Staff/Senior Data Scientist, Algorithm (Risk & Fraud)

About this role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff/Senior Data Scientist, Algorithm (Risk & Fraud) in the United States.
This role sits at the core of a global risk platform team focused on detecting, preventing, and mitigating fraud across large-scale financial and payment systems. You will design and deploy advanced machine learning models that directly protect users, transactions, and digital financial infrastructure in a fast-evolving threat landscape. Working in a highly collaborative, product-driven environment, you will transform complex business challenges into scalable ML solutions that operate in real time. The position offers the opportunity to build end-to-end risk algorithms, influence platform architecture, and drive measurable business impact. You will partner closely with engineering, product, and data teams to enhance fraud detection systems at global scale. This is a high-visibility role where your work directly strengthens trust and security across international financial flows.


Accountabilities
In this role, you will develop and operationalize machine learning solutions that address complex fraud and risk challenges across global payment systems. You will own the full ML lifecycle, from problem definition to deployment and continuous improvement, ensuring models deliver strong business impact.

• Translate business and risk challenges into machine learning problems and scalable algorithmic solutions.
• Build, train, and deploy ML models using advanced feature engineering, data pipelines, and experimentation frameworks.
• Analyze risk patterns and fraud behaviors to identify system weaknesses and propose data-driven solutions.
• Develop and enhance ML platforms and tools that streamline model development and deployment workflows.
• Collaborate with cross-functional teams to integrate models into production systems and real-time risk decisions.
• Continuously monitor model p...