About the CompanyRain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk. Our EthosWe believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the TeamThe fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain’s next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat. What you’ll do - Own the metrics, dashboards, and reports that inform business strategy and decision-making - Design and implement real-time monitoring systems for fraud signals and alerting thresholds - Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models - Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement - Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers - Effectively summarize complex analytical results to leadership and non-technical stakeholders - Assist partners when they have fraud concerns with their traffic What we're looking for - Advanced proficiency in SQL and Python - 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models - Skilled in designing, building, and maintaining dashboards and fraud risk metrics - The ability to manage ambiguous problems and find solutions - High autonomy, including the ability to prioritize your workload effectively - Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.) Nice to have, but not mandatory - Experience at a high-growth fintech company or financial services company - Exposure to customer-facing or GTM-facing analytics or fraud issue triaging - Background in identity risk, AML, payments fraud, or compliance analytics - Fluency in AI-assisted data analysis / data science tooling Things that enable a fulfilling, healthy, and happy experience at Rain: - Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. - Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you’d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. - Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. - Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. - Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. - Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. - Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! - Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

• Design, implement, and lead the rollout of a pragmatic, scalable, and adaptable enterprise Data Governance Framework. • Develop supporting policy and standards architecture (e.g., data classification, metadata management, data access and usage policies). • Embed governance by design into data pipelines, platforms, and data product development. • Lead the creation, approval, and adoption of data policies in close collaboration with Legal, Privacy, Security, GRC, and the Data Team. • Ensure alignment of governance policies with regulatory and contractual requirements (e.g., GDPR, CCPA, internal risk policies). • Develop control frameworks to assess compliance and maturity across data domains. • Establish enterprise-wide data quality standards, metrics, and processes for issue detection and remediation. • Empower domain-aligned data stewards and owners by providing guidance, training, and governance tools. • Champion accountability and ownership of key data elements across the organization. • Collaborate with business unit leaders, product managers, and engineers to operationalize governance policies across systems and workflows. • Drive adoption of governance principles across federated data teams through forums, working groups, and training. • Clearly articulate the business value and regulatory importance of data governance to technical and non-technical stakeholders. • Support change management initiatives to increase understanding, adoption, and integration of governance practices into daily operations. • Lead the Data Governance Council and Data Steward Forums to sustain engagement and drive accountability. • Recommend and support the implementation of data governance tooling (e.g., catalog, lineage, glossary, policy manager) in partnership with the Data Team. • Define and track KPIs to assess framework rollout progress, data quality trends, and policy adoption.

• Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure • Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches • Design and maintain feature engineering pipelines for model development • Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain • Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

Role Description Estamos buscando uma pessoa com experiência em Ciência de Dados e perfil de pesquisa para desenvolver novas soluções e expandir a oferta da Incognia no mercado. Procuramos alguém com base técnica sólida, experiência prévia em pesquisa e capacidade de aprender rapidamente. Essa pessoa atuará em problemas complexos, muitas vezes novos ou ainda pouco estruturados, transformando perguntas abertas em hipóteses, experimentos e soluções baseadas em dados. O time de Data Science tem um papel central no desenvolvimento da plataforma de identidade da Incognia. Trabalhamos com grandes volumes de dados para investigar comportamentos, identificar padrões e criar tecnologias que reduzam fraude e fricção em jornadas digitais, como criação de contas, login e pagamentos. Nesta posição, você terá a oportunidade de conduzir projetos de pesquisa aplicada, explorar novas abordagens e desenvolver modelos, sinais e heurísticas com impacto direto nos produtos da empresa. Dia a dia da posição: - Investigar problemas relacionados a fraude, identidade e fricção enfrentados pelos clientes da Incognia; - Transformar problemas pouco estruturados em perguntas de pesquisa, hipóteses e planos de experimentação; - Propor e desenvolver soluções utilizando análise de dados, heurísticas, métodos estatísticos e modelos de aprendizagem de máquina; - Realizar análises exploratórias para identificar tendências, padrões, relações e irregularidades nos dados; - Planejar e executar experimentos para validar hipóteses e avaliar novas abordagens; - Pesquisar técnicas, modelos e tecnologias que possam ser aplicados aos desafios da Incognia; - Analisar e solucionar problemas relacionados à qualidade, consistência e desempenho dos dados; - Definir métricas e avaliar a efetividade das soluções desenvolvidas; - Monitorar o desempenho de modelos e soluções em produção, identificando oportunidades de melhoria; - Documentar metodologias, experimentos, resultados e aprendizados; - Trabalhar em colaboração com profissionais de Data Science, Data Engineering, Backend, Produto e Negócios para implementar e validar as soluções propostas; - Comunicar resultados técnicos e suas implicações de forma clara para diferentes públicos. Qualifications - Graduação em Ciência da Computação, Engenharia ou áreas relacionadas; - Experiência prévia com Ciência de Dados, aprendizagem de máquina ou pesquisa aplicada; - Base sólida em estatística, análise de dados e métodos experimentais; - Conhecimento de metodologia científica e experiência na formulação e validação de hipóteses; - Experiência com ferramentas de processamento e análise de dados, como Spark, Python e SQL; - Inglês avançado para leitura, escrita e comunicação técnica. Requirements - Pesquisa acadêmica, mestrado ou doutorado em Ciência da Computação, Engenharia ou áreas relacionadas; - Experiência com inteligência artificial, deep learning, embeddings ou modelos generativos; - Experiência com grandes volumes de dados e sistemas distribuídos; - Experiência com prevenção a fraudes, identidade digital, segurança ou análise comportamental; - Experiência com desenvolvimento para navegadores, tecnologias web, redes de computadores ou SDKs. Benefits - Contratação CLT; - Confira nossos benefícios em nosso Candidate Book. Company Description A Incognia é a empresa inovadora em soluções de identidade de última geração que possibilitam experiências digitais seguras e sem fricção. Com sua solução persistente de identificação de dispositivos, a Incognia combina sinais de reconhecimento de dispositivo de excelência e à prova de adulteração e análise de localização para verificação de usuários e prevenção de fraudes. As avaliações de risco personalizáveis e insights acionáveis da Incognia permitem que empresas de serviços financeiros, plataformas de delivery e da economia compartilhada e marketplaces protejam sua reputação, retenção de clientes e receita. Para mais informações, visite Incognia.com/pt.