We are looking for a detail-oriented and driven Intermediate Data Scientist to join our team. In this role, you will be responsible for analyzing large datasets, building AI/ML models, and extracting insights to support fraud detection and anti-money laundering (AML) efforts. You will spend a significant portion of your time working with data, manipulating it, and summarizing analysis to present results in an accessible manner to both technical and business stakeholders. This candidate will Work closely with cross-functional teams to integrate models and provide continuous monitoring and validation. As well as measure and assess the performance of models, applying statistical and probability-based techniques.
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3-5 years of experience with Python and SQL.
2+ years of experience developing AI/ML models.
Proficiency in end-to-end model development and validation.
Strong ability to manipulate and analyze large datasets to extract meaningful insights.
Experience with fraud detection and AML models, particularly involving transaction and behavioral data.
Strong presentation and communication skills to summarize and present complex analyses to both technical and business stakeholders.
Experience with SAS for model development and validation.
Knowledge of risk and market risk, particularly in the context of financial services.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.