Fraud Ops & Data Analytics Lead

Chexy; Toronto; On-site; CAD 80,000 - 100,000; Full time

Benefits offered by this job

Mentorship from industry specialists

Innovative work culture focused on automation

Collaborative team environment

Job summary

A fintech startup in Toronto is seeking a Data & Fraud Operations Analyst to manage fraud detection and data analytics. In this dynamic role, you will monitor transactions, query datasets, and collaborate to improve fraud detection algorithms. A successful candidate has advanced SQL and Python skills, and at least 3 years of relevant experience. If you thrive in a high-energy environment and possess a knack for identifying anomalies in data, this is the opportunity for you. Join a team that values innovation and collaboration.

Qualifications

• 3–5 years of experience in data analytics or fintech.
• Basic knowledge of Machine Learning concepts.
• Proven track record of spotting fraud trends.

Responsibilities

• Monitor transaction flows to identify fraudulent activity.
• Query complex datasets to drive product decisions.
• Collaborate with engineering to optimize fraud detection algorithms.

Skills

Advanced SQL skills

Experience with Python (Pandas, NumPy)

Strong analytical skills

Experience with Power BI

Ability to identify anomalies

Effective communication skills

Education

Degree in Data Science, Statistics, Computer Science, Finance or related field

Tools

Power BI

Snowflake

Job description

A fintech startup in Toronto is seeking a Data & Fraud Operations Analyst to manage fraud detection and data analytics. In this dynamic role, you will monitor transactions, query datasets, and collaborate to improve fraud detection algorithms. A successful candidate has advanced SQL and Python skills, and at least 3 years of relevant experience. If you thrive in a high-energy environment and possess a knack for identifying anomalies in data, this is the opportunity for you. Join a team that values innovation and collaboration.