Found Description
Requirements
Hands on experience in data science with a strong focus on financial crime, AML, or fraud detection, and a demonstrated ability to lead teams while remaining an active hands‑on contributor
Strong track record of delivering production machine learning models in complex, large‑scale environments, with the ability to operate across the full lifecycle from problem framing through deployment and performance evaluation
Strong programming proficiency in Python, with hands‑on experience working with large‑scale datasets and distributed data platforms
Highly autonomous and outcome‑focused, with the ability to operate effectively in ambiguous environments and influence across both technical and non‑technical stakeholders
Strong stakeholder management skills, with proven ability to work effectively across Product and Experience leading engineering teams and translating complex technical work into clear direction and outcomes
Excep...
Hands on experience in data science with a strong focus on financial crime, AML, or fraud detection, and a demonstrated ability to lead teams while remaining an active hands‑on contributor
Strong track record of delivering production machine learning models in complex, large‑scale environments, with the ability to operate across the full lifecycle from problem framing through deployment and performance evaluation
Strong programming proficiency in Python, with hands‑on experience working with large‑scale datasets and distributed data platforms
Highly autonomous and outcome‑focused, with the ability to operate effectively in ambiguous environments and influence across both technical and non‑technical stakeholders
Strong stakeholder management skills, with proven ability to work effectively across Product and Experience leading engineering teams and translating complex technical work into clear direction and outcomes
Excep...