Fraud Detection Data Scientist - Cloud Analytics & Modeling

Jobtailor; Montreal (administrative region); On-site; CAD 90,000 - 120,000; Full time

Job summary

Jobtailor in Montreal is seeking a seasoned Fraud Analytics Engineer to design models and strategies for detecting transactional anomalies and to analyze evolving fraud schemes.

You will deploy production fraud tools, monitor patterns, develop predictive variables, and create dashboards and reports that inform risk decisions across business units.

Fluency in French and strong Python or R skills are required to join a collaborative, data-driven team.

Qualifications

• Bachelor's degree in a related field.
• A minimum of four years of relevant analytics experience.
• Other combinations of qualifications and relevant experience may be considered
• Experience in analytics with transactional data
• Experience working with cloud platforms such as IBM Cloud Pak® for Data or Microsoft Azure
• Experience with Apache Spark (via PySpark), Shiny, RStudio and Databricks
• Knowledge of French is required
• Proficiency in Python or R programming
• Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy
• Proficiency in SQL programming
• Knowledge of GitHub

Responsibilities

• Design models and strategies to detect transactional anomalies
• Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
• Develop strategies for detecting transactional fraud
• Test the theoretical performance of fraud mitigation models, rules and tools
• Deploy fraud mitigation models, rules and tools into production
• Continuously monitor fraud patterns and model and strategy performance
• Research and develop predictive variables to improve fraud detection
• Develop, update and produce dashboards, data visualizations and reports
• Optimize and automate key fraud detection analytics processes
• Provide ad hoc advice on projects to improve fraud risk management tools
• Advise risk management teams and business sectors in the field
• Monitor industry trends to develop and update organizational best practices

Skills

Fraud analytics

Data analysis

Predictive modeling

Data visualization

Cloud platforms

Education

Bachelor's degree in a related field

Tools

Python

R

SQL

Apache Spark

Databricks

RStudio

Shiny

GitHub

IBM Cloud Pak for Data

Microsoft Azure

Pandas

NumPy

SciPy

Matplotlib

Job description

Jobtailor in Montreal is seeking a seasoned Fraud Analytics Engineer to design models and strategies for detecting transactional anomalies and to analyze evolving fraud schemes.

You will deploy production fraud tools, monitor patterns, develop predictive variables, and create dashboards and reports that inform risk decisions across business units.

Fluency in French and strong Python or R skills are required to join a collaborative, data-driven team.