Hotline: 678-408-1354

Cyber Economist

CyberCube delivers the most comprehensive cyber insurance analytics platform for the insurance industry.

We are solely focused on solving the hardest cyber risk challenges with world-class analytics. Our team is composed of multi-disciplinary experts across data science, cyber security, software engineering, modeling and commercial insurance. CyberCube offers products for cyber risk aggregation modeling and insurance underwriting. CyberCube leverages the threat intelligence from the world’s leading cyber security company, Symantec, along with several other data sources.

CyberCube is headquartered in San Francisco, California. We are backed by Symantec Ventures and Trident Capital Cybersecurity (TCC) – the world’s largest venture capital fund dedicated to cybersecurity early stage investing.

Role

As an Economist, you will join our growing analytics & engineering teams to work on the unique cyber security data layer underlying our SaaS products. You will help build analytical models and solutions, and develop research to help CyberCube Analytics products users make better data-driven decisions. This is a cross functional position with significant exposure and responsibility. This is a full-time position based in our headquarters in downtown San Francisco, California.

Responsibilities

Work closely with products, analytics, and engineering team members

Build and maintain datasets and develop analyses to help with our SaaS products

Monitor the cyber public policy environment, debate, and major cyber events

Contribute to thought leadership and research reports

Take on ad hoc research on various topic related to cyber economics and cyber insurance

Assist in creating and maintaining SaaS applications

Skills

Self-starter able to work well independently as well as in various team settings

Intellectual curiosity, willingness to learn new skills, and ability to contribute ideas

Excited by economic and financial problems – both macro and micro

Ability to deal with uncertainty in modeling

Excellent organizational and time management skills

Eager to work in an agile environment

An analytical mindset with problem-solving skills

Excellent written and verbal communications, story-telling, and presentation skills

Key Qualifications

Bachelor’s or master’s degree in economics, public policy, political science, statistics, or related field

At least 4 years in an Economist in a think tank, leading research institution, or private sector organization

Portfolio of research projects you’re proud of

Advanced econometric modeling

Experience working with flat files, complex data types (JSON, XML, etc.), and APIs

Experience in relational database and knowledge of SQL

Programming skills and experience (Python, R, Stata, MATLAB, etc.)

Bonus Points

Ph.D. in economics, public policy, political science, statistics, or related field

Experience working in one or more of the following industries: cyber / data security, insurance, finance / risk modeling, consulting

Experience in startup environments

Experience working on quantitative software products

Why You’ll Love It Here

  • Play an instrumental role in reshaping one of the oldest industries in the world
  • Competitive salary, 401 (k), unlimited PTO, and meaningful early stage equity
  • Generous healthcare benefits with medical, dental and vision coverage
  • Fully stocked kitchen with healthy snacks and Ugly Juice for your enjoyment
  • Weekly catered lunches, happy hour, and discounted gym passes
  • Company paid learning and development assistance
  • Grow in a collaborative, respectful, and empathetic culture

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.

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Contact Us

Eltas EnterPrises Inc.
3978 Windgrove Crossing
Suite 200A
Suwanee, Georgia
30024, USA
contact@eltasjobs.com

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