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Data Analytics, Internal Audit Manager

Remote
Data

Hi, we're Oscar. We're hiring a Internal Audit Manager to join our Finance team.

Oscar is the first health insurance company built around a full stack technology platform and a 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 Internal Audit Manager is an important part of our growing Internal Audit (IA) function and utilizes data analytics to lead insights, improve efficiency, and mitigate risks.

You will report to the VP, Internal Audit.

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office ( in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.  

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $108,000 - $141,750 per year. The base pay for this role in all other locations is: $97,200 - $127,575 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program and annual performance bonuses.

Responsibilities

  • Serves as an important partner in defining the IA’s data analytics strategy, including identifying opportunities to use data analytics in IA plan development, risk assessments, internal audits, and reporting. 
  • Lead the integration of data analytics techniques into the internal audit processes and projects.
  • Complete internal audits, with accountability for planning, risk assessment, scoping, building and reporting of the results.
  • Leverage appropriate data analytics tools to identify anomalies, trends, and patterns within datasets.
  • Provide guidance and training to IA team on data analysis tools and techniques.
  • Partner with other teams to understand business processes and identify opportunities to establish and/or enhance automation and monitoring, applying data analytics and AI.
  • Stay abreast of industry best practices, emerging trends, and technologies related to internal audit, data analytics and GenAI to incorporate them into audit methodologies.
  • Compliance with all applicable laws and regulations.
  • Other duties as assigned.

Qualifications

  • Bachelor's Degree in Accounting, Finance, Business, Data Science, Information Systems, or other related fields, or 4 years of commensurate experience. 
  • 5+ years experience in Public Accounting or equivalent industry experience in internal audit, data analytics, or a similar role.
  • Proficiency in data analytics tools such as Alteryx, Looker, SQL, Python, R, Tableau, and Power BI.
  • Understanding of internal audit methodologies & processes, internal controls, risk assessment, COSO (Committee of Sponsoring Organizations of the Treadway Commission).
  • 2+ years experience in managing a team of internal or co-sourced consulting resources.
  • Interpret complex data sets and communicate insights to diverse audiences.
  • Project management abilities with the capability to lead and prioritize multiple initiatives.

Bonus Points

  • Relevant certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), Certified Analytics Professional (CAP), or equivalent.
  • Experience working with health insurance, electronic health records (EHR), or population health data.
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