Senior Fraud Analytics Scientist - Detection & Optimization

RBC; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A major financial institution in Toronto is seeking a Senior Data Scientist to develop and execute fraud detection strategies. The ideal candidate will have over 3 years of experience in analytics and be skilled in R, SQL, and Python. Responsibilities include implementing analytical methodologies, collaborating on machine learning projects, and optimizing fraud detection strategies. This position offers opportunities for innovation within the fraud management team.

Qualifications

• 3+ years’ experience in analytics or data science related roles.
• Strong practical knowledge of analytical software packages.
• Ability to effectively communicate analytical recommendations.

Responsibilities

• Implement advanced analytical methodologies for fraud detection.
• Collaborate on machine learning and AI projects.
• Develop and optimize fraud detection strategies.

Skills

Analytical skills

Communication skills

Critical thinking

Problem-solving

Education

Degree in mathematics, statistics, computer science or related quantitative discipline

Tools

R

SQL

Python

Hadoop

Hive

Spark

Scala

Job description

A major financial institution in Toronto is seeking a Senior Data Scientist to develop and execute fraud detection strategies. The ideal candidate will have over 3 years of experience in analytics and be skilled in R, SQL, and Python. Responsibilities include implementing analytical methodologies, collaborating on machine learning projects, and optimizing fraud detection strategies. This position offers opportunities for innovation within the fraud management team.