Data Scientist

JOB DESCRIPTION

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.

REQUIRED SKILLS AND EXPERIENCE

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.

NICE TO HAVE SKILLS AND EXPERIENCE

Experience with SAS for model development and validation.

Knowledge of risk and market risk, particularly in the context of financial services.