Tech Stack
Responsibilities
- Develop and implement advanced analytics on RiskOS data to understand user behavior, fraud patterns, and workflow effectiveness, translating findings into product and risk strategy improvements.
- Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering for robust and efficient data processing.
- Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance.
- Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt-based tools) to automate analytics and enhance RiskOS workflows.
- Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model-serving APIs, and monitoring frameworks.
Culture
Mission-DrivenImpact-OrientedCross-Functional CollaborationTransparent LeadershipInclusive Hiring
Requirements
Required: Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience
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About Socure
Industry: fintech
Size: medium
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud. They hire critical thinkers who act like owners and are driven to solve complex customer problems.
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