Manager, Actuarial

Hi, we're Oscar. We're hiring a Manager, Actuarial to join our Actuarial team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About The Role

The Actuarial Manager will be a key player in helping Oscar to understand the financial implications to the ACA’s risk adjustment program.  You will support multiple aspects of the actuarial team’s risk adjustment work, including supporting monthly financial close, ongoing forecasting, and various other analyses.  This is a very dynamic space, which makes this a great opportunity to work on interesting projects and have a BIG impact.

You will report into the Director, Actuarial.

Work Location

This is a remote position, open to candidates who reside in: Dallas, TX. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area.

Pay Transparency

The base pay for this role is: $118,080- $154,980 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities

Live on the cutting edge by developing Oscar’s ability to predict ACA market morbidity, working with a cross functional team of actuaries and data scientists.

Showcase resourcefulness and creative thinking in sourcing new data and making market level predictions in innovative ways.

Maintain and evolve core risk adjustment reporting and forecast models.

Conduct research and enhance Oscar’s risk adjustment knowledge and capabilities, including views of both Oscar’s membership and other carriers in the market.

Key contributor in estimated risk adjustment transfer estimates for monthly closes and ongoing financial forecasts.

Conduct various risk adjustment related analyses, including analyzing drivers of risk adjustment performance.

Promote and shape Oscar actuarial best practices with respect to automation and documentation.

Maintain strong relationships, rapport, and lines of communication with both internal and external stakeholders.

Aid in the onboarding of analysts by collaborating and integrating them into existing processes.

Compliance with all applicable laws and regulations

Other duties as assigned

Requirements

College degree in a STEM field.

Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one.

5+ years of quantitative analysis experience.

Bonus Points

Strongly prefer ACA Risk Adjustment, ACA Pricing/MedEcon, or Non-ACA Risk Adjustment expertise.

Excellent communication, collaboration, and relationship-building skills.

Strong understanding of health insurance concepts and nuances.

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At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency

Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.

Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (ai)

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Reasonable Accommodation

Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

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