About Us

We're building AI-native tools that harness the power of large language models (LLMs) to help customers solve high-impact, real-world problems in financial crime compliance. Our platform integrates structured and unstructured data, enabling rapid prototyping, seamless collaboration, and fast iteration with a strong focus on end-to-end delivery.

As we scale, we’re looking for a data scientist who thrives at the intersection of research, implementation, and cross-functional collaboration — someone who can own analytical work end-to-end and contribute directly to customer-facing solutions.

What You’ll Do

• Lead data exploration and analysis on large scale financial crime datasets — including sanctions, PEP (Politically Exposed Persons), and adverse media data — to uncover patterns, identify false positives/negatives, and drive feature improvements.
• Develop and evaluate agents and rule-based models by running experiments, val...