Senior Actuarial Analyst

About the Team

The Risk & Insurance team at DoorDash is responsible for all things corporate insurance at the company. We are a rapidly growing and exciting function that helps DoorDash manage risk and safety with a close lens on the company's bottom line. We are looking for forward thinkers that are excited to help build out this team and match our ambitious cross-functional partners at DoorDash.

About the Role

We are looking for a motivated and detail-oriented Senior Actuarial Analyst who will be a member of DoorDash’s Corporate Risk & Insurance function within the Finance & Strategy team. In this role, you will play a key part in supporting our actuarial core function and advancing our analytical capabilities.

You’ll help drive data-informed insights that guide actuarial decisions and contribute to the evaluation of operational trends. This is a high-impact role with opportunities to collaborate across functions and influence key areas of our risk strategy.

You’re excited about this opportunity because you will…

• Contribute to the development of streamlined tools and perform robust quantitative analyses to support reserving accuracy, optimize insurance program structure, and carrier negotiation.
• Assist in building and maintaining tools and dashboards that drive in-depth loss analysis, actuarial indication, and trend monitoring.
• Work alongside senior actuaries to refine monthly performance reporting and support automation of recurring workflows.
• Collaborate with cross-functional teams—including Claims, Finance, and Legal—to incorporate operational insights into actuarial workstreams and deliver high-quality outputs on schedule.
• Gather and reconcile data from various internal systems and external sources to support actuarial analyses.
• Take ownership of assigned projects, delivering thoughtful, well-documented insights that help inform business and actuarial decision-making.

We’re excited about you because you have…

• Flexibility, resourcefulness, optimism, grit, and a growth mindset.
• Prior experience working with or for a gig or sharing economy company is a plus.
• 2-5 years of experience in a quantitative or analytics role within the insurance industry.
• An understanding of statistical analysis (e.g. hypothesis testing, experimentation, regression) and familiarity with statistical packages.
• Experience managing relationships with partners, and working with all levels of an organization.
• Experience in reserving and pricing.
• Strong Excel (or Google Sheets), SQL, and experience with ETL and Python (or R) is preferred.
• Advanced visualization skills using Tableau, and ability to tell a compelling story with data.
• Completed at least 5 actuarial exams.
• Experience working with commercial auto insurance in a reserving and/or pricing capacity is a plus.

Applications for this position are accepted on an ongoing basis.

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off, and paid sick leave in compliance with applicable laws.

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked, and paid sick time accrued at 1 hour for every 30 hours worked.

The national base pay range for this position within the United States is $98,600 - $145,000 USD.

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.