify business identities, accelerate customer onboarding, and mitigate risks throughout the customer lifecycle.Originating from Y Combinator and supported by prestigious investors like Sequoia Capital and Accel Partners, Middesk proudly earned a spot on Forbes' Fintech 50 List.The RoleJoin us in creating AI-enhanced applications that streamline customer workflows, beginning with business onboarding. Armed with our unique identity data and extensive domain knowledge, we are poised to grow into a wider array of intelligent, risk-aware products.We seek a proactive engineer to establish the groundwork for these systems. This role focuses less on inventing new machine learning algorithms and more on effectively applying established techniques to complex, real-world challenges. If you have experience in fraud, risk, or trust domains, and possess insights into how malicious actors operate, how data can be flawed, and how to deliver dependable systems, we want to hear from you.This is a highly technical, hands-on position that significantly influences the design, construction, and scaling of data-centric systems at Middesk.

About GoodLeap:GoodLeap is at the forefront of technology, providing innovative financing and software solutions that promote sustainability. Our offerings range from solar panels and batteries to energy-efficient HVAC systems, heat pumps, roofing, and windows. With the help of our user-friendly and efficient technology, over 1 million homeowners have embraced sustainable solutions, making them more affordable and accessible. Our cutting-edge, AI-driven applications and developer tools empower thousands of professionals deploying home efficiency and solar solutions, enhancing customer communication, business intelligence, and operational efficiency. Since 2018, our platform has facilitated over $30 billion in financing for sustainable initiatives.In addition to our commercial endeavors, we proudly support GivePower, our award-winning nonprofit organization, which is dedicated to creating and implementing life-saving water and clean electricity systems, positively impacting the lives of more than 1.6 million individuals across Africa, Asia, and South America.We are seeking a dynamic Principal Product Manager to lead our fraud and risk management efforts within our consumer products division. This pivotal individual contributor role will be responsible for designing and implementing systems, controls, and decision-making processes that safeguard our credit products, consumer payments, and homeowner experiences while ensuring a seamless and high-conversion user journey.As the Principal Product Manager, you will take ownership of the strategy and execution of key fraud and risk domains. You will navigate complex challenges, align stakeholders around effective signals and defenses, and drive initiatives that significantly diminish losses. Your role demands a deep technical understanding and a hands-on approach, positioning you as the go-to expert in fraud vectors, risk modeling, and regulatory compliance.The ideal candidate will possess systems-level thinking and the ability to work autonomously in a dynamic fintech environment, demonstrating a proactive approach to problem-solving.

Become a Pioneer in the Future of Commerce with Whatnot!Whatnot stands as the largest live shopping platform across North America and Europe, where you can buy, sell, and explore the products you cherish. We are revolutionizing e-commerce by merging community, shopping, and entertainment into a unique experience tailored just for you. As a remote co-located team, we are fueled by innovation and grounded in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Our live auctions offer a diverse array of items, from fashion and electronics to collectibles like trading cards and comic books. And we're only just beginning! As one of the fastest growing marketplaces, we are on the lookout for dynamic, innovative problem solvers in all functional areas. Stay updated with Whatnot’s latest news on our blog and engineering insights. Join us in empowering individuals to transform their passions into thriving businesses, fostering connections through commerce. Role OverviewTo sustain our rapid growth, it is crucial that Whatnot maintains a secure and trustworthy environment for our community to interact and conduct transactions. We are seeking a skilled Data Scientist specializing in fraud detection and risk management to proactively identify and mitigate these threats. In this role, you will: Generate Insights & Shape Strategic DirectionConvert complex data sets into actionable insights for the Fraud engineering and operations teams.Establish and manage key performance indicators (KPIs) to assess the financial impact of fraud and the effectiveness of prevention strategies.Evaluate existing fraud detection methods and collaborate with product and machine learning engineers to enhance anti-fraud initiatives. Drive Experimentation & Impact MeasurementCollaborate with product managers, engineers, and operational teams to architect, execute, and assess feature rollouts aimed at countering fraudulent activities on the platform.Define and maintain the experimentation framework for Fraud at Whatnot.Create methodologies for causal inference and impact assessment of initiatives that do not align with A/B testing.

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

Join Our Innovative TeamAt OpenAI, our Applied team is dedicated to responsibly delivering cutting-edge technology to the world. We have launched transformative tools like ChatGPT, DALL·E, and APIs for GPT-4 and GPT-3, alongside managing large-scale inference infrastructure. As we continue to innovate, we are committed to ensuring our powerful tools are utilized ethically and safely.The Scaled Abuse team operates within our Applied Engineering organization, tackling fraudulent activities on our platform. We are seeking a passionate Data Scientist with expertise in anti-fraud and abuse measures to spearhead the design and development of our next-gen anti-abuse systems.Your RoleAs a Data Scientist on the Platform Abuse team, you will play a pivotal role in safeguarding OpenAI’s products from exploitation. Your responsibilities will include identifying and addressing emerging misuse patterns and enhancing our detection methods. This is an exciting opportunity, as we anticipate that many future abuse strategies have yet to be conceived.Primary Responsibilities:Develop and implement systems for fraud detection and resolution, ensuring a balance between fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent activity on our platform.Keep updated with the latest tools and techniques to stay ahead of sophisticated adversaries.Leverage advanced models such as GPT-5 to enhance our fraud and abuse countermeasures.Ideal Candidate:Experience working within a highly technical trust and safety team, or closely with policy, content moderation, or security teams.Proficiency in programming languages (Python preferred) for exploratory data analysis and deriving actionable insights.Demonstrated ability to propose, design, and conduct rigorous experiments (A/B tests, quasi-experimental designs, etc.) to validate findings.

About FaireFaire is a revolutionary technology-driven wholesale platform that champions the local movement. We believe in empowering independent retailers around the globe, representing a vast and historically fragmented wholesale market. At Faire, we leverage cutting-edge technology, data, and machine learning to connect a vibrant community of entrepreneurs. Our mission is to help local boutiques discover exceptional products from around the world, enabling them to thrive and contribute to their communities. Join us in driving the shop local movement and be part of a community that values connection and growth.About this roleWe are searching for a seasoned Fraud Strategy Lead to define and implement strategies that safeguard the integrity of our diverse community of brands and retailers. In this pivotal role, you will oversee the comprehensive management of strategic fraud initiatives, translating company objectives into team priorities, and serving as a domain expert within the organization.As a senior member of the Risk organization’s Fraud & Abuse team, you will collaborate closely with leaders in Data Science, Engineering, Product, Legal, and Customer Experience to enhance fraud capabilities and develop data-driven strategies that allow Faire to innovate while ensuring customer safety. Your focus will be on strategic initiatives while also mentoring team members and enhancing overall team performance.This role is perfect for a professional eager to establish themselves as a recognized subject matter expert in fraud and risk, drive significant changes in systems and policies, and influence Faire's approach to fraud strategy.What you’ll doLead the end-to-end management of strategic fraud and abuse initiatives, transforming company goals into actionable plans that enhance Faire’s fraud capabilities.Drive improvements in processes and systems within the Fraud & Abuse function, achieving measurable business and customer outcomes while autonomously addressing ambiguous challenges.Act as a go-to expert for complex fraud investigations and escalations across the organization.Collaborate with Data Science, Engineering, and Product teams to evolve fraud tools, models, and features, utilizing data-driven insights to identify opportunities and support proposals.Create clear and effective documentation for strategic projects and initiatives; navigate internal processes to ensure successful implementation.

Join Cardless Inc. as a Fraud Strategy Manager or Senior Manager specializing in Transaction Fraud. In this pivotal role, you will lead the development and implementation of innovative fraud prevention strategies to safeguard our customers and minimize risk. You will work closely with cross-functional teams to analyze data trends and enhance our fraud detection capabilities.Your expertise will drive initiatives that not only protect our assets but also enhance customer trust in our services. If you are passionate about leveraging data to combat fraud and are ready to take on a leadership role in a dynamic environment, we want to hear from you!

SentiLink is at the forefront of revolutionizing identity verification and risk solutions, enabling organizations and individuals to conduct transactions with utmost confidence. Our mission is to redefine the identity verification landscape in the United States by delivering solutions that outpace traditional methods in speed, intelligence, and accuracy.With significant growth momentum, SentiLink's real-time APIs have successfully validated hundreds of millions of identities, initially within financial services and rapidly branching into diverse sectors. We are proudly supported by esteemed investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our innovative approach has garnered accolades from industry leaders and media outlets, including TechCrunch, CNBC, Bloomberg, Forbes, and Business Insider. Notably, we have consistently secured a spot on the Forbes Fintech 50 list since 2023. We also made history by being the first company to launch the eCBSV and by presenting our insights to the United States House of Representatives regarding the future of identity.SentiLink embraces various work arrangements, from fully remote to on-site options. As a digital-first organization, we foster robust collaboration across teams in the U.S. and India, with physical offices located in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram and Bengaluru in India. For those near our offices, we encourage regular in-office engagement, although some roles are intentionally hybrid or office-based, exemplified by our engineering team in India who primarily operates from our Gurugram office.

About Extend:Extend is transforming the post-purchase experience for retailers and their customers by delivering AI-powered solutions that enhance customer satisfaction and drive revenue growth. Our all-inclusive platform provides automated customer service, seamless returns and exchange management, comprehensive automated fulfillment, and product and shipping protection, alongside Extend's state-of-the-art fraud detection. By merging cutting-edge technology with outstanding customer service, Extend enables businesses to cultivate trust and loyalty among consumers while minimizing costs and maximizing profits.With over 1,000 leading merchant partners in various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, and sports and fitness, Extend is backed by renowned technology investors. Our headquarters is located in the heart of San Francisco.About The RoleThe Fraud Intelligence team is pivotal to Extend’s post-purchase protection platform. We create innovative analytics engines that leverage signals and transactions from millions of users to identify and prevent fraud, foster smarter decisions, and unlock business value.We thrive on discovering insightful patterns in complex data to thwart fraud effectively. In this role, you will have the chance to develop new fraud prevention product features and analytics capabilities from the ground up, collaborating cross-functionally to devise go-to-market strategies based on your analyses.If you are passionate about data, driven by impact, and eager to solve intricate challenges in the realm of analytics and fraud prevention, you will excel in our team. This is a high-ownership role where your contributions will directly safeguard retailers, enhance customer trust, and boost the company’s financial performance!What You’ll Be DoingAnalyze large-scale behavioral, transactional, and interaction data to identify signals indicative of fraud and abuse.Utilize your strong business acumen to quickly pinpoint actionable insights, analyze fraud patterns, and validate hypotheses.Influence business cases and pricing strategies, contributing to proof-of-concept initiatives with prospective merchants.Respond promptly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.Work closely with leadership, go-to-market, fraud operations, product, and engineering teams to implement strategies effectively.