About At-Bay:

We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape. At-Bay has raised nearly $300MM in funding from Icon Ventures, LightSpeed Venture Partners, Qumra Capital, M-12 (Microsoft), Acrew Capital, Khosla Ventures, Shlomo Kramer and MunichRe. We are distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv. We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams.

The role:

Risk Analytics is one of the most critical, cross-functional business units at our company. As a Risk Analyst, you leverage data to drive strategic decisions involving billions of dollars in exposure. As a key member of the risk analytics team, you will be responsible for crafting risk hypotheses and developing and tracking appropriate metrics. In this role, you will collaborate closely with other teams such as the pricing, decision engine, insurance product, cyber research, claims and more to identify the highest impact areas on the business. You will diagnose problems and develop compelling, data-driven recommendations to minimize loss and improve At-Bay’s profitability.

Your impact:

  • Identify new risk opportunities through KPI measurement and business trends 
  • Impact analysis - define, track and monitor KPIs and trends through quantitative analysis, tools, ad hoc reports, and models to support business and risk decision making 
  • Translate data insights into recommendations and automated actions that will drive enhanced loss performance and business growth
  • Scale At-Bay data infrastructure and build processes that turn raw data into business insights
  • Conduct disruption/impact analysis pre and post-implementation
  • Conduct deep-dive analysis to link metrics along with actions
  • Build accurate and coherent dashboards
  • Develop a solid understanding of segment level valuations to optimize segment level policies

In this role we value:

  • At least 2 years of experience in data analysis, risk analysis, data science, decision science, or similar quantitative fields, experience in Insurance is a plus
  • BS / MS in a quantitative discipline (Computer Science, Mathematics, Statistics or Engineering), preferred.
  • Expertise in SQL and Excel, Tableau proficiency required, R/Python experience a plus 
  • Ability to perform analyses with a high degree of autonomy and accuracy
  • Excellent written and verbal communication skills to deliver insights clearly and succinctly
  • Track record of cross-functional execution, building trust with other teams to meet a shared goal 
  • Juggle multiple priorities in a fast-paced environment through effective communication with peers
  • Strong analytical, problem-solving and critical thinking skills

What you'll get

  • A competitive salary and equity, benefits package
  • Passionate, smart, and fun people to work with
  • You will never lack for a challenge, we are a unique blend of a tech startup, an international firm, and an insurance company

 

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