Fraud Expert Jobs

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role This role sits within the Financial Control team, who are responsible for the month-end close, preparation of financial accounts (to GL level,) and play a key role in the delivery of audits. Reporting into the Finance manager, you will be a newly / nearly qualified accountant with experience in delivering month-end activities such as accruals, prepayments, payroll and performing balance sheet reconciliations. What excites you Preparing monthly journals such as accruals, prepayments, leases and payroll across all entities. Collaborating with other teams, including AP, tax, payroll and management reporting, ensuring smooth end-to-end financial processes. Ownership of key balance sheet accounts, ensuring reconciliations are completed monthly and any variances are resolved on a timely basis Provide P&L variance analysis and commentary for key cost areas Assist with the annual audits in preparation and provide the requested documents Preparing VAT returns Supporting the Finance Manager / Group Financial Controller as required What excites us

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Design Manager at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. You'll work shoulder-to-shoulder with Engineering and Product Management, dig into the data, and use LLM-powered tools alongside traditional design tools. If the LLM powered tools don’t exist yet, you build them. About the Role Trust is the foundation of every interaction on DoorDash. We're looking for a design leader who can define and drive a vision for designing for integrity at scale. In this role, you will join the Integrity organization. You’ll lead a team of designers working across fraud prevention, trust, safety, and compliance — protecting millions of consumers, Dashers, and merchants while keeping the platform seamless and trustworthy. You will report into the Head of Design for our Customer Experience & Integrity organization. This role is hybrid- 1–2 days per week in one of our Design Hubs. You’re excited about this opportunity because you will… Set the technical direction for Design across your product area — decide what gets built, in what order, and why; connect multiple teams around shared platforms so the work compounds instead of duplicating Work on ambiguous problems and turn them into architecture decisions and working systems that teams actually use; earn trust with leadership not through decks, but through prototypes and shipped code that make your point for you Stay close to the code and the craft across multiple projects at once — you're not just reviewing, you're building; the work you ship will move real metrics across the product area

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The RPh Advisor supports the clinical operations of the Member Quality Assurance Commercial and Medicare Part D fraud, waste, and abuse program for a national client. The program's goal is to identify, prevent, and resolve inappropriate drug utilization, identify negative trends, refer potentially fraudulent activity to the MQA investigators, remain compliant with the Drug Management Program for CMS. The RPh Advisor works with a diverse departmental staff which includes Professional Investigators, Data Analysts, and Clinical Assistants. Responsibilities include clinical review of plan member profiles for FWA, managing the Overutilization Taper program, submission of specific cases to vendor for External Peer Review (EPR), assistance with program and system enhancements, securing client satisfaction and retention, and working cross functionally with client and internal partners to help identify and resolve FWA issues. The RPh communicates directly with the client on a regular basis regarding status of program. Candidate must be a licensed Pharmacist in the state of Arizona with the ability to work a hybrid (1 day/wk in office) role based out of the Phoenix, AZ office, with the ability to work remotely the remaining days. Required Qualifications This position requires excellent people skills and the ability to be innovative, proactive, reso

We are looking to speak to candidates who are based in Sydney for our hybrid working model. Required Experience building and maintaining complex mission-critical production database systems (RDBMS or NoSQL). Coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. Experience working with APIs and using it to integrate with 3rd party technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc. Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting Experience analyzing and troubleshooting issues holistically, from the application tier through the database, down to storage Troubleshooting experience with TCP/IP networking stack on OS and Hypervisor Experience using or administering one or more cloud services stacks such as AWS, Azure or GCP Hands-on experience with administering and troubleshooting NAS, SAN, local storage, multi-pathing Experience building solutions involving application workloads and use cases. Preferred Experience using or managing MongoDB preferred Experience in one or more programming languages developing applications using a NoSQL or SQL database. Strong understanding of authentication systems such as LDAP, Kerberos, AD Experience using distributed version control systems, and in particular git Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators. Experience in working software product teams, and familiarity with product release processes from planning to release. Success Measures In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training. In 6 months, you will be comfortable working frontline w

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. As a PhD Machine Learning Engineer Intern on our Applied AI team, you'll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you'll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue. If you are a PhD student who enjoys turning open-ended research questions into working systems, and you want your research to be tested against real users and real data, this opportunity is for you! Responsibilities: Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization Write production-quality code that turns research prototypes into working pipelines on Lyft's data and ML infrastructure Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical aud

Data Scientist II, Cohere Health, Inc., Boston, Massachusetts (Remote) Duties: Gather business requirements and apply trend analysis to identify actionable insights using analytic tools. Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities. Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision-making. Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership. Train, fine-tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security-related or operational data. Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes. Develop data models, algorithms, and simulations to support analytical objectives. Build visualizations and dashboards to communicate analytical findings and support business workflows. This is a fully remote position and may be performed from anywhere within the United States. Occasional travel to company headquarters in the U.S. for onboarding, team meetings, and company events may be required. Requirements: Must have a Master’s degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent) and 36 months of experience as Analyst or related position analyzing datasets. Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills: Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data; Performing data quality analysis to identify data quality issues, gaps, or inconsistencies; Building scalable AWS Airflow pipelines to ingest, integrate, and tr

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Corporate Counsel, Intellectual Property Enforcement San Mateo, CA | Hybrid - 2 days per week in our San Mateo office Role Summary: Sony Interactive Entertainment’s Legal, Public Policy & ESG team is looking for an experienced lawyer to join its award-winning IP Enforcement practice. This role combines sophisticated and technically complex copyright and content protection work with online and offline enforcement, addressing evolving issues such as piracy, pre-release leaks, game modifications, circumvention, emulators, and other emerging threats affecting PlayStation games and content. As Corporate Counsel, IP Enforcement , you will serve as the primary legal contact for IP enforcement in the Americas, with a particular focus on supporting PlayStation Studios and SIE’s Game Protection Program, our dedicated initiative to combat piracy, protect pre-release content, and address unauthorized game modification. Reporting to the Director, Global IP Enforcement in the UK, you will work closely with legal, technical, investigative, security, fraud, and business teams around the world. This is a highly collaborative role offering a mix of contentious, advisory, and strategic work at the intersection of intellectual property, entertainment, video games

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a skilled and innovative Application Security Engineer to join 𝕏 Money. In this role, you will protect the security and integrity of our payments and financial products throughout the software development lifecycle, with a particular focus on code security, CI/CD pipelines, and systems that move and hold customer funds. Experience securing fintech, payments, digital wallet, ledger, or similar high-value platforms, where fraud, abuse, and unauthorized transfers are a constant concern, is strongly preferred. RESPONSIBILITIES: Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in financial applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for payments, wallets, ledgers, and related product surfaces, and develop mitigation strategies for fraud, abuse, and unauthorized movement of funds or credits Manage vulnerability tracking and remediation efforts, providing guidance to development teams Manage the

About the Team The Integrity team is seeking a Strategy & Operations Senior Associate to help reduce fraud costs and drive solutions that safeguard the integrity of our platform. In this role, you’ll develop a deep understanding of our three core audiences—Consumers, Dashers, and Merchants—and become a key resource for analyzing behaviors that may indicate risky or abusive patterns. You’ll lead investigations into high-risk activity, design data-informed strategies, and implement cross-functional initiatives to mitigate losses while maintaining a seamless and trusted user experience. Most importantly, you’ll help strike the right balance between user trust and risk management, ensuring we continue to support growth while protecting the platform. About the Role Our best Senior Associates are data-driven, truth seeking, strategic thought partners and operators. They combine business context and analytics to take on a problem area and implement a customized solution. Think this is you? Read on… You're excited about this opportunity because you will… Establish and refine DoorDash's strategic approach to payments, credit and refund risks - work on the operations, engineering, and analytics needed to protect DoorDash’s audiences from bad actors Analyze user behavior across DoorDash's platform – complete end-to-end analysis that allows us to better identify the bad actors and improve the experience of good users Influence and engage across the company - partner with the product, engineering, and analytics teams to establish goals and build strategic programs Improve through experimentation – use data-driven decision-making to run tests in order to reduce risk while accelerating growth We're excited about you because… 2+ years of experience in consulting, strategy, business development, operations, technology, investment banking, analytics or related experience Experience leading projects, hitting goals, and succeeding in a team environment Strong communicat

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Waste & Error Certified Coding Manager is responsible for leading the Certified Coding Analyst and W&E Team Lead roles that conduct medical claim reviews and coding audits to identify billing errors, waste, abuse, fraud, and payment integrity opportunities. The Manager provides direct people leadership, establishes operational priorities, ensures consistent application of coding and billing requirements, and is accountable for team productivity, quality, service levels, compliance, and employee development. This role partners closely with the W&E team lead, who provides day-to-day technical guidance and subject matter support to the coding team. The Manager retains accountability for staffing, performance management, workload oversight, escalations, audit readiness, process improvement, and delivery of business outcomes. The position also represents the team in discussions with senior leadership, Medical Directors, Legal, Compliance, Analytics, Operations, and other Payment Integrity partners. Primary Responsibilities People Leadership & Team Development Lead, coach, and develop a team of Certified Coding Analysts and Senior Certified Coding Analysts. Establish clear role expectations, performance goals, productivity standards, quality requirements, and accountability measures. Conduct regular perfor

Starting Hourly Rate / Salario por Hora Inicial: $18.75 USD per hour ALL ABOUT TARGET As part of our collaborative and guest-obsessed team, you help us create an experience that makes guests say, “I love Target!” When you work at Target, you’re helping every family discover the joy in everyday life. You’re working alongside a dedicated team that cares, grows, and wins together. A team that is inclusive, makes connections, and brings their passion and pride to all that they do. You will deliver a destination shopping experience by providing a safe and secure environment for our guests and mitigate shortage risks in order to drive sales. ALL ABOUT ASSETS PROTECTION Assets Protection (AP) teams function to keep our guests, team and brand safe and secure and lead through crisis events. They protect profitable sales by mitigating shortage risks, preventing, investigating and resolving theft and fraud to ensure product is available for our guest. At Target, we believe in our team members having meaningful experiences that help them build and develop skills for a career. The role of a Target Security Specialist can provide you with the: Skills using intelligence-led tactics to keep team members and guests safe and secure Experience in crisis response, safety and crowd management; providing support to both guests and team members Skills in de-escalation as well as experience with recovering stolen merchandise to prevent shortage Ability to utilize Target's video surveillance system Ability to properly document cases using industry case management systems As a Target Security Specialist, no two days are ever the same, but a typical day will most likely include the following responsibilities: Support sales by welcoming and engaging guests and team members at the fro

About the opportunity We are looking for a dynamic Team Lead to join our AFC Operations Department in Madrid to ensure compliance with applicable regulations and relevant company policies related to Anti-Financial Crime. Our target in AFC is to lead and shape the industry by creating a culture of compliance within N26 that authorities, customers and stakeholders can trust. This role is crucial to achieve this goal. In this role, you will: Support all Anti-Financial Crime tasks including AML, terrorism financing, sanctions, KYC, and fraud. You’ll detect Money Laundering typologies and Financial Crime patterns, while handling external and internal requests to detect potential financial crime. Your responsibilities will include: Leading and managing a team of analysts and investigators. Ensuring timely and accurate investigation of suspicious activities and reporting. Overseeing daily operations to ensure compliance with regulatory standards. Monitoring and reporting on the effectiveness of AFC controls. Coordinating with other departments to implement and enforce/improve AFC policies. Developing and implementing process improvements to enhance operational efficiency. Support responding to audits and regulatory inquiries as needed Fostering a culture of continuous learning and professional development within the team. Promoting teamwork and collaboration to achieve shared objectives. What you need to be successful: Background: Several years with relevant banking experience in Anti Financial Crime Strong leadership and team management skills Experience on French AML/CTF regulation Bachelor’s degree (ideally in law, business or finance) preferred, but not essential Knowledge use of Google Workspace In-depth understanding of Anti-Financial Crime regulations and compliance standards You are fluent in English and French spoken and written Deliver with quality and keep confidentiality Maintain an analytical mindset, willingness of thinking out of the

About the opportunity We are looking for a dynamic AFC Analyst (Italian fluent) to join our AFC Operations Department to ensure compliance with applicable regulations and relevant company policies related to Anti-Financial Crime. Our target in AFC is to lead and shape the industry by creating a culture of compliance within N26 that authorities, customers and stakeholders can trust. This role is crucial to achieve this goal. In this role, you will: As AFC Analyst, you will support all Anti-Financial Crime tasks including AML, terrorism financing, sanctions, KYC, and fraud. You’ll detect Money Laundering typologies and Financial Crime patterns, while handling external and internal requests to detect potential financial crime. Your responsibilities will include: Review and improve the investigation/assessments escalated by the Investigators, ensuring quality Investigations of complex Financial Crime escalations or cases of suspicious activities identified. Ensuring quality and suggesting better ways of working when difficulties are identified and /or for gaining efficiency. Enhancing our analysis, and expanding the processes in our procedures and rulebook, as well as identifying improvements related to our internal transaction monitoring systems. Draft and submit Suspicious Activity Reports/Authority requests to UIF and the corresponding authorities, prior escalation to the Associate/TL. What you need to be successful: Background: Min. 3 years with relevant banking experience in Anti Financial Crime (money laundering, terrorist financing, fraud, tax evasion). Solid knowledge of European AML/CTF directives, as well as local regulatory frameworks. Direct experience handling SAR/STR reporting and communication with local Financial Intelligence Units. Fluency in English is required, along with professional fluency in Italian. Bachelor’s degree (ideally in law, business or finance) is preferred. Advanced use of MS Office (G suits) skills for Excel and Wor

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et