Data Scientist II responsible for mining big data to discover actionable fraud insights for Canadian Fraud Performance Management Team. Driving change and managing evolving fraud threats in a fast-paced environment.
Responsibilities
Develop and deploy product and channel-specific fraud strategies to reduce fraud risk balancing loss, Customer experience and operational capacity
Identify new fraud vectors and optimize existing rules using SQL, Python, and fraud authentication solutions
Conduct intra-day and weekly monitoring across products, channels, and risk segments
Provide ad-hoc analysis to support decision-making at the executive level
Continually optimize, improve, and strengthen fraud strategy and analytics capabilities
Independently investigate new, high-risk fraud threats under tight timelines
Requirements
Advanced proficiency in SQL, Python for data analysis, automation, and reporting
2+ years of hands-on experience in an analytical capacity
Motivated to constantly strive to find innovative data-informed ways to enhance capabilities
In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent
Ability to communicate strategy analysis to both technical and non-technical team members
Passion and drive to take initiative and work independently under tight timelines
Ability to effectively manage multiple work streams and tasks at the same time
Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or statistics)
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