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Fraud Process And Analytics Professionals Jobs

879 active opportunities · Updated for October 2026

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Explore current fraud process and analytics professionals jobs. Use filters to narrow by work mode, employment type, experience and date posted.

C
7 days ago

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

T
Toast
📍 Bengaluru
8 days ago

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We're looking for a Product Manager for Fraud & Risk who wants to understand how fraud really happens and to build products that stop it at scale. You're comfortable with ambiguity and you like hard trade-offs, like loss vs. friction or automation vs. human review. Your decisions rest on data, customer insight and strong cross-functional partnerships. And last, but not least, you know that a team succeeds because of its people, and you want to help build an environment where we can all do our best work. This is a chance to shape the risk platform behind one of the largest restaurant payments businesses in the US. You'll use machine learning and AI to protect restaurants and help Toast grow. Who We Are The Fraud & Risk team keeps Toast, our restaurants and their guests safe from fraud and financial loss. We also make it fast and easy for restaurants to get onboarded and get paid. The team owns: Merchant onboarding and underwriting (KYC/KYB) Transaction and payout risk monitoring The fraud rules and decisioning platform Settlement reserves Chargebacks and disputes Our job is to balance loss prevention against growth. We stop bad actors without adding friction for the great majority of restaurants that are doing the right thing. We work closely with Risk Operations, Payments, Compliance and Legal. We operate like a small startup with high ambitions and a focus on speed, experimentation and iteration. A day in the life (Responsibilities) Drive and prioritize the roadmap for your area of Fraud & Risk. Balance fraud loss reduction, merchant experience and business growth. Set the strategy for detecting and preventing fraud across the merchant lifecycle: onboarding, payments, payouts and disputes. Partner with data science and engineering to improve risk models, rul

sqlmachine learningai
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About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. Your role The Partner Onboarding Advisor is responsible for executing Tamara’s merchant onboarding steps end-to-end for assigned merchants—focusing on accuracy, SLA adherence, and a smooth merchant experience. The role owns KYB, compliance and fraud checks, integration coordination, and activating merchants/partners for go-live readiness. Your responsibilities 1) Merchant intake & case ownership Pick up assigned merchants from the relevant queue/view, take ownership, and manage the case through activation/go-live. Monitor and work on support queues for merchants who are not live yet; action tickets promptly and correctly, ensure all actions/decisions are documented in internal notes, and communicate clearly and professionally with merchants throughout the full ticket lifecycle (updates, requests, and resolution). Make proactive follow-up calls with merchants that have pending actions (e.g., missing go-live requirements, pending integration steps on the merchant side, or pending contract signature) to unblock progress, reduce average time-to-go-live, improve conversion rates by increasing the % of merchants who complete pending actions and go live, and improve NPS by creating a more supportive onboarding journey. 2) KYB & document collection/validation Validate submitted documents (CR/Trade License/Freelancer certificate, ID, IBAN, VAT where applicable) and ensure they meet minimum validity and quality requirements. Confirm consistency across

salesforceCRM
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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 You will be the first point of contact for GoCardless users and partners, resolving their queries, improving their onboarding experience, and helping them to navigate the GoCardless product. You’ll also be verifying new accounts to ensure they meet the guidelines and are able to transact safely on the GoCardless platform. You will be speaking to English and French-speaking clients on a daily basis through emails, chats and phone calls. You’ll also be collaborating with internal teams such as Payment Operations, Engineering, Customer Success, and more. In doing this role, you’ll develop a thorough understanding of financial services, particularly in bank payments, direct debit, and open banking. Here, you will have the opportunity to grow with a business that’s looking to pioneer a new age of payments. We work with tools such as Zendesk, Slack, Jira, and more, so if you’re familiar with those, you’ll be ready and set. What excites you Helping people grow their businesses and client bases Investigating problems and solving them efficiently with teamwork Working in a d

airecruitment
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M
11 days ago

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

javascriptpythonjava
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Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce - helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing, and expanding into multiple new areas. We are building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for 50+ global payment methods. What you’ll do You will own ML problems from conception to production: analyzing new fraud and abuse patterns, exploring large-scale datasets, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence across consumers, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections with frontier AI labs. You will have opportunities to ship 0→1 products, and to improve mission-critical ML models operating at Stripe scale. Responsibilities Build, train, evaluate, and deploy models that detect fraud and abuse across Stripe’s global network. Investigate emerging fraud and abuse patterns, identify whe

machine learningai
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G
13 days ago

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 Payment Success helps merchants get paid and keep their cash flow reliable. We predict which payments are likely to fail, recover the money when they do, and protect merchant cash flow across our payment rails. As Engineering Manager, you will lead a cross-functional team of engineers, a designer and data scientists, building intelligent products that use machine learning and AI. You will take ownership of the payment intelligence products we have already built, and work with your team and product manager to decide what we build next. We give teams problems to solve rather than tasks to complete, so you and your team will own what gets built, how it gets built and how success is measured. You will be accountable for the quality, delivery and operation of everything the team ships, and you will look after your people through 1:1s, feedback and career development. You'll step in wherever the team needs you, and earn credibility with senior engineers and data scientists within the team and across product development. What excites you Shipping stuff: you’ll work with your tea

javascriptpythonreact
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G
13 days ago

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 Payment Success helps merchants get paid and keep their cash flow reliable. We predict which payments are likely to fail, recover the money when they do, and protect merchant cash flow across our payment rails. As Engineering Manager, you will lead a cross-functional team of engineers, a designer and data scientists, building intelligent products that use machine learning and AI. You will take ownership of the payment intelligence products we have already built, and work with your team and product manager to decide what we build next. We give teams problems to solve rather than tasks to complete, so you and your team will own what gets built, how it gets built and how success is measured. You will be accountable for the quality, delivery and operation of everything the team ships, and you will look after your people through 1:1s, feedback and career development. You'll step in wherever the team needs you, and earn credibility with senior engineers and data scientists within the team and across product development. What excites you Shipping stuff: you’ll work with your tea

javascriptpythonreact
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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 Payment Success helps merchants get paid and keep their cash flow reliable. We predict which payments are likely to fail, recover the money when they do, and protect merchant cash flow across our payment rails. As Engineering Manager, you will lead a cross-functional team of engineers, a designer and data scientists, building intelligent products that use machine learning and AI. You will take ownership of the payment intelligence products we have already built, and work with your team and product manager to decide what we build next. We give teams problems to solve rather than tasks to complete, so you and your team will own what gets built, how it gets built and how success is measured. You will be accountable for the quality, delivery and operation of everything the team ships, and you will look after your people through 1:1s, feedback and career development. You'll step in wherever the team needs you, and earn credibility with senior engineers and data scientists within the team and across product development. What excites you Shipping stuff: you’ll work with your tea

javascriptpythonreact
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L
13 days ago

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

pythonsqlmachine learning
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M
14 days ago

About the Team You will join the Security & Investigations team within Fulfilment & Experience (F&E) at Meesho. F&E is the operational and technological backbone powering India's cost-efficient, reliable and scalable e-commerce network, serving 100M+ monthly active users. From enabling Valmo's distributed logistics network to building scalable fulfilment and experience platforms, F&E operates at the intersection of technology, operations and network innovation. Within F&E, the Security & Investigations team safeguards the integrity and resilience of this network. The team investigates shipment loss, pilferage, fraud and misconduct, oversees physical security across operating sites, and coordinates with law enforcement and other stakeholders where required. Working closely with Operations, HR, Legal and logistics partners, the team helps keep the network secure, compliant and resilient. About the Role Valmo's operating network is powered by a large and diverse workforce spanning sort centres, hubs and last-mile operations. A significant portion of this workforce is engaged through logistics partners and other workforce arrangements, creating a complex industrial-relations environment across multiple locations and states. As Head – Industrial Relations, you will own the Industrial Relations (IR) charter for the operating network, within the Security & Investigations function, and work closely with HR, Legal, Operations and partner leadership. Your mandate will be to build a stable, compliant and scalable workforce-relations framework that prevents avoidable disputes, enables fair and timely resolution of workforce issues, and provides strong governance when matters escalate. The role combines strategic IR leadership with significant field engagement. You will build early-warning mechanisms, manage worker and union relationships, oversee dispute and disciplinary processes, strengthen partner workforce compliance, engage with labour authorities, and create playbooks and

logisticsHR
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G
14 days ago

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 You will be joining our Solution Engineering team and will be the primary technical lead during engagements with our prospective and existing merchants. You will help qualify, shape, close and support new and existing business opportunities. You will provide technical guidance and oversight on our most exciting opportunities whilst working alongside our sales teams. Your day-to-day will focus on: Working with our sales team on new and existing opportunities Presenting and crafting demos showcasing our product Performing technical discovery and architecting solution designs for prospects Work closely with our product team on product improvements, new initiatives and feature requests Work alongside implementation managers and customer success teams to ensure a smooth journey for clients What excites you You are a problem solver at heart You have a love for learning and are curious by nature You are consultative and love to get stuck into the detail You have a growth mindset and are open to new lines of thought You love to help clients accelerate their growth and build innov

airecruitment
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G
14 days ago

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 You will be joining our Solution Engineering team and will be the primary technical lead during engagements with our prospective and existing merchants. You will help qualify, shape, close and support new and existing business opportunities. You will provide technical guidance and oversight on our most exciting opportunities whilst working alongside our sales teams. Your day-to-day will focus on: Working with our sales team on new and existing opportunities Presenting and crafting demos showcasing our product Performing technical discovery and architecting solution designs for prospects Work closely with our product team on product improvements, new initiatives and feature requests Work alongside implementation managers and customer success teams to ensure a smooth journey for clients What excites you You are a problem solver at heart You have a love for learning and are curious by nature You are consultative and love to get stuck into the detail You have a growth mindset and are open to new lines of thought You love to help clients accelerate their growth and build innov

airecruitment
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T
14 days ago

The Loyalty Analyst helps run and continuously improve our loyalty program, owning its day-to-day administration while digging into what drives members to visit more often and spend more per visit. This person also safeguards the program's integrity by identifying and stopping fraudulent or abusive activity before it erodes program value. Working closely with marketing, finance, and technology teams, the Loyalty Analyst ensures the program runs smoothly and delivers real return on investment and serves as the primary point of contact for our loyalty vendor. Administer the day-to-day operations of the loyalty program, including point accrual and redemption rules, tier logic, and member account maintenance. Analyze loyalty member behavior to identify opportunities that increase return visit frequency and average guest check Monitor program transactions for signs of fraud or abuse (e.g., point gaming, account sharing, redemption anomalies) and escalate or resolve issues as needed. Build reporting and dashboards to track core loyalty KPIs: enrollment, active member rate, redemption rate, breakage, and member lifetime value. Partner with marketing to design and evaluate targeted offers, promotions, and campaigns aimed at loyalty members Work with technology and vendor partners to troubleshoot loyalty platform issues and support enhancements. BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. View team member benefits here. <p style="text-align:left !importan

financehuman resources
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AG
14 days ago

Head - Security is responsible for leading the site security operations in alignment with the organization's business objectives and Security Strategy Roadmap. Responsible for safeguarding the company's infrastructure, ensuring the safety of employees and stakeholders, and protecting designated individuals. The Head - Security is tasked with preventing and addressing fraud and misconduct, conducting detailed security risk assessments, and managing security-related automation and infrastructure projects to protect both tangible and intangible assets. Source: Adani Group | Job ID: 59892

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