The Senior Data Scientist will clean, validate, and preprocess client data while developing and tuning machine learning models to detect fraud. They will also collaborate cross-functionally with internal teams and key stakeholders to deliver effective risk prevention solutions.
The role involves supporting the enterprise sales team by managing commercial, security procurement, and client reporting workflows to accelerate deal velocity. Additionally, it requires generating business impact reports and building financial ROI models to demonstrate platform value to prospects and clients.
Lead a cross-functional team of risk consultants, data scientists, and business analysts to deliver fraud detection strategies and machine learning solutions for financial institutions. Manage high-impact client projects while ensuring the integration and validation of real-time analytics to meet business objectives.
Partner with sales teams to understand client needs, demonstrate the platform, design tailored identity-focused solutions, and lead technical sales discussions across Europe. Manage tenders and proposals throughout the sales process, while coordinating with Product and Delivery teams and sharing market feedback.
Partner with sales teams to understand client needs, demonstrate the RiskOps platform, and design identity-focused solutions for financial institutions. Lead technical sales discussions and RFPs, develop proposals, and share client and market insights with product and delivery teams.
Partner with sales teams to understand client needs, demonstrate the RiskOps platform, and design identity-focused solutions for financial institutions. Lead technical sales discussions and manage tenders and proposals, while sharing client insights with product and delivery teams.
Partner with sales teams to understand client needs, demonstrate the RiskOps platform, and design tailored identity-focused solutions for financial institutions. Lead technical sales discussions and formal RFPs, develop proposals, and coordinate with product and delivery teams to share market insights and support client engagements.
You will design and integrate AI agents and automated scripts to optimize quality assurance processes throughout the full software development lifecycle. You will also collaborate with engineering teams to build scalable quality systems and ensure high standards from design to deployment.
Manage a team of engineers to develop cutting-edge fraud detection and prevention capabilities while supporting their career growth. Lead technical execution, foster a culture of excellence, and collaborate with cross-functional teams to deliver scalable software solutions.
You will serve as the primary technical point of contact for resolving complex, escalated issues within the cloud-based financial crime prevention platform. This involves managing customer incidents, driving root cause analysis, and coordinating resolution efforts across engineering teams.
Design and lead multi-channel, full-funnel marketing campaigns that align with strategic growth priorities. Orchestrate cross-functional teams across product marketing, digital, content, and sales to drive awareness and pipeline acceleration.
You will be responsible for developing and maintaining the core Risk Engine, ensuring high performance and low latency for real-time fraud detection. You will also participate in an on-call rotation and drive a DevOps culture focused on automation and operational excellence.
Design and implement technical solutions to maximize the value of the Feedzai platform for enterprise customers. Lead technical activities including integrations, performance optimization, and troubleshooting across application and infrastructure layers.
The Product Manager will identify roadmap scope for fraud prevention solutions and collaborate with cross-functional teams to drive product development. They will also gather customer feedback, analyze product usage data, and work with stakeholders to align product strategy with business requirements.
You will design, build, and maintain Kubernetes operators and platform services while automating cloud infrastructure and incident response. Additionally, you will contribute to the development of deployment pipelines and improve developer experience through robust platform capabilities.
Act as a subject matter expert and trusted advisor for Fraud and Digital Trust domains to support clients and drive product prioritization. Responsibilities include monitoring KPIs, documenting research findings, and collaborating cross-functionally to deliver risk prevention solutions.
The role focuses on building automated intelligence systems and dashboards to turn operational data into actionable insights for senior leadership. You will partner with Product leaders to reduce manual overhead and implement AI-driven workflows to accelerate decision-making.
The manager will lead and mentor a high-performing team within Platform Engineering, fostering technical excellence and continuous growth while partnering with cross-functional stakeholders to define and evolve engineering best practices. Responsibilities include promoting operational excellence, focusing on automation, and ensuring the predictable delivery of platform commitments by realistically assessing team capacity.
Responsibilities include providing recommendations on capacity allocation considering cost, resilience, and performance, and working with product teams to support best practices for system performance and reliability. The role involves development using Go or Python, automating cloud infrastructure and incident response, and maintaining infrastructure as code for production environments.
As a Senior Software Engineer in the Customer Success Department, you will ensure that our products are installed and meet client requirements with integration and performance management. You will work with a project team to understand client needs and execute on those requirements.
As a Software Engineer in the Customer Success organization, you will ensure that our products are installed and meet client requirements with integration and performance management. You will work with a project team to understand client needs and execute on those requirements.
As a Software Engineer in the Customer Success organization, you will ensure that products are installed and meet client requirements, focusing on integration and performance management. You will collaborate with various teams to understand client needs and execute on those requirements.
