Pricing and Systems Actuary

🕒 April 1

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $165k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Actuary

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Counterpart

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🤝 B2B

Insurance • SaaS • B2B

Counterpart is a company that focuses on providing management liability insurance products tailored for small business owners and insurance brokers. They offer a comprehensive range of insurance products including Directors & Officers Liability, Employment Practices Liability, Fiduciary Liability, and General Liability coverage. Counterpart is recognized for its innovative approach to mitigating risks and delivering value through a user-friendly platform, supporting efficiency and effectiveness in claims management and risk assessment. The company is committed to supporting small businesses in navigating financial risks through custom insights and expert guidance. Counterpart partners with brokers to enhance client experiences and offers API integration for seamless service delivery.

📋 Description

• Build and maintain new efficient/expansive rating systems and related models in Python and in Excel. Building a system ultimately allows the team to help steer the portfolio more 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.

🎯 Requirements

• Minimum of 3 years of total work experience, including P&C insurance. • Strongly preferred but not required: ACAS, FCAS (this a hybrid actuarial and analytics role) • 2+ years experience with Python. • Bachelor/Master in a quantitative discipline (computer science, actuarial science, mathematics, statistics, economics, physics, engineering, or related field). • A passion for solving challenging mathematical problems and an interest in exploring new machine learning tools and technologies. • An entrepreneurial mindset with a bias for action over perfection, and are, 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.) • Communications skills for translating technical or statistical analysis results into business recommendations.

🏖️ Benefits

• Health insurance • Retirement plan • Paid time off • Flexible work arrangements • Professional development opportunities