Fraud Process And Analytics Professionals Jobs

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 Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the Team The Financial Risk Engineering team builds the tooling that keeps Wealthsimple's clients safe from fraud, without getting in the way of the experience they signed up for. We sit at the intersection of engineering, product, compliance, fraud countermeasures, and data science, and we're the ones who turn that intersection into working systems. We move fast, but we build thoughtfully. Every decision here is a real trade-off between risk and experience, and we take that seriously. If you want to work on problems where the stakes are real and the answers aren't obvious, this is the team for it. About the Role As Manager of Software Development for Financial Risk, you'll lead the team responsible for how Wealthsimple detects and responds to fraud. This is a hands-on technical leadership role: you'll set the roadmap, but you'll also be in the work when it counts. You'll be the connective tissue between engineering, product, compliance, fraud countermeasures, and data science, making sure those teams are solving the same problem instead of five different ones. In this role you'll have the opportunity to Own and evolve the technical roadmap for the Financial Risk Engineering team Act as the connective layer between engineering, product, compliance, fraud countermeasures, and data science Stay hands-on: jump into the codebase, weigh in o

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm’s MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you. What You'll Do: Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain. Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management. Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm’s MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you. What You'll Do: Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain. Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management. Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Trust & Safety Associate, you are on the front lines of protecting our users. You'll be a critical part of the team that ensures every job on ZipRecruiter is legitimate and every employer is verified. Your work directly impacts the safety and success of millions of job seekers, safeguarding them from fraud and helping us fulfill our mission. If you are a detail-oriented investigator with a passion for doing the right thing, this role is for you. The target start date for this role is 9/14/2026. Responsibilities: Protect Our Users: Investigate potential fraud, account takeovers, and policy violations to maintain a safe and reliable platform. Verify and Validate: Proactively connect with new employers via phone (inbound and outbound) and email to verify their accounts, ensuring a high-quality experience from the start. Uphold Quality Standards: Meticulously review job advertisements to ensure they comply with our guidelines and protect the integrity of the job seeker experience. Stay Ahead of Threats: Analyze and identify emerging scam trends, collaborating with the team to adapt and evolve our prevention strategies. Drive Improvement: Help refine and optimize our safety protocols and validation procedures, making our team more effective and efficient. Serve as an Expert: Provide interdepartmental support on account validation a

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 Risk Engineering builds the systems that protect Stripe from fraud, credit losses, and regulatory risk across user onboarding, compliance, financial crimes, and identity verification. Financial Crimes Engineering builds the systems and controls that let Stripe safely onboard businesses in emerging and regulated industries while keeping Stripe in compliance with sanctions law, anti-money-laundering rules, and financial partner requirements. We keep known bad actors off Stripe, find new through ongoing detection, and build AI-augmented tooling that helps expert reviewers resolve cases quickly and accurately. We operate at scale, screening every user, enforcing jurisdictional restrictions across money movement in real time, and automating signal acquisition and synthesis into investigation workflows. We're now re-architecting our screening platform to make it safe and easy for new Stripe products to launch with the right financial crimes controls, to express richer policy as code, and to serve as a multi-tenant Risk Platform offering across Stripe's products and subsidiaries. What you'll do As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening latency with accuracy, build the systems that surface emerging risk and collect information to resolve it, and ensure investigators have the tooling they need.

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 Abuse Research team is dedicated to proactively hunting for emerging abuse vectors and studying complex attacker behaviors. Rather than just reacting to alerts, the team maps complete abuse paths across Stripe products and external systems to validate novel findings and explain the underlying product conditions that enable fraud. By building continuous abuse tests with agentic testing and related systems, they translate their deep research into actionable threat advisories, strategic control recommendations, and regression scenarios that fortify Stripe’s defenses. What you’ll do You will lead the Abuse Research Group (ARG)—a team of threat intelligence analysts, fraud researchers, and detection engineers focused on proactively identifying and mitigating threats to Stripe and our merchants. You will set the research agenda, guiding work across threat actor tracking, hands-on fraud investigations, merchant ecosystem defense, and the detection pipelines that turn findings into production enforcement. You will scale the team through hiring, coaching, and talent development, while serving as a technical advisor on complex investigations. You will also own ARG's relationships with key partners—including Risk, Trust & Safety, Fraud Platform, and Security Engineering. Lead, develop, and retain a team of threat intelligence analysts, fraud researchers, and detection engineers who thrive at the intersection of adversarial research an

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Role Mission As our Digital Advertising Data Analyst, you won't just be moving data—you'll be defending our revenue and driving our growth. You will bridge the gap between complex datasets and high-pressure business decisions. Whether you are uncovering a campaign's "hidden" success to secure a contract renewal or identifying sophisticated ad fraud to protect a client's budget, your insights will be the backbone of our commercial strategy. Key Responsibilities Performance Optimization : Analyze real-time campaign data to provide actionable "pivot" suggestions that directly improve client KPIs. Fraud Defense : Develop and maintain fraud detection reports to proactively address client concerns and ensure high-quality traffic. Stakeholder Communication : Present findings clearly to management and clients, often in high-pressure situations where data must be the "voice of reason." Technical Requirements To succeed in this role, you must be a power user of our primary stack: SQL: Expert level. Ability to rapidly write complex, performant queries across large, nested datasets. Python: Proficient in data manipulation (Pandas/NumPy) and automating repetitive reporting tasks. Tableau: Ability to build intuitive, client-facing dashboards that tell a story at a glance. Google Sheets: Advanced capabilities for quick-turnaround tactical analysis. The Ideal Candidate Battle-Tested: You have thick skin. You can stay calm and objective when presenting data to stressed stakeholders or skeptical clients. Business Intuition

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are hiring for a leader for the newly forming Detection and Response team at Plaid. Our mission is to protect Plaid's financial infrastructure by detecting and responding to suspicious activity across the company. We are responsible for the entire lifecycle of detection and response, including detection infrastructure, AI triage and response, investigation tooling, Red Teaming, and Fraud Operations. Security is foundational to the trust thousands of businesses and millions of consumers place in Plaid, and we work directly to reduce risks and enable our business to move faster and safer. As the Head of Detection and Response, you will be the founding leader responsible for standing up and evaluating Plaid's detection and response team. You will lead a specialized technical team of analysts and engineers, gain deep experience partnering with the CISO and cross-functional engineering leaders, and build critical security infrastructure at scale. This is a unique leadership opportunity to manage a team that encompasses traditional security operations alongside Red Teaming and Fraud Operations, directly impacting Plaid's security posture and long-term stability. Responsibilities: For

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. Reporting into the Manager of Global Investigations, the Investigator of Global Investigations will support all lines of business related to investigations (e.g. Platform Fraud, Community Safety, Law Enforcement Liaison & Partnerships, Insurance Fraud and Executive Protection & Risk Assessment). This role will efficiently and effectively build strong and meaningful relationships with internal business partners, law enforcement agencies, and other third parties to bring successful case resolution. This role regularly interacts with State/County/Local Law Enforcement in developing comprehensive and detailed cases pertaining to organized offenders and provides expertise to and gains buy-in from Law Enforcement Agencies to assist in the safe apprehension of these offenders. Responsibilities: Work in close partnership with the Manager of Global Investigations and Head of Global Security to set strategic objectives, drive accountability, and ensure successful delivery of key performance metrics Assist in the design and build of the global law enforcement outreach program, in order to regularly liaise and develop strategic relationships with law enforcement agencies Proactively maintain effective working relationships with law enforcement and government authorities Collaborate and build strong relationships with internal cross-functional partners, including Privacy/Identity/Integrity (PII), Risk, Community Safety, Legal, Public Policy, and other Operations teams and leaders across Lyft Plan and execute educational programs for law enforcement authorities on our business and challenges with external theft and loss Learn and develop a deep understanding of the businesses and activities related to Platform Fraud, Community Safety, Law Enforcement, Liaison & Partnerships, Insurance Fraud and Executi

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 rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. Building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives requires robust, scalable software systems operating at massive scale. Our highly motivated Software Engineers work on these challenging problems and build the systems that directly impact various aspects of our core business. If you are a critical thinker with experience building software systems, passionate about solving business problems through well-crafted code and working in a dynamic, creative, and collaborative environment, we are searching for you. As an associate software engineer, you will be designing, building, and launching the services that power the platform's core products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, distributed systems, backend services, mapping, personalization, and real-time infrastructure. We are hiring motivated engineers across each of these areas. We're looking for someone who is passionate about solving problems with code, building reliable and maintainable systems, and is excited about working in a fast-paced, innovative, and collegial environment. You will report to a Software Engineering Manager. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to build software for business and user impact Perform technical analysis and build proof-of-concept prototypes to explore and propose solutions to both new and existing problems Design and develop software components, services, and APIs Write production quality code to launc

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. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi

About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven innovation, building the scalable systems that power Meesho's most critical surfaces — Search, Recommendations, Personalized Ranking, Logistics, Fraud Detection, and Image Match. The AI Platform sits at the heart of this. It serves a peak of 1M+ real-time deep-learning model inferences per second on ordinary days, scaling 3x+ on sale days — with the reliability that scale demands. The team works at the frontier of applied AI and infrastructure — multi-region inference, novel embedding-search algorithms, and optimized open-weight LLM models — squeezing out every bit of computation and passing the cost savings straight back to customers. About the Role We are looking for an experienced Engineering Manager – AI Engineering to lead the development of scalable AI platforms and infrastructure while managing high-performing engineering teams. You will drive the design, delivery, and optimization of production-grade AI systems powering AI use cases across Meesho. What You'll Do Lead, mentor, and grow a team of AI engineers — setting technical direction, raising the engineering bar, and owning execution and delivery end to end. Architect and scale Meesho's AI platform: cross-region model inference, multi-GPU fleet allocation and management, distributed training, and feature-engineering infrastructure. Drive inference optimization across the full stack — GPU kernel tuning, quantization (including outlier/tail-distribution handling), and memory/IO-bandwidth optimization — while building agents that codify and delegate known optimization procedures. Optimize open-weight models at both the model and inference-engine level — distillation, quantization, speculative decoding, KV-cache and serving-engin

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for an intelligent, driven professional to join our Bank Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse. What You'll Do Full-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models—including machine learning and traditional statistical models—focusing on conceptual soundness, data integrity, and performance stability. Advanced Quantitative Monitoring: Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time. Remediation & Technical Advisory: Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust. Audit & Regulatory Liaison: Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests. Affirm Bank: Work for the internal Bank team to support the build out of the Bank Model Risk Management function. Support the model validation requirements for Bank owned models. What We Look For 7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics Deep understanding of the consumer credit lifecycle and/or fraud detection. Technical familiarity with loss forecasting/fraud prediction, a

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About Team Paytm's Unified Payments Interface (UPI) offering that enables users to make instant bank-to-bank payments directly from their linked bank accounts. About the Role We are looking for an AI Product Manager to lead the development of Agentic AI solutions for Paytm's UPI ecosystem. The role focuses on building intelligent, autonomous AI agents that enhance payment experiences, automate customer support, detect fraud, provide personalized financial insights, and optimize payment success rates. Key Responsibilities -Define product strategy and roadmap for AI-powered UPI experiences. -Build autonomous AI agents for payments, dispute resolution, customer assistance, and transaction recommendations. -Collaborate with Engineering, Data Science, Design, and Risk teams to deliver AI-first products. -Leverage LLMs, AI agents, and workflow automation to improve user engagement and operational efficiency. -Drive experimentation using analytics, customer insights, and A/B testing. -Ensure compliance with NPCI guidelines, privacy, and responsible AI practices. Superpowers/ Skills that will help you succeed in this role: · -3–8 years of Product Management experience in FinTech, Payments, or AI products. -Understanding of UPI, digital payments, and banking ecosystems. -Experience with Generative AI, LLMs, Agentic AI frameworks, and AI product development. -Strong analytical skills with SQL and product analytics tools. -Excellent stakeholder management and execution capabilities. Why join us: A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average r