
Machine Learning Engineering Manager, Credit & Underwriting
Adyen · San Francisco
Job description
This is Adyen. Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products About the Role The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x. We’re looking for an enthusiastic, self-driven Engineering Manager to lead the Credit Risk Modeling team. You will lead the team that design, productionize, and operate machine learning models and rule-based decision systems that power credit products. Your team will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement.. As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of machine learning scientists and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen. In this role, you will: Lead the Credit Risk Modeling team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance. Work cross-functionally with Design, Product, Data Engineers, Product engineers, Credit Ops and other key stakeholders. Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions. Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. Collaborate with different teams to design and implement new pipelines/services with reliability/infra/data/dev in mind. Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager. Create an inspiring and collaborative team environment with an open communication/feedback culture. Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. Recruit new team members who align with the Adyen culture and required skills. Who You Are: You have proven experience working with, and deep understanding of machine learning products. You are an energetic self-starter experienced in creating alignment between multiple teams. You are able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems. You have experience in coaching and mentoring engineering talent. You have experience in leading technical projects in a fast paced and critical environment. You have experience collaborating with senior leadership to set strategic direction including product roadmaps. You are an excellent communicator and team player who can inspire others around them. You can clearly communicate technical concepts to non-engineers. Minimum Qualifications: <u
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