Pricing and Risk Analyst

Summary

Join AKKO, a fast-growing insurtech company, and leverage technology to make protecting people’s tech easier and more affordable. As an Actuarial Analyst, you will analyze and interpret insurance risks, develop statistical models, and collaborate with cross-functional teams. You will use advanced data science techniques to uncover trends and inform decision-making, ensuring actuarial and pricing models align with company goals. You will also coordinate with underwriting partners and present reports to senior management. This role requires a minimum of 4 years of experience in a related field and a bachelor’s degree in a relevant field. AKKO offers a fully remote work environment and a variety of benefits.

Requirements

• Minimum of 4 years of experience working in risk analysis, pricing analysis, actuarial analysis, data science, or underwriting, 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, BigQuery, PowerBI. Advanced knowledge of Excel
• Strong analytical mindset, with a passion for diving into numbers and making data-driven decisions
• 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

Responsibilities

• 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 and pricing models are aligned with the company’s long term goals for data and machine learning. Create solutions to improve our systems and processes
• Coordinate with insurance underwriting partners around data organization and alignment
• Leverage AI and machine learning techniques to enhance risk modeling, improve claims predictions, and surface actionable insights from large, complex datasets
• Prepare and present reports and analysis to senior management, underwriters, and other stakeholders

Preferred Qualifications

Familiarity with actuarial processes is a plus (underwriting, reserving, risk assessment)

Benefits

• Unlimited vacation
• Paid sick time
• Competitive health benefits , including medical, dental and vision insurance
• Robust 401k program – to invest in your future
• Monthly wellness stipend (e.g., gym yoga, meditation, etc..) – we value your well-being
• Monthly treat yourself stipend
• Remote workspace stipend – Work from home or from a shared workspace — you decide
• Paid volunteer time – giving back to our community is important to us!
• Annual learning credit –explore personal interests that excite you