Data Scientist, Fraud Analytics - Hybrid

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

Job summary

A leading financial technology firm in Toronto is seeking a Data Scientist to analyze complex data and solve fraud-related challenges. You will work collaboratively with product owners and developers to deploy effective solutions while also improving current analytics. The successful candidate should have substantial experience in data analytics, machine learning, and problem-solving. We offer a competitive salary of $90,000 - $120,000, along with a strong employee benefits package and a hybrid work model.

Benefits

Generous vacation

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.
• 2+ years of experience using machine learning.
• Significant experience in predictive modeling and quantitative problem solving.

Responsibilities

• Collaborate with fraud product owners and developers to deploy fraud solutions.
• Analyze large complex data sets and solve non-routine analysis problems.
• Prepare documentation to satisfy governance and regulatory concerns.

Skills

Data analytics

Machine learning

Mathematics

Problem resolution

Communication

Database knowledge

Education

Degree in Business, Mathematics, Science, or Statistics

Tools

SQL

Python

Oracle

HDFS

Spark

Cloudera

Jupyter

Github

AWS

Job description

A leading financial technology firm in Toronto is seeking a Data Scientist to analyze complex data and solve fraud-related challenges. You will work collaboratively with product owners and developers to deploy effective solutions while also improving current analytics. The successful candidate should have substantial experience in data analytics, machine learning, and problem-solving. We offer a competitive salary of $90,000 - $120,000, along with a strong employee benefits package and a hybrid work model.