Careers at Riskified

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Cortex team is a full-stack team, building Riskified’s Control center app, The main platform for our customers to analyze performance, perform actions on orders, generate reports, manage users etc. We develop the core AI capabilities for our customers on the platform. We also provide infrastructure solutions for MicroFrontends, auth services, export and more. Our Stack: Node.js , React, Kafka, Elastic, Ruby, AWS, Docker, Angular, Kubernetes, Prometheus, Grafana. What You'll Be Doing Design and develop a highly reliable, available, and scalable architecture for our core services in new promising products Take strong ownership over production systems, ensuring they run smoothly and reliably at all times Deploy code to production on a daily basis using advanced CI/CD pipelines Take technical ownership over complex, cross-domain problems and drive them from design through production Play an active role in shaping the team roadmap and influencing product and technical direction Collaborate closely with other engineering teams and product managers on cross-department initiatives Qualifications B.Sc. in Computer Science or military equivalent certifications 3+ years of proven experience in hands-on full stack coding Passion for writing clean, tested , and high-quality code Strong collaboration and communication skills, with the ability to work effectively across teams Independent self-learner with a strong sense of ownership and accountability Hands-on experience in Node.js Experience with CI/CD tools Experience with Grafana/Prometheus - advantage Experience with kubernetes - advantage Experience with Elastic - advantage Experience using AI tools to improve workflows and productivity - advantage We include transparent salary ranges to support fairness, clarity, and informed decision-making early in the process. The base salary range for this position is €50,000 - €75,000 gross annually for candidates based in Lisbon. Your actual salary will be determined based on your unique skills, experience, and competencies. If your expectations differ, please let us know - we’re always open to a conversation. The base salary is one part of the total compensation package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Some of our Lisbon Benefits & Perks: Hybrid mode of work Flexible schedule Healthcare benefits Fully-stocked kitchens Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more. Wellness program Celebrations and activities Team events Happy hours Awesome Riskified gifts and swags Volunteer programs Personal development Global onboarding Role-based technical skills training Full access to Udemy In the News C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology Globes: Riskified is among Israel’s fastest growing companies Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Data Science department powers Riskified’s core engine by building production-grade algorithmic solutions at immense scale. As a Staff Data Scientist on the Identity team, you will drive the innovation roadmap for our Identity Graph Engine. You will architect, research, and deploy state-of-the-art machine learning models - spanning graph neural networks, transformers, and deep tabular architectures - to solve complex entity resolution and fraud prevention challenges at scale. What You'll Be Doing Drive Identity Graph Innovation: Architect and advance the next generation of our Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques. Technical Leadership: Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems. Large-Scale Modeling: Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets. Cross-Functional Architecture: Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments. Mentorship & SOTA Research: Benchmark and import cutting-edge academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms. Qualifications Education: M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience: 6+ years of hands-on experience designing, training, and deploying complex machine learning models in large-scale production environments. Deep Learning & SOTA Models: Proven expertise with Transformers, Deep Neural Networks (DNNs), Graph Neural Networks (GNNs), or Advanced Tabular Learning architectures. Big Data Ecosystem: Strong practical experience working with large-scale distributed data processing systems (e.g., Spark, Databricks) and graph databases/frameworks. Technical Influence: Proven track record of technical leadership, setting architectural direction, and translating complex business requirements into high-impact algorithmic solutions. Advantages Experience in fraud detection, risk management, or fintech. Experience in Identity Resolution, Entity Disambiguation, Link Analysis, or Complex Network Modeling. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here ! Some of our Tel Aviv Benefits & Perks: Equity for all employees, Keren Hishtalmut, pension Private medical insurance, e xtra time off for parents and caregivers Commuter and parking benefits Team events, fully-stocked kitchen,lunch stipend, happy hours, y oga, pilates, functional training, basketball, soccer Wide-ranging opportunities to volunteer and make an impact Commitment to your professional development with global onboarding, s kills-based courses, lunch & learns Awesome Riskified gifts and swag! In the News Geektime: Riskified Goes Public Walla!: Happy Hour at the Riskified Offices Geektime Insider: A look at Riskified Tel Aviv Globes: Riskified to contribute the highest amount up to date to Tmura Globes: Riskified is among Israel’s fastest growing companies TechCrunch: Riskified Prevents Fraud on Your Fa vorite E-commerce Site Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The IT Security team protects endpoints, identities, SaaS applications, and the fast-growing landscape of AI tools and agents used across the company. In this role, you will operate and improve our security stack, handle detection and response across the organization, and drive security controls around identity, endpoints, SaaS, and AI adoption – governing AI assistants, coding agents, and MCP integrations while keeping employees productive. You will report to the IT Security & GRC Lead and work closely with IT, GRC, R&D, external vendors, and the wider security team. What You'll Be Doing Operate and maintain our corporate security stack: EDR (CrowdStrike Falcon), IdP (Okta), MDM (IRU), email security, and browser/SaaS security controls Experience hardening endpoints and enforcing device policy via MDM/EDR – security baselines, disk encryption, local admin restrictions, and USB/peripheral controls Monitor security alerts, respond to incidents, and perform forensic investigations across endpoints, identities, and SaaS Maintain identity security controls – SSO/MFA coverage, privileged access, joiner/mover/leaver, and access reviews Secure our SaaS footprint – security posture, configuration monitoring, and third-party integration hygiene across Google Workspace, Slack, Okta, and other core platforms Implement and maintain DLP controls across email, endpoints, and SaaS Run endpoint patching and vulnerability management, and coordinate remediation with owning teams Run POCs and rollouts of IT security tools – evaluating vendors, testing controls, and deploying them in collaboration with IT and external vendors Secure the company's use of AI tools – implement guardrails for AI assistants, coding agents, and MCP integrations, and build detections for AI-specific threats such as prompt injection and data exfiltration via connectors Qualifications Experience operating EDR/XDR, IdP/SSO, and MDM platforms (CrowdStrike, Okta, IRU/Jamf or equivalents) 4+ years of hands-on experience as a security engineer in a cloud-native / SaaS-first company Hands-on experience implementing and tuning DLP controls across email, endpoints, Experience in a cloud native high-scale SaaS or fintech environment Hands-on experience with LLM-based tools and agents (coding agents, AI assistants, MCP) and a solid understanding of their security risks – prompt injection, tool/connector abuse, data leakage, over-permissioned integrations Proven hands-on experience with incident response and forensic investigation in SaaS environments Experience assessing SaaS and third-party integrations (OAuth scopes, API access, data flows) Strong communicator, able to explain security risks to technical and non-technical stakeholders Professional English (written and spoken) Bachelor's degree in Computer Science, Information Security, or equivalent practical experience Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here ! Some of our Tel Aviv Benefits & Perks: Equity for all employees, Keren Hishtalmut, pension Private medical insurance, e xtra time off for parents and caregivers Commuter and parking benefits Team events, fully-stocked kitchen,lunch stipend, happy hours, y oga, pilates, functional training, basketball, soccer Wide-ranging opportunities to volunteer and make an impact Commitment to your professional development with global onboarding, s kills-based courses, lunch & learns Awesome Riskified gifts and swag! In the News Geektime: Riskified Goes Public Walla!: Happy Hour at the Riskified Offices Geektime Insider: A look at Riskified Tel Aviv Globes: Riskified to contribute the highest amount up to date to Tmura Globes: Riskified is among Israel’s fastest growing companies TechCrunch: Riskified Prevents Fraud on Your Fa vorite E-commerce Site Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Connect Team enables seamless integrations between external vendor ecosystems and Riskified’s comprehensive product portfolio - including Chargeback Guarantee, Dispute Resolve, and Policy Engine. We build high-performance connectors, apps, and APIs that bridge third-party services (Payment Gateways, Return Vendors, eCommerce Platforms, and CRMs) directly into our platform. By extending our platformic integration layers and introducing cutting-edge AI and agentic solutions, our team drastically simplifies merchant onboarding and accelerates integration velocity across thousands of global eCommerce merchants. This role requires strong technical execution paired with a deep understanding of our business domain to deliver frictionless, highly reliable onboarding experiences. What You'll Be Doing Build Integration Infrastructure: Design, develop, and maintain robust, scalable APIs, connectors, and integration layers connecting third-party platforms to Riskified's product suite. Drive AI & Automation: Introduce and implement AI and agentic solutions into product onboarding flows to maximize speed, accuracy, and automation for merchants. Embrace Modern Workflows: Actively utilize agentic coding tools and AI-assisted workflows to boost team development velocity and code quality. Bridge Tech & Business: Partner with Product, Design, and Domain experts to translate complex risk, dispute, and policy business logic into elegant software architecture. Ship to Production Daily: Maintain modern CI/CD pipelines, deploying high-quality code daily and taking strong end-to-end ownership of service reliability and performance. Active part in planning the team roadmap and products Qualifications B.Sc. in Computer Science or equivalent certifications 5+ years of proven experience in hands-on server-side coding Proven experience with server-side development languages, such as TypeScript, Scala, Java, C#, or Kotlin Hands-on experience in a recent frontend framework (React, Vue, etc.) - advantage Proven experience in full-stack development, with proficiency in both frontend and backend technologies Strong business context orientation with the capacity to understand domain workflows in risk, fintech, or eCommerce Demonstrated experience building APIs, microservices, and integration layers with databases (SQL/NoSQL) and cloud services (AWS/GCP) Passionate about leveraging AI coding assistants and agentic tools in daily development workflows Experience incorporating LLMs or agentic frameworks directly into customer-facing products - advantage Independent self-learner, proactive problem solver, and strong team player We include transparent salary ranges to support fairness, clarity, and informed decision-making early in the process. The base salary range for this position is €50,000 - €75,000 gross annually for candidates based in Lisbon. Your actual salary will be determined based on your unique skills, experience, and competencies. If your expectations differ, please let us know - we’re always open to a conversation. The base salary is one part of the total compensation package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees. Join us in shaping the future of Riskified’s innovative FinTech solutions, contributing to our cutting-edge environment while honing your skills as a Backend Developer. If you’re ready to take on impactful challenges and excel in a collaborative, forward-thinking team, we encourage you to apply. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Some of our Lisbon Benefits & Perks: Hybrid mode of work Flexible schedule Healthcare benefits Fully-stocked kitchens Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more. Wellness program Celebrations and activities Team events Happy hours Awesome Riskified gifts and swags Volunteer programs Personal development Global onboarding Role-based technical skills training Full access to Udemy In the News C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology Globes: Riskified is among Israel’s fastest growing companies Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Application Security team at Riskified ensures the security of Riskified’s products. In this role you will evaluate security architecture, design and implement technology, processes, and procedures by collaborating closely with developers, product managers, and other members of the security team. What You'll Be Doing Initiate and improve processes, tools, and documentation that will support application security requirements Identify security design gaps in existing and proposed architectures, services and products Evaluate architecture, design, and code to identify and resolve potential vulnerabilities and security risks Work closely with development teams to prioritise and resolve application security issues and implement security best practices, frameworks, etc. Assist in identifying and responding to security issues in Riskified’s environment Qualifications 5+ years application security hands-on experience Experience performing security design and code reviews, threat modeling and customizing application security solutions Strong understanding of common security attacks and their remediation Hands-on experience with AI tools and AI-based security solutions Experience performing security design reviews and security testing for AI systems, LLM-based applications, and AI agents Experience with programming languages: Ruby, Scala, Python, JavaScript, etc. (Advantage) Ability to work well with developers and product management Experience working in high scale SaaS environment (Advantage) Knowledge of microservice architecture, web technologies and APIs (Advantage) Ability to explain complex security problems Excellent problem solving skills We include transparent salary ranges to support fairness, clarity, and informed decision-making early in the process. The base salary range for this position is €60,000 - €70,000 gross annually for candidates based in Lisbon. Your actual salary will be determined based on your unique skills, experience, and competencies. If your expectations differ, please let us know - we’re always open to a conversation. The base salary is one part of the total compensation package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Some of our Lisbon Benefits & Perks: Hybrid mode of work Flexible schedule Healthcare benefits Fully-stocked kitchens Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more. Wellness program Celebrations and activities Team events Happy hours Awesome Riskified gifts and swags Volunteer programs Personal development Global onboarding Role-based technical skills training Full access to Udemy In the News C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology Globes: Riskified is among Israel’s fastest growing companies Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more . We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S We include transparent salary ranges to support fairness, clarity, and informed decision-making early in the process. The base salary range for this position is €60,000 - €70,000 gross annually for candidates based in Lisbon. Your actual salary will be determined based on your unique skills, experience, and competencies. If your expectations differ, please let us know - we’re always open to a conversation. The base salary is one part of the total compensation package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Some of our Lisbon Benefits & Perks: Hybrid mode of work Flexible schedule Healthcare benefits Fully-stocked kitchens Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more. Wellness program Celebrations and activities Team events Happy hours Awesome Riskified gifts and swags Volunteer programs Personal development Global onboarding Role-based technical skills training Full access to Udemy In the News C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology Globes: Riskified is among Israel’s fastest growing companies Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.