Data Scientist, Risk & Fraud

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 AirwallexAirwallex stands as the premier unified payments and financial platform for global enterprises. With our cutting-edge combination of proprietary infrastructure and innovative software, we empower over 200,000 businesses worldwide—including industry leaders like Brex, Rippling, Navan, Qantas, SHEIN, and many others—to manage everything from business accounts and payments to spend management and treasury solutions, all while facilitating embedded finance on a global scale.Founded in Melbourne, we are proud to have a dynamic team of over 2,000 talented and innovative professionals in technology, spread across 26 offices globally. With a valuation of $8 billion and support from top-tier 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 constructing the future of global payments and financial services. If you are prepared to embark on the most ambitious journey of your career, we invite you to join us.

Join Airwallex as a Staff Data ScientistAt Airwallex, we are revolutionizing the way global businesses manage their payments and finances. Our innovative platform empowers over 200,000 businesses worldwide, including esteemed names like Brex, Rippling, Navan, Qantas, and SHEIN, offering fully integrated solutions for business accounts, payments, spend management, treasury, and embedded finance.Founded in Melbourne, our talented team of over 2,000 professionals operates across 26 offices globally. With a valuation of US$8 billion and backing from top-tier investors like T. Rowe Price, Visa, and Mastercard, we are at the forefront of creating the financial platform of the future. If you're ready to embark on an extraordinary journey in your career, we invite you to join us.

At Lyft, we are driven by our mission to connect people and foster community. We strive to create an inclusive work environment where every team member feels valued and has the opportunity to excel.Lyft Ads, one of our most dynamic and rapidly expanding divisions, is dedicated to developing the world’s premier transportation media network. Our goal is to enable brands to engage with riders at pivotal moments throughout their journey—before, during, and after their rides—by delivering impactful, contextually relevant advertising experiences. We operate at the forefront of mobility data, real-time decision-making systems, and AI-driven personalization, empowering advertisers to execute high-impact campaigns with measurable success.We are currently in search of an Algorithms Scientist to spearhead the development of next-generation algorithms focused on ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will navigate large-scale datasets and intricate real-time systems to design, prototype, and deploy robust machine learning models. Your collaboration with cross-functional teams, including Engineering, Product, Data Science, and Sales, will be instrumental in translating complex business and advertiser needs into effective algorithmic solutions that enhance ad performance, optimize marketplace efficiency, and drive significant revenue growth.This is a high-impact, technically demanding position within a rapidly scaling business unit. The ideal candidate will possess a strong intuition for applied machine learning, extensive hands-on modeling experience, and the capability to write clean, efficient production code. You will play a crucial role in transforming how advertisers connect with Lyft riders, pushing the envelope on personalization, measurement, and real-time optimization in a fast-paced marketplace.

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...

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 Airwallex as a Senior Data Scientist in Algorithms for Financial MarketsAt Airwallex, we are revolutionizing the financial landscape, providing a comprehensive payments and financial platform tailored for global businesses. Our innovative infrastructure and proprietary software empower over 200,000 businesses worldwide, including notable brands like Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions that encompass business accounts, payments, spend management, treasury services, and embedded finance, all on a global scale.Founded in Melbourne, our talented team of over 2,000 innovative professionals operates across 26 offices worldwide. With a valuation of $8 billion and backing from industry-leading investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of building the future of global payments. If you are eager to engage in groundbreaking work and make a significant impact, we invite you to join us.What We Look ForWe seek proactive builders with entrepreneurial spirit who are passionate about contributing to our mission and embody our operating principles. You should possess strong expertise relevant to your role, exhibit sharp analytical thinking, and be driven by curiosity. We value individuals who make informed decisions based on core principles, balancing speed with thoroughness.Collaboration and humility are key traits we admire. You should be capable of transforming innovative ideas into tangible products and possess a strong execution mindset. Leveraging AI to enhance efficiency and solve problems swiftly is essential. Here, you will confront complex, high-visibility challenges alongside exceptional colleagues, advancing your career as we shape the future of banking.About Our TeamOur global team extends across Australia, China, the USA, and Singapore, innovating in applied data science, data engineering, and platform solutions to support Airwallex's rapid growth. You will work closely with a diverse array of cross-functional partners, including Product, Engineering, Marketing, Sales, and Finance, to address intricate data challenges and influence the evolution of fintech.Discover more about our data science team in this blog.

Company: Airbnb, Inc. Role: Senior Data Scientist - Identity and Algorithms Location: United States About Airbnb Since 2007, Airbnb has connected millions of hosts and guests worldwide. With over 5 million hosts and more than 2 billion guest arrivals across nearly every country, Airbnb offers distinctive stays and experiences that help build authentic connections in communities. Building Trust at Scale Trust forms the foundation of Airbnb’s community. The Identity Data Science team works to ensure every user is authentic, supporting Airbnb’s mission to create the most trusted travel platform. This team partners closely with product, engineering, and operations to advance identity verification systems and strengthen defenses against new threats. “Our real innovation is not allowing people to book a home; it’s designing a framework to allow millions of people to trust one another. Trust is the real energy source that drives Airbnb…” - Brian Chesky, Co-Founder & CEO (2019) What You Will Do This senior data science role focuses on improving the safety and well-being of Airbnb’s users through algorithmic and data-driven solutions. The position calls for a "full-stack" data scientist with a broad methodological skillset, ready to lead high-impact projects such as: Raising identity verification standards using biometrics, NFC technology, and integrations with Apple and Google services. Building advanced statistical models to detect identity fraud, including computer vision models for altered images and large language models (LLMs) to evaluate suspicious account features. Automating and improving human-in-the-loop machine learning processes to classify fraud cases and generate training labels. Deploying real-time anomaly detection systems to quickly spot emerging threats across regions and platforms. Designing intelligent sampling strategies to estimate rare event rates and track critical metrics.

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.

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.

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.

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.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.

Join our innovative team at Pinterest as a Senior Data Scientist in the Core division. We're looking for a data-driven professional who is passionate about leveraging data analytics and machine learning to enhance user experience and drive business outcomes. At Pinterest, you will collaborate with cross-functional teams to develop data models and insights that influence strategic decisions.

About Matter IntelligenceMatter Intelligence is at the forefront of Vision AI innovation, developing a groundbreaking sensor capable of interpreting molecular chemistry, temperature, and 3D shapes, all powered by an advanced Large World Model. This revolutionary system not only captures visual data but comprehensively understands the nuances behind each pixel. We call it Superintelligent Vision.Join a remarkable team with a proven track record, having delivered technologies to NASA/JPL for Mars missions, co-founding and building infrastructure for OpenAI, crafting state-of-the-art sensors for U.S. Defense, and developing pivotal algorithms for spectral and 3D imaging. Together, we are laying the groundwork for the next generation of vision and intelligence in our physical world.About the RoleWe are seeking a passionate Junior Geospatial Data Scientist to design and sustain processing pipelines and algorithms that convert our satellite's raw hyperspectral imagery into high-quality scientific data products. This role is not solely research-oriented; you will be responsible for writing production-level code that operates at scale, and a solid understanding of the mathematics and physics behind each pipeline component is essential.In collaboration with experienced remote sensing scientists and software engineers, you will execute radiometric corrections, atmospheric compensation, spectral analysis algorithms, and geospatial data transformations. If you have the ability to derive a reflectance equation on a whiteboard and seamlessly translate it into a clean, tested Python module, this opportunity is perfect for you.

About the Role Grow Therapy is hiring a Senior or Staff Data Scientist in San Francisco. This role focuses on using data to inform key decisions and improve therapy services.

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!

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.