Director, Data Scientist - Cyber Analytics-R-244933

Mastercard; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Director of Cyber Analytics to lead a data science team in Toronto. This role focuses on developing insights and products to combat fraud, requiring strong analytical and leadership skills. The ideal candidate will have an advanced degree and experience with big data technologies. Join us to make a significant impact in the digital payments landscape.

Qualifications

• Experience analyzing large datasets to identify trends and insights.
• Advanced degree in a quantitative discipline preferred.

Responsibilities

• Lead a team focused on data science and AI model development.
• Develop analytical pipelines to prevent fraud.
• Create analytical dashboards for fraud information.

Skills

Data Analysis

Problem Solving

Communication

Leadership

Creativity

Education

Advanced degree in a quantitative discipline

Tools

Python

R

SAS

Spark

Hadoop

Netezza

Oracle

Job description

Director, Data Scientist - Cyber Analytics-R-244933

Join to apply for the Director, Data Scientist - Cyber Analytics-R-244933 role at Mastercard.

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart, and accessible. Our technology, innovation, partnerships, and networks combine to deliver unique products and services that help people, businesses, and governments realize their greatest potential.

Role Overview

The Director of Cyber Analytics will lead our data science team in Toronto, focusing on developing and delivering actionable insights and products to reduce fraud for issuers, acquirers, and merchants. Responsibilities include:

1. Leading a team focused on data science, AI model development, and integration of fraud and cyber threat data sources.
2. Developing analytical pipelines to identify at-risk merchants and cards early to prevent fraud.
3. Improving fraud measurement methodologies for increased accuracy.
4. Creating analytical dashboards for internal and external fraud information and benchmarks.

Candidate Profile

We seek a highly motivated individual with strong customer relationship management and problem-solving skills. The candidate should be self-driven, achievement-oriented, curious, and capable of leading a team of data scientists using the latest technologies.

Technical Skills

• Experience analyzing large datasets to identify trends and insights.
• Proficiency with statistical tools such as Python, R, SAS.
• Experience with Python and Spark for data manipulation.
• Ability to present insights clearly to management and clients.
• Experience with big-data platforms (e.g., Hadoop, Netezza, Oracle).
• Familiarity with UNIX and working across multiple languages and operating systems.

Business Skills

• Strong communication, collaboration, and leadership skills.
• Subject matter expertise in payments, fraud, or related fields, or ability to quickly learn new areas.
• Creativity, curiosity, and innovation in problem-solving.
• Experience in developing new products/services and working across disciplines.
• Ability to articulate analysis results effectively both verbally and in writing.

Educational Requirements

• Advanced degree in a quantitative discipline (e.g., Data Science, Mathematics, Statistics, Computer Science, Engineering) preferred.
• Relevant coursework or demonstrated experience in data analysis, machine learning, and visualization.

Mastercard is an equal opportunity employer committed to diversity and inclusion. For accommodations during the application process, contact [e-mail].

Security Responsibility

All employees must adhere to Mastercard’s security policies, ensure confidentiality, report violations, and complete mandatory security training.