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Data Science Actuary

Remote

JOB DESCRIPTION

Data Science Actuary

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what’s ahead. That’s why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

As a Data Science Actuary, you will balance being a prolific individual contributor to initiatives at the intersection of data science and traditional actuarial work. You will help bridge the gap between the Data & Insurance teams by leveraging actuarial techniques such as pricing and risk modeling as well as new techniques such as machine learning and programming. In addition, you will contribute to the culture, rituals, and processes that underpin a high-functioning team and the organization more broadly. 

AS A DATA SCIENCE ACTUARY, YOU WILL: 

  • Build and maintain new efficient/expansive rating systems and related models in Excel and in Python. There is a core programming component to this role that allows us to build and steer effectively
  • Build and maintain risk/simulation models to help analyze and steer the business
  • Research ways to leverage industry data to enhance current rating, new/current admitted filings, and provide guidance to underwriting
  • Develop complex analyses of our underwriting, operations, business development, product performance, and user experience
  • Assist the data science, operations, and insurance teams with ad hoc analysis, data normalization, data cleansing and process improvement
  • Support the integration and production of new data sources in a manner that minimizes development cycles while maximizing potential business applications
  • Continuously challenge how we can improve our underwriting and operations
  • Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members
  • Present your work, findings, and opinions to both technical and non-technical stakeholders

WE LOOK FOR TEAMMATES WHO HAVE: 

  • Minimum of 3 years of total work experience
  • Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field).
  • Preferred but not required: ACAS, FCAS (this a hybrid actuarial and analytics role)
  • Experience and interest in data science techniques (e.g. Machine Learning)
  • An entrepreneurial mindset, interested in building the future
  • Preferred: domain knowledge in management/professional liability
  • Ability to balance competing priorities and focus on key initiatives, by estimating timelines and keeping team/documentation updated with the status of projects
  • Experience and excitement using modern cloud computing and cloud databases (i.e. AWS, Snowflake, etc.)
  • A passion for solving challenging mathematical problems and an interest in exploring new machine learning tools and technologies. 
  • 2+ years experience with Python.
  • Communications skills for translating technical or statistical analysis results into business recommendations. 
  • Bias to practical action and creativity using data (we value past or present projects that support this). 

WHO YOU WILL WORK WITH: 

  • Tanner Hackett, CEO & Founder: Having founded two other major startups, including Button and Lazada, Tanner now spends his time focused on mental health through his philanthropy, Openminded.org, in addition to reading, surfing, yoga, and enjoying the outdoors. 
  • Stanley Wang, Senior Director, Pricing Analytics: Before joining Counterpart, Stanley worked as an actuary within the pricing solutions and methods team at USAA to combine actuarial pricing with data science models. Before that, he was a leading data scientist for Digital Partners, a Munich Re Company where he specialized in building data science models and insights for leading insurtech companies. He has had many other relevant roles such as capital modeling, risk management etc. He lives in New York with his growing family.
  • Tobias Schuler, Chief Underwriting Officer: Tobias was previously the Head of Data and Analytics at Digital Partners, a Munich Re company. Tobias led a team that built out data integrations, business intelligence and advanced analytics across all insurtech partners spanning various P&C lines of businesses. Tobias is also a FCAS and has built systems to enable leading class insights for underwriting, actuarial, claims and finance experts while focusing on democratizing data. He enjoys traveling internationally and spending time with his 2 young daughters.
  • Elizabeth Barsalou, Senior Manager, Data Scientist: Before joining Counterpart, Elizabeth worked as a full stack data scientist in small business lending for Kabbage and BHG. She specialized in building data science models, infrastructure and strategies to extend credit to small businesses. She lives in San Francisco and spends her free time singing opera and playing with her dogs.
  • Chris Shafer, Chief of Staff: Chris is a published scientific author, having studied the neural correlates of gratitude at the lauded Brain and Creativity Institute. He has since helped to launch numerous businesses in which he held a variety of critical roles from product management to business operations to strategic partnerships. Chris received his bachelor’s degree in Biological Sciences from the University of Southern California.

WHAT WE OFFER

  • Stock Options: Every employee is able to participate in the value that they create at Counterpart through our employee stock option plan. 
  • Health, Dental, and Vision Coverage: We care about your health and that of your loved ones. We cover up to 100% of your monthly contributions for health, dental, and vision insurance and up to 80% coverage for family members.
  • 401(k) Retirement Plan: We value your financial health and offer a 401(k) option to help you save for retirement.
  • Parental Leave: Birthing parents may take up to 12 weeks of parental leave at 100% of their regular pay following the birth of the employee’s child, and can choose to take an additional 4 unpaid weeks. Non-birthing parents will receive 8 weeks of parental leave at 100% of their regular pay.
  • Unlimited Vacation: We offer flexible time off, allowing you to take time when you need it.
  • Work from Anywhere: Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, and invite the team to meet in person a couple times per year.
  • Home Office Allowance: As a new employee, you will receive a $300 allowance to set up your home office with the necessary equipment and accessories.
  • Wellness stipend: $100 per month to spend toward an item or service that supports your wellness (i.e. massage or gym membership, meditation app subscription, etc.)
  • Book stipend: To support your intellectual development, we offer a book stipend that allows you to purchase books, e-books, or educational materials relevant to your role or professional interests.
  • Professional Development Reimbursement: We provide up to $500 annually for you to invest in relevant courses, workshops, conferences, or certifications that will enhance your skills and expertise.
  • No working birthdaysTake your birthday off, giving you the opportunity to relax, enjoy your special day, and spend time with loved ones.
  • Charitable Contribution Matching: For every charitable donation you make, we will match it dollar for dollar, up to a maximum of $150 per year. This allows you to amplify your charitable efforts and support causes close to your heart.

COUNTERPART'S VALUES

  • Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others. 
  • Speak Boldly & Honestly - the only failure is not learning from mistakes. Don’t cheat yourself and your colleagues of the feedback needed when  expectations aren’t being met. 
  • Be Entrepreneurial - control your own destiny.  Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. 
  • Practice Omotenashi (“selfless hospitality”) - trust will follow.  Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected. 
  • Hold Nothing As Sacred - create routines but modify them routinely.  Take the time to reflect on where the business is today, where it needs to  go, and what you have to change in order to get there.
  • Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

Our estimated pay range for this role is $160,000 to $180,000. Base salary is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience. 

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. 

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation. 



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