Fraud and Risk Analyst

Lyft

Sep 4

Applications are closed

Job
Full-time
Senior Level
Data
Research & Development
Toronto

Requirements

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

Responsibilities

Develop, implement, and improve comprehensive fraud detection strategies, real-time fraud rules and models directly and in collaboration with relevant teams.
Support cross functional teams to build-out critical dashboards and tools to measure effectiveness of payment process, operations and new programs.
Collaborate with Product Management, Data Science, Engineering and Operations to resolve identity or integrity issues and other escalations.
Able to communicate complex information both verbally and in writing, effectively with audiences at every level, including executive leadership team, partners, and individual contributors.
Deliver enhancements to Lyft fraud detection and mitigation, communicate and prioritize development in collaboration with product management and engineering teams.
Report overall status, primary business metrics, key issues and solution recommendations and plans to senior management and executives.
Establish business cases and projected ROI on investments to prioritize opportunities related to fraud programs.
Create robust and customer-friendly policies to reduce user friction along with balancing fraud loss.

FAQs

What is the main mission of the Fraud and Risk Analyst team at Lyft?

The main mission is to ensure trust and safety for all customers by protecting Lyft from fraud and enabling sustainable growth.

What types of experience are preferred for this position?

Preferred experience includes 5+ years in payment, marketplaces, e-commerce, retail, digital media, or financial services industries, with fraud or identity experience, especially in the merchant risk domain.

What kind of educational background is required for this role?

A bachelor's degree in a quantitative field or relevant work experience is required.

What programming skills are expected of the Fraud and Risk Analyst?

Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis is expected.

How does the role involve collaboration with other teams?

The role requires collaboration with Product Management, Data Science, Engineering, and Operations to resolve identity issues and other escalations, as well as building critical dashboards and tools.

What are the reporting responsibilities of this position?

The individual will report overall status, primary business metrics, key issues, and solution recommendations to senior management and executives.

What types of projects will the Senior Analyst work on?

The Senior Analyst will develop and execute fraud prevention strategies, create fraud detection rules and models, and work on process improvements for fraud resolution.

What are the benefits provided by Lyft for this position?

Benefits include extended health and dental coverage, mental health benefits, family building benefits, paid time off, paid parental leave, and more.

Is there a focus on maintaining user experience while preventing fraud?

Yes, the individual will develop fraud prevention measures that balance fraud loss with the need for a positive user experience.

How often will team members be required to work in the office?

Team members will be expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day.

Lyft

Ride by ride, we’re reimagining the world’s best transportation.

Transportation

Industry

5001-10,000

Employees

2012

Founded Year

Mission & Purpose

Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.