Fraud Analytics Data Scientist — Hybrid Role

Interac Corp.; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leader in digital payments based in Toronto is looking for a Data Scientist to enhance fraud solutions. Collaborate with fraud product teams, analyze complex data sets, and apply advanced analytics strategies. Candidates should have a degree relevant to business or mathematics, with 3+ years in the financial industry and experience in data analytics and machine learning. The compensation range is $90,000 - $120,000, plus a comprehensive benefits package, including a flexible hybrid work model.

Benefits

Generous vacation and wellness days

Comprehensive employer-paid benefits

Employer-funded RRSP program

Access to employee assistance program

Pregnancy and parental leave top-up

Charitable donation matching

Qualifications

• 3+ years of experience in the financial industry.
• 3+ years of experience in data analytics.
• 2+ years of experience using machine learning.

Responsibilities

• Collaborate with fraud product owners on fraud solutions.
• Analyze large complex data sets to solve analytical problems.
• Prepare documentation for knowledge transfer and regulatory concerns.

Skills

Data analytics

Machine learning

Mathematics

Communication

Problem resolution

Education

Degree in Business, Mathematics, Science, or Statistics

Tools

SQL

Python

Oracle

Spark (PySpark)

Redshift

Job description

A leader in digital payments based in Toronto is looking for a Data Scientist to enhance fraud solutions. Collaborate with fraud product teams, analyze complex data sets, and apply advanced analytics strategies. Candidates should have a degree relevant to business or mathematics, with 3+ years in the financial industry and experience in data analytics and machine learning. The compensation range is $90,000 - $120,000, plus a comprehensive benefits package, including a flexible hybrid work model.