Security Risk Lead

Why Collaborate with Stand: Join us at Stand Insurance, where you will contribute to a revolutionary approach to global property protection. With the integration of cutting-edge physics and artificial intelligence, we meticulously assess catastrophic risks at the asset level, streamlining underwriting and loss mitigation processes. Our innovative risk engine is the true product we offer, redefining traditional insurance paradigms.At Stand, we step in when conventional insurers withdraw. We create precise models where others merely estimate. Our systems are designed to drive substantial outcomes rather than merely adjusting prices.Our Vision: The property insurance landscape has historically focused on pricing losses post-event, relying on outdated proxies and reactive strategies. At Stand, we break this mold by simulating real-world catastrophes' impacts on individual properties, translating these insights into actionable strategies, and automating our operations. This leads to a platform capable of underwriting risks that others cannot, all while minimizing friction.Your Role: As the Physics Team Lead within our Applied Science team, you will spearhead the development of foundational physics-based simulation capabilities, particularly in relation to wildfire and future risks. This role encompasses technical leadership and team management, evolving as our team expands.Your expertise in physics-based simulation will be pivotal in transforming traditionally high-cost engineering workflows into scalable, validated systems ready for production. These systems will significantly influence risk decisions and yield substantial business impacts.You will be responsible for the development and practical application of our core physics-based risk analytics programs. This includes ensuring that simulations are cohesive across different scales, informing probabilistic risk models, and integrating AI-driven techniques to achieve real-world results.This position is perfect for individuals who excel in dynamic environments, create order from uncertainty, take ownership of outcomes, collaborate across various disciplines, and are motivated by the challenge of building innovative solutions from the ground up.Your Responsibilities:Lead intricate, cross-disciplinary technical initiatives, coordinating efforts across data pipelines, backend orchestration, frontend visualization, and collaboration with subject matter experts, numerical simulation specialists, and machine learning engineers.Serve as the functional technical lead within the Applied Science team, harmonizing tasks across various scales and perils while establishing modeling standards and validation methodologies.Oversee major features within the physics simulation roadmap, including solver development, model calibration, and validation processes.

Earnest is dedicated to empowering ambitious individuals to make informed financial decisions and create the lives they aspire to lead.Our team, known as Earnies, is passionate about providing borrowers with smarter borrowing solutions that offer a clearer path toward financial empowerment. If you share our enthusiasm for this mission, we invite you to explore the details below and join us in building something exceptional.The Senior Model Risk Manager will report directly to the Head of Credit Risk.In this role, you will:Take ownership of and enhance Earnest’s Model Risk Management framework, ensuring that our credit, loss forecasting, fraud, marketing, and finance models are robust, transparent, and scalable.Conduct independent end-to-end model validations, from conceptual soundness and data quality to performance monitoring and implementation review, providing constructive feedback to modeling teams.Collaborate closely with Data Science and Risk leaders early in the model design process to refine assumptions, enhance methodologies, and uplift modeling standards throughout the organization.Supervise model performance monitoring and proactively identify emerging risks, performance drift, or control deficiencies, ensuring timely and effective remediation.Produce clear, decision-ready validation reports and effectively communicate technical findings to drive impactful business outcomes and sound risk management decisions.Act as a trusted advisor on model governance, enabling Earnest to operate swiftly while maintaining the necessary discipline and controls of a leading lending platform.

Zyphra is a cutting-edge artificial intelligence firm headquartered in the vibrant city of San Francisco, California.Position Overview:As a Research Scientist specializing in Model Architectures, you will play a pivotal role in Zyphra’s AI Architecture Research Team. Your responsibilities will include the design and thorough evaluation of innovative model architectures and training methodologies aimed at enhancing essential modeling capabilities (e.g., loss per flop or loss per parameter) and tackling core limitations inherent in current models. You will collaborate closely with our pre-training team to ensure that your findings are seamlessly integrated into our next-generation models.Qualifications:A strong research acumen and intuition.Proven ability to navigate research projects from initial conception to execution and final write-up.Exceptional implementation and prototyping skills, with the capability to swiftly transform ideas into experimental outcomes.A collaborative spirit and the ability to thrive in a fast-paced research environment.A deep curiosity and enthusiasm for understanding intelligence.Requirements:Experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative credit assignment strategies.Knowledge of reinforcement learning, control theory, and signal processing techniques.A passion for exploring and critically evaluating unconventional ideas, with the ability to maintain a unique perspective.Familiarity with modern training pipelines and the hardware necessities for designing efficient architectures compatible with GPU hardware.Strong understanding of experimental methodologies for conducting rigorous ablations and hypothesis testing.High proficiency in PyTorch and Python programming.Ability to quickly assimilate into large pre-existing codebases and contribute effectively.Prior publication of machine learning research in reputable venues.Postgraduate degree in a scientific discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We emphasize a structured research methodology that systematically addresses ambitious challenges in AI.

About World Labs: At World Labs, we create foundational world models capable of perceiving, generating, reasoning, and interacting with the 3D environment. Our mission is to unlock the full potential of AI through spatial intelligence, transforming perception into action, reasoning into insight, and imagination into creation. We believe that spatial intelligence will revolutionize storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical realms. Our world-class team is driven by curiosity and passion, boasting diverse backgrounds in technology, from AI research and systems engineering to product design. This synergy fosters a tight feedback loop between our cutting-edge research and user-empowering products. Role Overview We are seeking an innovative Research Scientist specializing in generative modeling, especially diffusion models, to join our modeling team. This position is ideal for individuals with extensive expertise in applying diffusion models to images, videos, or 3D assets and scenes. While not mandatory, experience in any of the following areas will be considered a significant advantage: Large-scale model trainingResearch in 3D computer vision In this role, you will work closely with researchers, engineers, and product teams to translate advanced 3D modeling and machine learning techniques into practical applications, ensuring our technology stays at the forefront of visual innovation. This position entails substantial hands-on research and engineering work, taking projects from conception to production deployment. Key Responsibilities Design, implement, and train large-scale diffusion models for generating 3D worlds. Develop and experiment with large-scale diffusion models to introduce novel control signals, align with target aesthetic preferences, or optimize for efficient inference. Collaborate closely with research and product teams to comprehend and translate product requirements into actionable technical roadmaps. Contribute actively to all phases of model development, including data curation, experimentation, evaluation, and deployment. Continuously investigate and integrate the latest research in diffusion and generative AI. Serve as a key technical resource within the team, mentoring peers and promoting best practices in generative modeling and machine learning engineering.

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 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.

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.

At Genmo, we are pioneering advancements in video generation technology through our state-of-the-art research lab. Our mission is to develop open models that contribute to the evolution of Artificial General Intelligence (AGI). Join us as we redefine the capabilities of AI and explore the vast potential of video generation.Role Overview:We are on the lookout for an outstanding Research Scientist specializing in diffusion models to be a part of our innovative team. Your primary focus will be on creating advanced diffusion models aimed at transforming text into captivating video content. This role places you at the cutting edge of AI research, where you will devise new architectures and algorithms to generate visually appealing and coherent videos from textual descriptions.

Join Anthropic as a Senior Research Scientist on our Reward Models team, where you will spearhead groundbreaking research aimed at enhancing our understanding of human preferences at scale. Your innovative contributions will directly influence how our AI models, including Claude, align with human values and optimize for user needs. You will delve into the forefront of reward modeling for large language models, designing novel architectures and training methodologies for Reinforcement Learning from Human Feedback (RLHF). Your research will explore advanced evaluation techniques, including rubric-based grading, and tackle challenges such as reward hacking. Collaboration is key, as you'll work alongside teams in Finetuning, Alignment Science, and our broader research organization to ensure your findings result in tangible advancements in AI capabilities and safety. This role offers you an opportunity to address critical AI alignment challenges, leveraging cutting-edge models and substantial computational resources to further the science of safe and capable AI systems.

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.

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!

Join Scale AI as a Research Scientist — Frontier Risk EvaluationsAt Scale AI, we are at the forefront of data and evaluation services for pioneering AI technologies. Our mission is to ensure the safe and effective deployment of AI systems by bridging the gap between advanced AI research and global policy frameworks. With the launch of Scale Labs, we are assembling a dedicated team focused on policy research to empower governments and industry leaders with scientific insights regarding AI risks and functionalities.This team addresses complex challenges in agent robustness, AI control mechanisms, and risk assessments to facilitate a comprehensive understanding of AI risks, while promoting its responsible adoption across various sectors. We are eager to welcome skilled researchers who are passionate about shaping the future of AI.As a Research Scientist specializing in Frontier Risk Evaluations, you will be responsible for designing evaluation metrics, harnesses, and datasets to assess the risks associated with cutting-edge AI systems. Your role may involve:Developing harnesses to evaluate AI models for potential security vulnerabilities and other high-risk behaviors.Collaborating with government entities and research labs to design evaluations that mitigate risks posed by advanced AI technologies.Publishing evaluation methodologies and drafting technical reports aimed at informing policymakers.

Join Grow Therapy as a Security Risk Program Lead where you will play a pivotal role in enhancing our security protocols and risk management strategies. We are seeking a passionate leader who is committed to safeguarding our operations and ensuring compliance with industry standards.You will oversee the development and implementation of security risk programs, identify potential threats, and collaborate with cross-functional teams to mitigate risks effectively. If you are driven by a desire to create a secure environment for our team and clients, we would love to hear from you!

Who Are We?Postman is the premier API platform, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. We are dedicated to fostering an API-first world by simplifying the entire API lifecycle and enhancing collaboration, enabling users to create superior APIs swiftly.Headquartered in San Francisco, we have offices in major cities like Boston, New York, Austin, Tokyo, London, and Bangalore, where our journey began. As a privately held entity, we have garnered support from notable investors including Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or connect with us on X via @getpostman.P.S: We highly recommend exploring The "API-First World" graphic novel to gain insights into our vision at Postman.The OpportunityAs an Applied Scientist focusing on Small Language Models and AI Training, you will spearhead research and development initiatives aimed at crafting efficient, high-performance language models for real-world applications. Collaborating closely with research, engineering, and product teams, you will enhance model training techniques, optimize architectures, and scale AI solutions. Your contributions will play a crucial role in creating AI systems that are safe, interpretable, and impactful across various applications.

Our MissionAt Altos Labs, we are dedicated to restoring cell health and resilience through innovative cell rejuvenation techniques aimed at reversing diseases, injuries, and disabilities that can arise throughout life.For further insights, please visit our website at altoslabs.com.Our ValueOur singular Altos Value is: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe firmly believe that diverse perspectives are crucial for scientific innovation. At Altos, exceptional scientists and industry leaders collaborate globally to further our shared mission. We prioritize Belonging, ensuring all employees feel valued for their unique perspectives, and we hold ourselves accountable for maintaining a diverse and inclusive environment.Your Contributions to AltosAs a member of our team, you will accelerate and enhance our efforts in developing unified, multi-modal generative foundation models tailored for multiscale biology. You will be a key player in multidisciplinary teams that create the computational platforms essential for Altos to fulfill its mission.In this position, you will collaborate with other scientists and engineers across the Institute of Computation to design, develop, and scale cutting-edge foundation models that address biological inquiries and assist in discovering novel interventions for aging and disease. Your focus will be on synthesizing unstructured multimodal signals with structured relational data and knowledge graphs that depict biological realities.The ideal candidate will excel in a dynamic environment that values teamwork, transparency, scientific excellence, originality, and integrity.

Join our dynamic Analytics team at DoorDash, where we are seeking an innovative Senior Lead Data Scientist to spearhead the exploration and interpretation of complex data sets. This pivotal role will help shape our global platform expansion strategies, driving informed decisions across all facets of our organization.About the TeamThe Analytics team is dedicated to leveraging advanced analytical methodologies to inform strategic initiatives and operational decisions. As a Senior Lead Data Scientist, you will play a crucial role in transforming insights into actionable strategies that contribute to DoorDash’s success.About the RoleIn this role, you will delve into intricate data analyses to tackle significant business challenges, devise and implement experiments based on your findings, and collaborate with cross-functional teams to enact meaningful operational changes. Your expertise will be crucial in enhancing our marketplace efficiencies, optimizing customer acquisition, and addressing fraud prevention among other exciting challenges.If you thrive on identifying patterns in data chaos, possess a passion for building impactful market strategies from the ground up, and have a proven track record of employing analytics to drive revenue and operational growth, we want to hear from you!Your ImpactLead and mentor a team of Data Scientists in uncovering vital business insights while also contributing as an individual expert.Shape the Product and Operations roadmap with data-driven recommendations.Engage with senior leadership to present your team's findings and address complex business challenges.Establish measurement strategies for your area, defining key performance indicators and best practices in experimental design and statistical analysis.Craft a strategic learning roadmap informed by data insights, key questions, and hypotheses.QualificationsA Master’s or Ph.D. in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field.8+ years of experience in Data Science, with a focus on product analytics and operational strategies.Proficiency in statistical tools and programming languages such as Python, R, or SQL.Strong analytical mindset with a demonstrated ability to solve complex problems using data.Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.

Join Our Dynamic TeamAt OpenAI, the Strategic Finance team plays a pivotal role in driving substantial investment initiatives. We are dedicated to enhancing OpenAI's long-term success by collaborating across departments to strategically allocate resources for maximum impact. Our team works closely with Finance, Product, Engineering, and Go-To-Market divisions to provide critical insights and support strategic decisions that shape the future of our company.Your Role and ResponsibilitiesAs a key member of the Strategic Finance Data Science team, you will be instrumental in designing, developing, and managing essential models, reporting systems, and analytical frameworks. Collaborating with Finance leadership and interdisciplinary teams, you will leverage your expertise in predictive modeling and causal inference to deliver actionable insights that inform high-stakes decision-making.This position is based at our San Francisco headquarters, adopting a hybrid work model with three days in the office each week. We also offer relocation assistance to new hires.Your Key Contributions Will Include:Deeply understanding OpenAI’s data architecture and collaborating with Data Engineering and Finance teams to extract valuable insights.Developing and scaling causal inference models to evaluate the effects of various strategies on user growth and financial performance.Creating customer segmentation strategies to drive targeted growth initiatives and enhance customer lifetime value.Automating reporting and analyses through innovative data products and agentic solutions.Conducting ad hoc analyses to support product pricing and other key business decisions.Designing and presenting dashboards that empower leadership to monitor key performance indicators and make informed decisions.Leading cross-functional data science projects from inception to completion, ensuring timely and impactful delivery.Ideal Candidate Profile:Master's or PhD in a quantitative discipline, with a minimum of 7 years of experience in a data-centric role, preferably in a fast-paced, high-growth environment.Proficient in Python, SQL, Tableau, and other analytical tools.Strong analytical prowess with experience in managing and interpreting large, intricate datasets.Proven ability to translate complex data into clear, actionable insights.

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 AirwallexAirwallex is a pioneering unified payments and financial platform designed for global enterprises. Leveraging our proprietary infrastructure and advanced software, we empower over 200,000 businesses worldwide—including notable names like Brex, Rippling, Navan, Qantas, and SHEIN—with fully integrated solutions for managing business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we pride ourselves on our diverse team of over 2,000 innovative tech professionals across 26 global offices. Valued at $8 billion and backed by 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 developing the future of global payments and financial services. If you're eager to take on the most ambitious project of your career, we invite you to join us.Attributes We ValueWe seek builders with entrepreneurial spirit who are driven by impactful work, rapid learning, and true ownership. You should possess strong, relevant expertise, sharp analytical skills, and a passion for our mission and operating principles. You act decisively, think critically, and make informed choices based on first principles, striking a balance between speed and thoroughness.Humility and collaboration are key; you transform innovative concepts into tangible products and ensure the completion of tasks from start to finish. You leverage AI to enhance efficiency and expedite problem-solving. Here, you will engage with intricate, high-stakes challenges alongside exceptional colleagues while advancing your career as we shape the future of global banking. If this resonates with you, let's innovate together.About the TeamThe Risk Platform team at Airwallex is essential for managing risks across all Airwallex products, including GTPN, PA, Issuing, Onboarding, and Account takeover. With a perpetually evolving risk environment, we remain at the cutting edge of risk management innovation.Our mission is to ensure the security and trustworthiness of Airwallex's products and services, making us a reliable partner for businesses globally. We utilize advanced technologies, including graph analytics, machine learning, and large language models, to refine and implement our risk management strategies.Collaboration with other teams and our global clientele is crucial for a comprehensive risk management approach.This role is based in Singapore.