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About the Role

The Pay, Integrity & Identity (PII) Analytics team at Lyft is crucial for ensuring trust and safety for all customers, protecting the company, and enabling sustainable growth. This fast-paced team meticulously diagnoses emerging fraud patterns and prevents fraud loss by conducting rigorous analysis of complex data sets and implementing business rules, models, and processes. The Senior Analyst will investigate and develop solutions to prevent and mitigate third-party fraud, proactively identify fraud patterns, and minimize financial and reputational risk. This role requires a quantitatively driven, detail-focused individual experienced in utilizing data analytics and business knowledge to formulate response plans, collaborating closely with Product Managers, Data Scientists, Engineers, and Operations teams.

Responsibilities

Develop, implement, and improve comprehensive fraud detection strategies, real-time fraud rules and models.
Support cross-functional teams in building critical dashboards and tools to measure the effectiveness of payment processes, operations, and new programs.
Collaborate with Product Management, Data Science, Engineering, and Operations to resolve identity or integrity issues and other escalations.
Communicate complex information verbally and in writing to audiences at all levels, including executive leadership, partners, and individual contributors.
Report overall status, primary business metrics, key issues, and solution recommendations to senior management and executives.
Establish business cases and projected ROI on investments to prioritize fraud program opportunities.
Deliver enhancements to Lyft's fraud detection and mitigation strategies, communicating and prioritizing development with product management and engineering teams.
Create robust and customer-friendly policies to reduce user friction while balancing fraud loss.

Requirements

5+ years of experience in payment, marketplaces, e-commerce, retail, digital media, or financial services industries. Fraud, payments, or Identity experience is preferable, especially in the merchant risk domain. (8+ years experience for Senior)
Bachelor’s degree in a quantitative field or relevant work experience.
Expertise in SQL, Python, or other programming languages for data querying and analysis.
Demonstrated bias towards action in resolving issues and performing in a high-energy, fast-paced environment.
Ability to execute projects independently with minimal oversight.
Strong communication skills; ability to clearly articulate complex analysis through presentations and writing.
Ability to prioritize competing projects among departments and effectively work with multiple teams to build new capabilities and implement projects.
Effectively manage senior executive asks and provide written and verbal communication.
Ability to 'Dive Deep' with a structured approach to problem-solving.
Excellent cross-group collaboration skills, with the ability to impact and influence outcomes in a matrixed environment.
Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines.

Skills

Fraud detection strategies
Real-time fraud rules
Data analysis
SQL
Python
Communication
Problem-solving
Collaboration
Project management

Location

Toronto area

Work Type

Hybrid
In-office (at least 3 days per week)
Remote (up to 4 weeks per year)

Experience Level

Senior

Education Level

Bachelor's degree in a quantitative field or relevant work experience

Salary/Compensations

CAD $96,000 - CAD $120,000

Benefits

Extended health and dental coverage options
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Lyft funded Health Care Savings Account
RRSP plan with company match
Flexible paid time off policy (salaried team members)
15 days paid time off (hourly team members)
18 weeks of paid parental leave (top-up plan)
Subsidized commuter benefits
Lyft ride credits

About the Company

Lyft's purpose is to serve and connect.
Lyft cultivates a work environment where all team members belong and have the opportunity to thrive.
Trust and confidence are fundamental to the Lyft marketplace.

Equal Opportunity

Lyft is committed to creating an inclusive workforce that fosters belonging.
Lyft believes that every person has a right to equal employment opportunities without discrimination based on protected characteristics.
Lyft strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.