About this role

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.

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
3+ years of experience in data science or analytics roles
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

Data Science Specialist – Financial Crime Insights

Key skills