Fraud Strategy Analyst

Ramp; Canada; Hybrid; CAD 172,000 - 203,000; Full time

Job summary

A leading tech company in Canada is looking for a Fraud Risk Manager to develop policies using data analytics, collaborate with various teams, and monitor fraud metrics. Ideal candidates will have at least 2 years in fraud management or quantitative strategy, with strong skills in SQL, Python, or R. The role offers great benefits and a chance for career growth within a dynamic environment. Strong communication skills are essential. Join us in making a real impact in the fintech landscape.

Benefits

Comprehensive medical, dental, and vision insurance

Flexible PTO

WFH stipend

Wellness and fertility benefits

Parental leave

Pet insurance

Qualifications

• Minimum 2 years of experience in fraud risk management or a quantitative strategy role.
• Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulation.
• Excellent written and verbal communication skills.

Responsibilities

• Leverage internal and external performance data to develop fraud policies.
• Conduct root cause analyses on individual fraud events.
• Collaborate with product, engineering, and design teams to implement fraud policies.
• Monitor fraud risk metrics by resolving risk events.
• Partner with data scientists to build and utilize fraud risk models.

Skills

Fraud risk management

SQL

Python

R

Communication skills

Job description

Why consider this job opportunity:

• Salary up to $165,450 for candidates in NYC or SF; up to $148,950 for candidates in other locations
• Opportunity for career advancement and growth within the organization
• Comprehensive benefits including 100% medical, dental, and vision insurance coverage
• Flexible PTO and WFH stipend to support your home office needs
• Significant ownership of projects with the freedom to innovate and execute ideas
• Access to wellness and fertility benefits, as well as parental leave and pet insurance

Job Responsibilities:

• Leverage internal and external performance data to develop fraud policies that create value for the employer and its customers
• Conduct root cause analyses on individual fraud events and develop data-driven fraud defenses
• Collaborate with product, engineering, and design teams to implement fraud policies and features
• Monitor fraud risk metrics by researching and resolving risk events
• Partner with data scientists to build and utilize fraud risk models in the employer’s risk policy

Qualifications:

• Minimum 2 years of experience in fraud risk management or a quantitative strategy role
• Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulation
• Excellent written and verbal communication skills

Preferred Qualifications:

• Experience in high-growth startups
• Experience within consumer/corporate/small business cards, payments, invoices, lending, or related industries

#Fintech #FraudRiskManagement #CareerOpportunity #InnovativeWorkplace #DataAnalysis

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