Data Scientist, Fraud Detection

Desjardins; Montreal West; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary & annual bonus

4 weeks of flexible vacation

Defined benefit pension plan

Group insurance including telemedicine

Health & telework expense reimburse.

Eligibility-based benefits

Job summary

Desjardins in Montreal West is seeking a data analytics professional to design models and strategies for detecting transactional fraud. You will analyze active fraud schemes and deploy mitigation tools to production, building dashboards and reports to monitor performance.

The role requires a Bachelor’s degree, at least four years of analytics experience with transactional data, and proficiency in Python or R, SQL, and cloud platforms.

Qualifications

• Bachelor's degree in a related field; other combinations may be considered.
• Minimum four years of relevant analytics experience with transactional data.
• Experience with analytics on cloud platforms (IBM Cloud Pak for Data, Azure).
• Proficiency in Python or R and data science libraries (scikit-learn, pandas, Matplotlib, NumPy, SciPy).
• Proficiency in SQL and GitHub.
• French language proficiency required.

Responsibilities

• Design models and strategies to detect transactional anomalies.
• Analyze and synthesize information to understand fraud schemes.
• Test and deploy fraud mitigation models and tools into production.
• Develop dashboards and data visualizations; generate reports.
• Monitor fraud patterns and model performance; provide ad hoc advice.

Skills

Python

R language

SQL programming

PySpark

Shiny

RStudio

Databricks

Pandas

NumPy

Matplotlib

SciPy

GitHub

Azure

French language

Education

Bachelor's degree in a related field

Tools

IBM Cloud Pak for Data

Microsoft Azure

Apache Spark / PySpark

Shiny

RStudio

Databricks

GitHub

Job description

Required

• Design models and strategies to quickly detect transactional anomalies
• Explore, analyze and synthesize information to understand the characteristics of active fraud schemes
• Test the theoretical performance of fraud mitigation models, rules and tools
• Deploy fraud mitigation models, rules and tools into production
• Develop strategies for detecting transactional fraud
• Continuously monitor fraud patterns and how well models and strategies are performing
• Research and develop predictive variables to improve fraud detection
• Develop, update and produce dashboards, data visualizations and various reports
• Optimize and automate key fraud detection analytics processes
• Provide ad hoc advice on projects to improve fraud risk management tools
• Serve as an ad hoc advisor to the risk management teams and business sectors in your field
• Monitor the industry to understand and anticipate trends in your field in order to develop and update best practices for the organization.

Temporary position for 12 months.

What we offer

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment
• Benefits apply based on eligibility criteria.

What You Bring To The Table

• Bachelor's degree in a related field
• A minimum of four years of relevant experience
• Please note that other combinations of qualifications and relevant experience may be considered
• Experience in analytics with transactional data
• Experience working with cloud platforms such as IBM Cloud Pak® for Data or Microsoft Azure
• Experience with Apache Spark (via PySpark), Shiny, RStudio and Databricks
• Knowledge of French is required
• Proficiency in Python or R programming
• Proficiency in data science libraries and their limitations, including scikit-learn, pandas, Matplotlib, NumPy and SciPy
• Proficiency in SQL programming
• Knowledge of GitHub

Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)