Fraud & Risk Analyst at Lyft, Inc.

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

120000.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Detection, Data Analysis, SQL, SAS, R, Python, Communication Skills, Project Management, Cross-Functional Collaboration, Problem Solving, Customer Experience, Risk Management, Business Analysis, Dashboard Development, Identity Programs, Operations Management

Industry

Ground Passenger Transportation

Description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Trust and confidence is fundamental to the Lyft marketplace, and the Fraud and Risk Analytics team is charged with providing and ensuring that trust and safety to all customers. The Fraud and Risk Analytics team is one of the most critical teams that helps protect Lyft and enables the company to grow in a sustainable way. The team is fast-paced, high-energy, and meticulous in diagnosing emerging fraud patterns and preventing fraud loss before it can happen. We drill holes in all the products we launch and obsess over how to make our business impervious to fraud vectors. The team conducts a rigorous analysis of complex data sets and sets up multiple layers of business rules, models, and other processes to prevent potential fraud. We are a highly cross-functional team and regularly engage in discussion and reviews with stakeholders to prioritize plans for reducing fraud impact and introducing safety features. We’re looking for a rock-star to join a fast-paced environment to contribute to Fraud-related analysis and operations. This individual is responsible for investigating and developing solutions to prevent and mitigate third party fraud. This person will proactively identify fraud patterns and sources to minimize the company’s exposure to financial and reputational risk. The Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud in the earliest stages of detection. The Analyst will define fraud prevention measures that are mindful of the impact on good user experience while inhibiting fraud actors’ ability to reach our platform. This person is quantitatively driven, detail-focused, and operations-savvy while ensuring the best possible customer experience. This individual possesses a high level of subject matter expertise and is experienced in utilizing information generated from fraud patterns, data analytics and business knowledge to identify insights and formulate a response plan. This person will work closely with Product Managers, Data Scientists and Engineers to mitigate and eliminate all forms of fraud. The individual will also work closely with operations teams to define efficient processes and systems for the fraud and customer support agents to resolve fraud issues quickly and meet organizational service-level objectives. 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 ATO 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 Identity programs Create robust and customer-friendly policies to reduce user friction along with balancing ATO related losses Experience: 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 Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. Subsidized commuter benefits 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 because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also 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. Please contact your recruiter if you wish to make such a request. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the Toronto area is CAD $96,000 - CAD $120,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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Responsibilities

The Fraud & Risk Analyst is responsible for investigating and developing solutions to prevent and mitigate third-party fraud. This role involves collaborating with cross-functional teams to implement fraud detection strategies and enhance customer experience while minimizing fraud risks.