Jobiba hiring network

Fraud Intelligence Lead Jobs

392 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current fraud intelligence lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

S
1mo ago

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 Global Payments Performance Team identifies payment optimization opportunities for Stripe’s merchants. We serve a critical role both in demonstrating thought leadership on challenging payment topics, and also partnering with our high-potential merchants to set them up for long term success. We want a partnership with Stripe to be a competitive advantage for our customers, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals. What you’ll do The Global Payments Performance team will be responsible for leading data-driven discussions with existing and prospective merchants on optimization strategies across a variety of areas including, card network costs, acceptance, fraud, and cross-border flows to start. You will be instrumental in building our optimisation narratives/tools and delivering on our merchant engagement model. You will also collaborate with Sales, deploying your knowledge to differentiate Stripe to win deals, and partner with our Customer Success organization to ensure that merchants are successful working with Stripe. Responsibilities Lead discussions with existing and prospective merchants, and provide the Sales team with

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 Global Payments Performance Team identifies payment optimization opportunities for Stripe’s largest and most critical merchants. The Global Payments Performance team serves a critical role both in demonstrating thought leadership on challenging payment topics, and also partnering with our high-potential merchants to set them up for long term success. We want a partnership with Stripe to be a competitive advantage for our customers, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals. What you’ll do The Global Payments Performance team is responsible for leading data-driven discussions with existing and prospective merchants on optimisation strategies across a variety of areas including, card network costs, acceptance, fraud, and cross-border flows to start. You will be instrumental in building our optimisation narratives/tools and delivering on our merchant engagement model with a focus on high value merchants in Greater China and South East Asia. You will also collaborate with Sales, deploying your knowledge to differentiate Stripe to win deals, and partner with our Customer Success organization to ensure that merchants are successful working with Stripe. Responsibilities Lead discussions with existing and prospective merchants, and provide the Sales team with tools and training to lead discussions with merchants

S
Stripe
📍 New York• Full-time• Remote
1mo ago

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 Our Product Marketing team’s mission is to generate customer insights that inform Stripe’s product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch. We also drive both self-serve and sales-sold marketing efforts. We’re seeking a product marketer to drive the end-to-end GTM strategy and execution for Radar. As a Product Marketing Manager, you will shape the product roadmap, own product-level messaging and positioning, create differentiated content for events and presentations, support product launches, and enable sales. Reporting to the Fraud and Risk PMM Lead, you’ll partner with product and sales teams to drive awareness and adoption in a rapidly evolving market. What you'll do Serve as an early strategic partner on new offerings — shaping product direction, defining target segments, and building the GTM foundation (positioning, packaging, pricing narrative) from zero to one. Drive end-to-end product launches, including define audience segments, gather user insights, craft launch narratives, inform pricing and packaging, ensure cross-functional readines

REMOTEaigo
View job →
S
1mo ago

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 Global Alliances and Channels team owns the Go-To-Market (GTM) partnerships for Stripe including management consultants, payment advisors, systems integrators and technology partners. We drive the development of the partnerships including enablement and solution design along with the go-to-market strategy where we work with partners to source new opportunities for Stripe and ensure they are delivered and activated with world class quality. Additionally, we work to ensure our partners develop large, fast growing, profitable businesses on Stripe inclusive of payments, billing, fraud, stablecoins and agentic offerings. What you’ll do As the lead for Stripe relationship with Strategic payment advisors you will drive Stripe’s engagement with payment advisors who most critically influence opportunities relevant to Stripe. Payment advisors firms help large and medium businesses with all their needs related to payment, including monetizing payments through marketplaces and platforms, RFP execution, GTM, Cost optimization, new revenue modes and GTM strategies. Often an enterprises’ financial infrastructure is the cornerstone of these transformations and legacy players are being challenged on their innovation ability in a crowded and rapidly evolving space. Therefore, Stripe needs to continuously engage, educate and support this broad base of influencers to ensure they clearly understand the value and capabilities that Stripe bri

S
Stripe
📍 Singapore• Full-time
1mo ago

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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at Stripe, our mission is to ensure that company strate

pythonsqlmachine learning
View job →
S
Stripe
📍 Atlanta• Full-time
1mo ago

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 Stripe's Customer Success Managers (CSM) oversee the post-sales lifecycle for Stripe users, ensuring they realize the maximum value of their investment. This partnership drives user success, increases retention and expansion, and supports mutually beneficial renewal outcomes. Few roles provide such a direct impact on the growth of the company. What you’ll do The Customer Success Manager for Radar is a specialized scaled coverage role serving the Global CSM Team. You will work across account executives, technical account managers, ProServ, and AEPs to drive Radar adoption and deliver measurable improvements in fraud rates, dispute rates, and overall payments health. You will be the domain expert and operational backbone for Stripe’s fraud and disputes product suite (examples: Radar Standard, Radar for Fraud Teams (RFFT), Disputes, Adaptive 3DS, Smart Refunds, Radar for Multiprocessor, and Radar for Platforms, working across partners in Product, ProServ, Support, and Data Science. The ideal candidate combines deep fraud and payments risk domain expertise with strong cross-functional instincts. Responsibilities Monitor and Mitigate Risk: Identify churn signals, integration gaps, and potential Card Brand Monitoring Program (CBMP) risks to proactively initiate optimization conversations. Drive Value and Adoption: Educate users on fraud and disputes products, drive adoption of high-value features, and identify upsell opportunities Cross-Functi

machine learningaigo
View job →
S
Stripe
📍 Toronto• Full-time
1mo ago

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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. The Link Data Science team at Stripe is the dedicated data science and analytics partner for Link - currently with a strong product market fit in offering one-click checkout to shoppers who shop across Stripe’s merchant network, trusted by more than 300M users. The Link team has an exciting roadmap to launch consumer-friendly features to make Link the best way to spend, while continuously generating conversion uplift to our merchants. We are hiring for two data scientists dedicated to: Local Payment Methods - We want to enable consumers across the globe to be able to pay using their preferred local payment method like UPI, PIX etc. This allows me

pythonsqlmachine learning
View job →
S
Stripe
📍 Dublin• Full-time
1mo ago

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 Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams. You’ll play a key role in understanding, growing, and optimising our LPM business, leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experime

pythonsqlmachine learning
View job →
O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems. You might thrive in this role if you: Have at least 3 years of professional software engineering experience. Have experience setting up and maintaining production backend services and data pipelines. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Are self-directed

pythonawsazure
View job →

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

awsrestai
View job →
O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role As a Support Vendor Manager, you will own the health, performance, and long-term scalability of multiple support partner and vendor relationships. This is a vendor leadership role first and foremost: you will drive commercial and operational accountability (SLAs, QBRs, escalation paths, remediation plans), while also building the operating model that enables support to scale without linear headcount growth. You’ll collaborate closely with User Operations teams (e.g., Trust & Safety, Fraud & Risk), Systems/Tooling, Data partners, and Product/PM stakeholders as we launch new workflow and launch and scale new programs. You’ll be responsible for: End-to-end vendor leadership: Own day-to-day oversight, relationship health, and executive-level accountability for multiple support vendors/BPOs. Performance management & remediation: Define and manage SLA/KPI performance expectations, run WBRs/QBRs, identify performance gaps, and drive structured turnaround plans with clear owners and timelines. Escalation and risk management: Serve as the primary escalation point for vendor issues, including incident response, surge events, quality regress

awsrestai
View job →

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Sr. Software Engineer, Security Foundations Build the future of data and AI. Join the Snowflake team. The Anti-abuse team at Snowflake is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform. You will have the opportunity to help set the direction of the roadmap and build foundational security primitives while working closely with other teams at Snowflake. As an Anti-Abuse Software Engineer , you will design and build necessary software solutions within a multi-cloud env. across a wide range of problem areas that proactively protect our platform and users from adversarial threats. You will build and scale solution and mitigation frameworks to combat fraud, account takeovers (ATO), data exfiltrations and AI security threats, tackling the most complex engineering challenges of Snowflake’s hyper-growth. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. Responsibilities Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud

javascriptpythonjava
View job →

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Monetization team: Snowflake Marketplace serves as the vibrant hub which enables customers to do more with data. We are building a platform that empowers organizations to seamlessly discover, access, and build with datasets, applications, and AI agents. The monetization team owns the commerce layer of the Snowflake Marketplace — building the end-to-end transactional infrastructure and buyer/seller experiences that power how data and AI products are priced, purchased, and settled across Snowflake's global ecosystem. AS A SENIOR FULLSTACK ENGINEER YOU WILL: Build and own end-to-end full-stack features — from polished React-based checkout and billing UIs to the backend services that process, validate, and settle marketplace transactions at scale Design and implement robust backend APIs and services in Java or Python that handle the lifecycle of commercial transactions: entitlements, metering, invoicing, and payment orchestration Develop reusable, accessible React component libraries and frontend systems that give buyers and sellers clear visibility into usage, spend, and revenue — working closely with design to deliver intuitive experiences Contribute to the reliability, correctness, and observability of high-stakes transactional pipelines — including fraud preventio

typescriptpythonjava
View job →
PE
Private Employer
📍 Uttar Pradesh, India• Full-time
1mo ago

About Team : The Internal Audit team at Paytm comprises seasoned professionals with diverse skill sets and experience across different verticals like process audits, technology audits and forensics. The team focuses on implementing the approved audit plan, ensuring delivery of qualitative audits and conducting internal / special reviews while leveraging technology & data analytics and gauging key risks across business processes. Manager – Internal Audit (6–8 Years Exp) Role Overview: As a Manager, you will be a strategic partner to the business. You won’t just be "checking boxes"; you’ll be designing the audit framework for complex ecosystems like UPI, Wallet, and Lending. You will lead teams and interface directly with Senior Leadership. Key Responsibilities ●Audit Strategy: Develop and execute an annual risk-based audit plan focusing on high-growth business units. ● Stakeholder Management: Act as the primary point of contact for Department Heads, explaining risk implications and negotiating remediation plans. ● Process Engineering: Evaluate the effectiveness of internal controls ($ICFR$) and suggest automation to move from manual testing to continuous monitoring. ● Team Leadership: Supervise 2–3 Assistant Managers/Associates, ensuring high-quality documentation and timely delivery. ● Special Investigations: Lead / perform ad-hoc investigations or fraud risk assessments as required. ● Execution: Conduct end-to-end audits of various functions (Operations, HR, Finance, or Tech) under the guidance of the Manager. ● Fieldwork: Perform walkthroughs, test of effectiveness ($ToE$), and document audit findings with clear "Cause and Effect" analysis. ● Cross-Functional Collaboration: Partner with cross-functional teams to gain deep insights into critical business processes, identify risks, and evaluate the adequacy of internal controls. ● Reporting: Prepare and present clear, concise audit reports to senior management and stakeh

sqlgitai
View job →
PE
1mo ago

Role: Affiliate & B2B Customer Acquisition – Paytm Money (PML) About Us: Paytm is India’s leading payments Super App, offering consumers and merchants a wide range of financial services. A pioneer of the mobile QR payments revolution, Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology-led financial inclusion. Paytm Money is the wealth-tech arm of Paytm, enabling users to invest in mutual funds, equities, and derivatives seamlessly. Owned by One97 Communications, founded by Vijay Shekhar Sharma, the company is headquartered in Noida and backed by leading global investors. Role Overview: We are looking for an experienced Affiliate Marketing leader to build and scale the affiliate and partnerships growth channel for Paytm Money. This role will own the end-to-end affiliate charter across mutual funds, equities, and derivatives, driving high-quality user acquisition through publishers, partners, and performance networks. The ideal candidate will bring deep expertise in affiliate ecosystems—especially within broking, fintech, or wealth platforms—and will focus on scaling this channel efficiently with strong ROI and quality metrics. Key Responsibilities Affiliate Strategy & Channel Ownership: Own and drive the affiliate marketing strategy across all investment products. Build a scalable affiliate engine leveraging networks, direct publishers, and strategic partnerships. Manage budgets, payouts, and ROI. Partner Acquisition & Ecosystem Building: Onboard and manage affiliate partners including content platforms, fintech aggregators, influencers, and broker comparison platforms. Build strong publisher relationships and unlock new partnerships. User Acquisition & Quality Control: Drive high-quality acquisition (demat accounts, SIPs, active traders) while monitoring traffic quality, conversion rates, and fraud. Ensure alignment with long-term LTV and retention Campaign Management & Optimization: Launch and optimize campaigns

🔔

Get new fraud intelligence lead jobs by email

Daily job updates · Unsubscribe anytime