Pricing Actuary
The Pricing Actuary leads client proof-of-concepts, applies P&C ratemaking expertise, and translates insurance requirements into software-driven solutions. The role requires at least five years of pricing experience, strong rate-filing knowledge, and familiarity with predictive modeling and machine learning.
About the job
Responsibilities
- Lead proof-of-concepts with prospective clients and communicate complex actuarial concepts to technical and non-technical audiences.
- Apply creative approaches to traditional actuarial tasks and answer ad hoc actuarial questions using Akur8 features.
- Diagnose misalignments between clients’ software use and underlying actuarial assumptions.
- Identify product features and offerings that benefit insurers and support product-roadmap development.
- Translate insurance business requirements into practical, software-driven solutions.
- Present ratemaking analyses and recommendations to stakeholders with varying levels of technical expertise.
- Contribute to white papers and present at conferences and webinars.
- Travel approximately five working days per month for team trips, client meetings, and industry events.
Requirements
- Minimum of 5 years of experience in a P&C/general insurance pricing role, such as Pricing Actuary or Actuarial Consultant.
- Broad insurance industry knowledge, including ISO products and ISO ERCD.
- Experience recommending and filing rates, developing rate indications, applying measurement methods and state-specific adjustments, and introducing or updating rating variables and factors.
- Experience across the rate filing and approval lifecycle, including responding to objections from state Departments of Insurance.
- Hands-on experience in actuarial ratemaking and rate deployment in a P&C or general insurance pricing environment.
- Ability to understand insurance business imperatives and translate them into practical software-driven solutions.
- Ability to quickly understand clients’ ratemaking processes, identify requirements, and map them to Akur8 platform functionality.
- Basic understanding of data science and machine-learning techniques for predictive modeling.
- Willingness and ability to travel approximately one week per month.
- Native or near-native fluency in English.
Preferred Qualifications
- Experience with commercial and specialty lines.
- Familiarity with Python or R.
- ACAS or FCAS credentials, or equivalent fellowship in a recognized actuarial body.
Compensation and Benefits
- Salary of $170,000-$220,000 plus annual bonus.
- Health, dental, and vision insurance, including spouse and family coverage.
- 401(k) company match.
- Life insurance.
- Cell phone and internet reimbursement.
- 25 days of paid time off per year.
- Commuter benefit.
- Gym membership through ClassPass.
- IT equipment allowance.
- Professional development and training.
- Company gatherings and team events.
Skills
Actuarial Ratemaking, P&C Insurance, Rate Filing, Rate Indications, Iso Products, Predictive Modeling, Machine Learning, Data Science, Python, R, Insurance Pricing
Similar jobs
Data Science jobsOwns data science and decisioning for onboarding fraud, identity, and KYC, developing predictive models, experiments, vendor evaluations, and monitoring systems. Requires 5+ years in data science or risk analytics, strong Python and SQL, and experience with adversarial classification problems.
The Data Scientist will serve as an embedded analytical partner to product and business leaders, owning experimentation, causal inference, predictive modeling, and metric design. The role requires 5+ years of data science experience, expert SQL and Python, strong statistical foundations, and the ability to influence strategic decisions.
Develop datasets, performance metrics, and statistical methods to verify and validate an autonomous driving perception stack. The role requires advanced education in a quantitative field and proficiency in Python, SQL or Spark/Scala, exploratory analysis, visualization, and statistical modeling.
The Data Scientist will analyze healthcare claims, billing patterns, and complex datasets to identify anomalies and support Trust & Safety, compliance, and legal operations. The role requires 5+ years of experience, expert SQL and Python/R skills, data visualization expertise, and strong risk-focused communication.
Senior individual contributor responsible for defining, operationalizing, and improving performance metrics for enterprise AI agent deployments. The role combines customer-facing advisory work, quantitative analysis, experimentation, and building scalable measurement tools and frameworks.