Machine Learning Engineer - Fraud Risk New York, NY, Remote Job at P2P in New Yo
P2P, New York, NY, United States
Location
New York, NY
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Compensation
$187K – $258.7K • Offers Equity • Offers Bonus
About the Company
Rain 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. 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 Ethos
We 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 Team
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.
What you’ll do
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis
Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring
Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams
Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback)
Build robust monitoring and alerting for model performance, latency, data quality, and drift
Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
Partner with platform teams to meet strict SLAs for availability, latency, and accuracy
Collaborate closely with talented engineers, data scientist and compliance teams across Rain
Work in a fast-paced environment on a rapidly growing product suite
Solve complex problems at the intersection of ML systems, data, and reliability
What we're looking for
5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains
A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
Proven track record designing and maintaining ML models at scale
Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling
Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems
Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques
Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale
Nice to have, but not mandatory
Domain expertise in banking, payments, or transaction monitoring
Experience with graph-based or network-level fraud detection techniques
A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)
Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts
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.
Compensation Range: $187K - $258.7K
#J-18808-Ljbffr
In Summary: The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience . We're looking for 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains . Rainmakers will receive a stipend to create a comfortable environment .
En Español: Ubicación Nueva York, NY Tipo de empleo Tipo de tiempo completo Location Type Hybrid Department Engineering Compensation $187K $258.7K • Ofrece Equity • Offers Bonus About the Company Rain hace posible la próxima generación de pagos en todo el mundo. Somos un equipo delgado y poderoso de constructores apasionados y fundadores veteranos. Nuestra infraestructura hace que las monedas estables puedan usarse en el mundo real impulsando transacciones con tarjeta, pagos transfronterizos, compras B2B, remesas, etc. Nos asociamos con fintechs, neobanks e instituciones para ayudarles a lanzar soluciones globales, inclusivas y eficientes. Lo logramos manteniendo el monitoreo de las transacciones y los eventos del ciclo de vida, creando alertas para acelerar la detección y respuesta a fraudes y creando reglas y estrategias de riesgo basadas en modelos ML. Somos un pilar del negocio, apoyando nuevos productos y garantizando su éxito. La tecnología de pago Rains de próxima generación introduce nuevos vectores de fraude que requieren un pensamiento holístico, de extremo a extremo, sólidos fundamentos de datos y conocimientos básicos en la gestión del fraude para combatirlos. Lo que usted hará Arquitecto y construir sistemas ML escalables para detectar fraudes, detección de anomalías y análisis conductual Desarrollar y mantener tuberías ML end-to-end: ingestión de datos, ingeniería de características, capacitación de modelos, implementación y monitoreo continuo Diseñar e implementar sistemas de toma de decisiones en tiempo real asociados con equipos de científicos de riesgos de fraude, integrarse con transacciones o flujos de datos comportamentales Infraestructura ML Experiencia, incluida versión de modelo, rehabilitación automática y estrategias de despliegue (por ejemplo, sombra, retroceso) Desarrollo y mantenimiento robusto Monitorización y alerta de rendimiento de los modelos de producción, latencia rápida, estadísticas adversas y cierre de las pruebas Liderando los problemas relacionados con la detección y el uso de datos avanzado, diseño de sistemas analíticos de software, desarrollo de sistemas de aprendizaje autónomos y métodos de control de seguridad, Solucionabilidad y capacidad de trabajo, desarrollando una serie de investigación más compleja para identificar y mejorar la eficacia de los casos de fraude y su funcionamiento, desarrollado por medio ambiente, crecimiento de sistemas tecnológicos y sus capacidades técnicas de desarrollo de inteligencia artificial, desarrolando sistemas de trabajo en línea avanzada, etc. Si te sientes cómodo en casa, por favor trabaja desde tu hogar. Si quieres trabajar con otras personas en una oficina, no dude en venir. Queremos que todo el mundo pueda trabajar en un entorno donde sea su ser más confiado y productivo. Nuevos Rainmakers recibirán un estipendio para crear un ambiente doméstico cómodo.
New York, NY
Employment Type
Full time
Location Type
Hybrid
Department
Engineering
Compensation
$187K – $258.7K • Offers Equity • Offers Bonus
About the Company
Rain 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. 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 Ethos
We 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 Team
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.
What you’ll do
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis
Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring
Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams
Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback)
Build robust monitoring and alerting for model performance, latency, data quality, and drift
Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
Partner with platform teams to meet strict SLAs for availability, latency, and accuracy
Collaborate closely with talented engineers, data scientist and compliance teams across Rain
Work in a fast-paced environment on a rapidly growing product suite
Solve complex problems at the intersection of ML systems, data, and reliability
What we're looking for
5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains
A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
Proven track record designing and maintaining ML models at scale
Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling
Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems
Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques
Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale
Nice to have, but not mandatory
Domain expertise in banking, payments, or transaction monitoring
Experience with graph-based or network-level fraud detection techniques
A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)
Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts
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.
Compensation Range: $187K - $258.7K
#J-18808-Ljbffr
In Summary: The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience . We're looking for 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains . Rainmakers will receive a stipend to create a comfortable environment .
En Español: Ubicación Nueva York, NY Tipo de empleo Tipo de tiempo completo Location Type Hybrid Department Engineering Compensation $187K $258.7K • Ofrece Equity • Offers Bonus About the Company Rain hace posible la próxima generación de pagos en todo el mundo. Somos un equipo delgado y poderoso de constructores apasionados y fundadores veteranos. Nuestra infraestructura hace que las monedas estables puedan usarse en el mundo real impulsando transacciones con tarjeta, pagos transfronterizos, compras B2B, remesas, etc. Nos asociamos con fintechs, neobanks e instituciones para ayudarles a lanzar soluciones globales, inclusivas y eficientes. Lo logramos manteniendo el monitoreo de las transacciones y los eventos del ciclo de vida, creando alertas para acelerar la detección y respuesta a fraudes y creando reglas y estrategias de riesgo basadas en modelos ML. Somos un pilar del negocio, apoyando nuevos productos y garantizando su éxito. La tecnología de pago Rains de próxima generación introduce nuevos vectores de fraude que requieren un pensamiento holístico, de extremo a extremo, sólidos fundamentos de datos y conocimientos básicos en la gestión del fraude para combatirlos. Lo que usted hará Arquitecto y construir sistemas ML escalables para detectar fraudes, detección de anomalías y análisis conductual Desarrollar y mantener tuberías ML end-to-end: ingestión de datos, ingeniería de características, capacitación de modelos, implementación y monitoreo continuo Diseñar e implementar sistemas de toma de decisiones en tiempo real asociados con equipos de científicos de riesgos de fraude, integrarse con transacciones o flujos de datos comportamentales Infraestructura ML Experiencia, incluida versión de modelo, rehabilitación automática y estrategias de despliegue (por ejemplo, sombra, retroceso) Desarrollo y mantenimiento robusto Monitorización y alerta de rendimiento de los modelos de producción, latencia rápida, estadísticas adversas y cierre de las pruebas Liderando los problemas relacionados con la detección y el uso de datos avanzado, diseño de sistemas analíticos de software, desarrollo de sistemas de aprendizaje autónomos y métodos de control de seguridad, Solucionabilidad y capacidad de trabajo, desarrollando una serie de investigación más compleja para identificar y mejorar la eficacia de los casos de fraude y su funcionamiento, desarrollado por medio ambiente, crecimiento de sistemas tecnológicos y sus capacidades técnicas de desarrollo de inteligencia artificial, desarrolando sistemas de trabajo en línea avanzada, etc. Si te sientes cómodo en casa, por favor trabaja desde tu hogar. Si quieres trabajar con otras personas en una oficina, no dude en venir. Queremos que todo el mundo pueda trabajar en un entorno donde sea su ser más confiado y productivo. Nuevos Rainmakers recibirán un estipendio para crear un ambiente doméstico cómodo.