Lead Cyber Economist

United States

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CyberCube

Cybercube is a market-leading cyber risk analytics platform. We aim to solve cyber risk problems in insurance with world-class analytics and unrivalled data.

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About CyberCube:
1) The market leader in digital analytics with the mission of delivering the world’s leading cyber risk analytics on one of the most critical risks of today and the future.2) Hypergrowth startup that has raised over $100mm in capital from top-tier VCs.3) Explosive team growth (from 15 employees in SF to ~100 people globally)4) Explosive client base growth path with 98% retention rate.5) An incredibly diverse, collaborative and high-performing team of insurance industry professionals, data scientists, and engineers who love working here.6) CyberCube and its products win industry awards every year (eg. CyberRisk Solution of the Year 2021). We were recognized in 12 awards in 2021.7) Openness and accessibility of senior leadership including heads of Functions and CEO.8) CyberCube is just a place where you can get things done!
Responsibilities
Build and validate the economic foundation of our analytical cyber models used in single-risk and aggregate risk products for the insurance industry.
Refine and build technographic models that integrate the areas of cybersecurity, insurance, economics/finance, and risk modeling through in-depth research. Areas of work include technology domain economics, enterprise firmographics, supply chain dependencies, technology stack dependencies, as well as cyber security practices/policy and threat actor characteristics.
Work closely with the product, analytics, engineering, and client success teams in day-to-day tasks and projects. 
Define, adjust, and create analytical research methods and models that can be defended.
Synthesize large and complex data sets into usable signals and model inputs.
Answer complex questions and inquiries from clients and product teams.
Present models and the foundational research findings to stakeholders from various clients, groups, and teams.Integrate new technographic data sources and techniques into the modeling process to create a more valuable and representative product.
Provide insight to internal teams as well as clients and customers on modeled simulations and product output through expertise in the economic model. 
Contribute robust internal and external documentation in the form of model documents, industry studies, informational videos, and code comments.
Enable change management for cyber catastrophe model clients.
Provide economic analysis on client portfolios to understand loss drivers and explain model outputs to clients.
Synthesize economic questions and feedback from clients, and bring recommendations to the Product & Analytics team to set future direction with the models.

Skills and Qualifications

  • Experience presenting technical concepts to diverse audiences
  • Experience working in one or more of the following industries and fields: economics, finance, data science, modeling and simulation, cybersecurity, IT systems/architecture, risk modeling/management, or consulting

  • Master’s degree/PhD, in economics, public policy, computer science, cyber security, statistics, mathematics, or related field with 3-5 years of relevant work experience
  • OR
  • Bachelor’s degree in economics, public policy, computer science, cyber security, statistics, mathematics, or related field with 7-9 years of relevant work experience 

  • Extra Credit:
  • Ideally familiar with Python / R, relational databases (incl. SQL), big data frameworks (Spark / Hadoop), flat files and complex data types (JSON, XML, etc.), APIs, and Excel
  • Experience with data visualization in Tableau, Python, R, or MS Excel
  • Familiarity with database schemas and queries in SQL or NoSQL
  • Experience with catastrophe models
  • Strong awareness of commercial insurance concepts, including cyber insurance
CyberCube Analytics, Inc. is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

Tags: Analytics APIs Big Data Computer Science Finance JSON Mathematics NoSQL PhD Python RDBMS SQL XML

Perks/benefits: Insurance Startup environment

Region: North America
Country: United States
Job stats:  3  0  0
Category: Leadership Jobs

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