Verafin - Data Science Specialist - Financial Crime Insights

As a Data Science Specialist reporting to the Head of Product Marketing, you'll play a meaningful role in transforming proprietary financial crime data into strategic insights that demonstrate the value of Nasdaq Verafin's fraud detection and anti-money laundering solutions. 

You'll thrive in this position if you're analytical, strategic, and passionate about using data to fight financial crime while enabling business growth in a fast-paced, high-impact environment. 

Key Responsibilities 

• Analyze client deployment data to quantify solution ROI, measuring fraud losses prevented, efficiency gains, and investigation time saved. 

• Leverage consortium data from 2,700+ financial institutions to produce industry benchmark reports and peer performance comparisons. 

• Partner with sales and marketing teams to create data-driven customer success stories, case studies, and presentation materials that demonstrate product effectiveness. 

• Monitor aggregated data to identify emerging fraud trends and money laundering patterns, translating findings into thought leadership content. 

• Present analytical insights to customers and stakeholders in executive briefings, quarterly business reviews, and industry conferences. 

Required Qualifications 

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field, or equivalent practical experience. 

• 3+ years of experience in data science or analytics roles, ideally in fraud detection, AML, banking, or fintech. 

• Strong proficiency in SQL and Python (or R) for data analysis and visualization. 

• Excellent communication skills with proven ability to translate complex findings into compelling narratives for non-technical audiences. 

• Collaborative mindset with experience working across marketing, sales, and product teams in a matrixed environment. 

Preferred Qualifications 

• Deep knowledge of financial crime concepts, fraud detection methodologies, and AML compliance. 

• Experience with big-data frameworks (e.g., Spark) and cloud platforms (AWS). 

• Background in creating executive-level reports, white papers, or thought leadership content. 

This position will be located in St. John's or Toronto and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.