Apply📍 New York, NY
🧭 Full-Time
💸 80000.0 - 110000.0 USD per year
🔍 Insurance
🏢 Company: AKKO👥 11-50💰 $12,000,000 Series A almost 3 years agoMobile DevicesElectronicsInsuranceSoftware
- Minimum of 4 years of experience working in actuarial analysis, data science, or pricing and underwriting, within the insurance industry, preferably within a startup environment
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Finance, Accounting, or a related field.
- Proficiency in statistical modeling techniques (e.g., regression analysis, hypothesis testing) and understanding of financial exposure and risk metrics.
- Experience with tools such as Python, R, SQL, or other statistical software as well as data modeling/analysis tools like Looker, PowerBI.
- Advanced knowledge of Excel.
- Strong analytical mindset, with a passion for diving into numbers and making data-driven decisions.
- Familiarity with actuarial processes (pricing, reserving, risk assessment).
- Strong organizational and project management skills.
- Demonstrated ability to lead initiatives, build out processes or functions from scratch, especially in a startup or fast-paced environment while working cross functionally.
- Excellent organizational and time management skills.
- Ability to adapt to a fast-paced, dynamic startup environment and contribute to a positive and collaborative culture.
- Proactive and solution-forward, bias for action.
- Analyze and interpret insurance risks, with a strong focus on the statistical relationships that affect risk outcomes.
- Provide insights into device protection risks, pricing strategies, and trends in insurtech.
- Develop and maintain statistical models to analyze financial exposure, risk, and performance of insurance products.
- Use advanced data science techniques, such as predictive modeling, machine learning, and hypothesis testing to uncover trends and inform decision-making.
- Collaborate cross-functionally with teams such as Product, Engineering, and Finance to build out actuarial functions and initiatives.
- Work alongside data analysts to ensure our actuarial models are aligned with the company’s long term goals for data and machine learning.
- Create solutions to improve our systems and processes.
- Ensure that all actuarial work complies with insurance regulations and industry standards, adapting to changes in the insurtech landscape.
- Coordinate with underwriting partners around data organization and alignment.
- Prepare and present reports and analysis to senior management, underwriters, and other stakeholders.
Project ManagementPythonSQLMachine LearningData science
Posted 5 months ago
Apply