Sr Actuarial Analyst

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.

At Lyft, actuaries are more than risk modelers, they are trusted business advisors, with a key voice in our most important decisions. We partner with many groups across the organization to work on core products. Get ready to deploy your actuarial skills in innovative ways and team up with Engineering, Data Science, Operations, Finance, Legal, and Public Policy to solve complex pricing challenges. Our insurance solutions are evolving and the team is growing. We can’t wait to meet you!

Responsibilities:

• Develop and maintain predictive models to solve complex problems in risk segmentation, reserving, claims, and litigation
• Use advanced modeling techniques to evaluate historical loss performance for portfolios, identify key performance indicators, predict future loss cost and develop actionable strategies
• Research on latest modeling techniques and innovative features to improve existing models
• Clearly and effectively communicate actuarial results to external audiences including senior management
• Work with operations and product management teams to ensure risk/insurance aware business decisions
• Pursues professional development in the actuarial profession through rigorous self-study and successful completion of actuarial exams, with advancement toward the ultimate goal of FCAS

Experience:

• Bachelor or equivalent degree in Actuarial Science, Math, Statistics, Data Science, Economics, or similar
• 3+ years of experience in the P&C actuarial field (flexible scheduling during exam preparation and continuing education support for FCAS; we want to be part of your career development!)
• Experience with SQL and Python (or R) is required and experience in distributed computing (Spark) is a plus
• Working knowledge with Github
• Experience with modeling, pricing or reserving 
• Personal or commercial auto insurance experience required
• Great communication and presentation skills Strong organization and time management skills
• Balance attention to detail with fast-pace Lyft environment
• Passionate about actuarial science and eager to learn and grow Highly innovative

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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 3 days per week 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 New York City area is $128,000 - $160,000. 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.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.