Analyze large-scale behavioral, transactional, and interaction data to uncover fraud signals.
Develop monitoring frameworks and dashboards to respond swiftly to emerging fraud threats.
Evaluate AI review agent quality and partner with Machine Learning to improve model features.
Extend provides AI-driven post-purchase solutions for retailers, including fraud detection, automated customer service, returns, and product protection. They work with over 1,000 merchant partners, are backed by prominent tech investors, and are headquartered in downtown San Francisco.
Leverage advanced data analytics to independently derive insights and optimize risk, growth, and business strategies across products and geographies.
Monitor portfolio performance and macroeconomic trends, proactively adjusting strategies to balance growth and risk mitigation.
Partner with Engineering and Machine Learning teams to build and interpret metrics for scalable risk, fraud, or growth models.
Affirm is a financial technology company offering clear, predictable pay-over-time solutions with no hidden fees. It is a remote-first public company that values transparency, flexibility, and a culture of learning and documentation.
Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals.
Build machine learning models for fraud detection across account opening, account takeover, and identity risk.
Write clean, well-tested code and work with engineering to bring models and features into production.
Experian is a global data and technology company operating across financial services, healthcare, automotive, and more. They have a team of 25,200 people in 32 countries and a people-first, inclusive culture.
Oversee credit portfolio performance, monitor losses, and optimize profitability.
Evaluate high-value merchant credit facilities at scale and automate monitoring.
Use SQL/Python for hands-on data analysis and present insights to stakeholders.
This is a mission-driven fintech focused on expanding access to innovative financial solutions for small and medium-sized businesses in Latin America. The company operates in a fast-paced, international environment with a startup-style culture that values ownership, autonomy, and collaboration.
Lead the Fraud & Disputes Risk team, developing strategies across authorised, unauthorised, first-party fraud, and disputes specialisms.
Build strong relationships with Product, Engineering, Data, and Operations to design effective fraud controls, investigation processes, and reporting.
Champion a positive team culture, mentor team members, and ensure key fraud initiatives stay on track.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and more. With over 10 years in the UK and a growing team, they are known for their customer-centric approach, award-winning service, and innovative financial products.
Own and clean the data foundation: integrate external credit, bank, and tax data with engineering.
Develop underwriting criteria, credit limits, and portfolio monitoring using SQL and Python.
Build dashboards, early-warning signals, and collection insights to reduce losses.
Jeeves is a stablecoin-native banking platform for global enterprises offering cards, payments, and treasury. With thousands of customers across 35 countries and $400M+ funding, it's a high-growth, relentless culture.
Lead the anti-fraud product roadmap, developing systems to detect and prevent fraud across the customer lifecycle.
Collaborate with Trust & Safety, Payments, Risk, Data Science, and Engineering to turn risk problems into scalable solutions.
Own risk rules, scoring systems, and monitoring tools to balance security with customer experience.
They build large-scale cloud infrastructure that powers the global AI economy. They operate in a fast-moving, international environment that values autonomy, ownership, and cross-functional collaboration.
Investigate accounts for fraudulent activity and analyze MMP and partner network data to identify invalid and fraudulent behavior.
Track fraud trends across apps using SQL and spreadsheets to detect patterns like multi-accounting, device farms, and AI-driven fraud.
Work cross-functionally with risk, product, data, and engineering teams to build rules and safeguards that protect legitimate users.
Wing is on a mission to redefine the future of work by helping companies build world-class teams and automate their operations. The company offers job security, paid training, and an inclusive culture with opportunities for career growth and upskilling.
Lead and develop a team of fraud analysts, managing performance and serving as an escalation expert for complex attacks.
Own and improve investigation standards, playbooks, and tools for incident response, case review, and rule design.
Partner with Data Science, Product, and Engineering to turn fraud findings into scalable model and product improvements.
Signifyd helps merchants grow confidently by providing fraud prevention and frictionless shopping experiences, protecting revenue and customers. With thousands of merchants across 100+ countries and billions of transactions processed securely each year, the company is purpose-driven and values empathy, creativity, and collaboration.
Develop deep expertise in fraud patterns across customer traffic.
Improve long-term fraud detection quality across DataDome's product line.
Handle customer requests for fraud case analysis and reporting.
DataDome provides real-time bot and agent trust management, giving businesses full visibility and control over all web traffic. It is an international, customer-focused company trusted by enterprises like Etsy, PayPal, and Soundcloud.
Perform independent model validations and reviews across credit, fraud, BSA/AML, CECL, finance, liquidity, and pricing.
Assess model risk and materiality, maintain the model inventory, and review monitoring plans.
Partner with Data and AI Governance teams and support regulatory exams and Internal Audit reviews.
Mercury is a financial technology company that provides banking services through partner banks. The company is scaling rapidly and fosters a fast-moving, collaborative culture that values diversity and belonging.
Leading independent validation across Monzo's credit model portfolio, ensuring models are fit for purpose and well governed.
Reviewing and challenging key credit risk assessments, including impairment, ICAAP, and stress testing, using independent analysis.
Improving the Model Risk Framework and writing clear validation reports for committees.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and pensions. With a long history of creating magical customer moments and award-winning service, Monzo has a growing team and a culture focused on innovation and financial education.
Serve as primary risk point of contact for card issuer side risk, including BIN fraud, transaction monitoring, and lifecycle risk control.
Design and deploy ATO risk control strategies across login, device, transaction, and account-change scenarios.
Collaborate with data and engineering teams to implement and tune risk models and rules.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume. Trusted by over 300 million users in 100+ countries, we are a remote-first, results-driven organization focused on increasing the freedom of money.
Analyze complex credit data to uncover insights and trends that inform lending product decisions.
Monitor and optimize credit risk KPIs to balance growth and risk mitigation.
Collaborate with product teams and present actionable recommendations to senior management.
Tide helps SMEs save time and money with business banking and administrative solutions. With over 2 million members and 3,000 employees, it's a Great Place to Work-certified fintech.
Lead the product vision and roadmap for fraud detection, identity verification, and authentication.
Collaborate with engineering, operations, and legal teams to develop scalable fraud prevention solutions.
Leverage AI and automation to improve detection accuracy and reduce customer friction.
The company specializes in fraud prevention and identity verification products for financial technology organizations. It is a remote-first company that values autonomy, technical collaboration, and measurable business impact, fostering an inclusive work environment.
Own the credit product strategy and roadmap for credit signals, risk scores, and decisioning tools.
Engage directly with banks, NBFCs, and fintech lenders to translate their underwriting and collections challenges into product opportunities.
Collaborate with data science and engineering teams to launch scalable, API-first credit products and monitor their performance.
They build credit risk products that help lenders assess, price, and monitor borrowers across the full credit lifecycle. They are a fast-growing, globally distributed team with a culture focused on performance, ownership, and impact.
Lead Bank Charter Readiness and regulatory programs across Fraud, Disputes, and Risk UX, translating expectations into work plans.
Own goal tracking, reporting, and operational quality reviews for Fraud and Disputes, including OKRs and dashboards.
Use data and AI to drive continuous improvement and build durable programs from zero to one.
Mercury is a fintech company building a complete financial stack for startups. It values diversity and belonging and is an Equal Employment Opportunity employer.
Own fraud strategy and execution across application, transaction and account takeover fraud for Wealthsimple's card products.
Manage the card fraud loss budget as volumes grow, and guard against the fraud attacks that can blow a budget up.
Design, backtest, ship and tune detection rules, and set decision thresholds on ML risk scores.
Wealthsimple is Canada's leading financial innovator, offering a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. The company serves more than 4 million Canadians, holds over $155 billion in assets under administration, and is headquartered in Toronto with over 1,500 employees across North America.
Build machine learning models for fraud detection using multiple sources of evidence.
Analyze large-scale datasets to discover patterns, relationships, and new signals.
Collaborate with product, fraud experts, and data engineering to ship production-ready ML.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, trusted by over 7,500 organizations worldwide. Headquartered in San Diego with operations globally, the company fosters a Virtual 1st culture with flexibility, collaboration, and a mission to 'Protect What's Real.'