Lead Cyber Analyst/Engineer

Job Description

Job Description

About CyberCube :

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.

Exceptionally well-funded startup 💰 that has raised over $100MM from top-tier investors.

Explosive team growth 🚀 (from 15 employees in SF to 100 globally 🌍).

Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >

99% retention rate .

CyberCube and its products win industry awards 🏆 every year. (eg. Cyber Risk Solution of the Year & InsurTech Product of the Year ). We were recognized with 17 awards in 2023.

Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers.

At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar.

Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️

Learn what it’s like to be part of CyberCube’s mission : Watch this leadership team interview! 🎥

As a key member of the Cyber Risk Modeling (CRM) team under the Analytics department, this role will research and analyze robust cybersecurity datasets to engineer analytical models for the insurance industry.

The CRM team is responsible for building industry-leading Cyber Risk Models through collaboration with our market-leading Actuarial, Data Science, Data Engineering, and Application Engineering teams. This role works with these departments to create and then implement models into production environments.

Responsibilities :

Build and validate our analytical cyber risk 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, and risk modeling through in-depth research and large data sets. Areas of work include cybersecurity posture, cloud security, malware defense, cyber risk exposure, technology stack dependencies, cybersecurity 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 (including threat intelligence) 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 technologies, 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 cyber expertise in the 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 technical cybersecurity analysis on client portfolios to understand loss drivers and explain model outputs to clients.

Synthesize questions and feedback from clients, and bring recommendations to the Product & Analytics team to set future direction with the models.

Skills & Qualifications :

Self-starter able to work well in independent and various team settings

Intellectual curiosity with willingness to learn new skills and contribute ideas

Excellent organizational and time management skills

Experience presenting technical concepts to diverse audiences

Eager to work in an agile environment, with the ability to pick up and drop tasks as priorities shift and questions arise

An analytical mindset with problem-solving skills and solutions

Great oral / written communication and presentation skills

Experience working in two or more of the following industries and fields : cybersecurity, IT systems / architecture, risk modeling / management, analytics, or cyber risk quantification

Familiar with Python / R, SQL, Excel, and analytical frameworks

Master’s degree in IT, computer science, cybersecurity, or related field

3-5 years of relevant work experience

Bachelor’s degree in IT, computer science, cybersecurity, or related field

6-8 years of relevant work experience

10 years of relevant work experience

Extra Credit :

Experience with catastrophe or risk quantification models

Awareness of commercial insurance concepts, including cyber insurance

Graduate degree in a related quantitative or engineering discipline such as mathematics, actuarial science, statistics, data engineering or computer science

Familiarity with database schemas and queries in SQL or NoSQL

Experience with data visualization in Tableau, Python, R, or MS Excel

Experience working in an Agile environment and team

Why you'll love it here :

Play an instrumental role in reshaping one of the oldest industries in the world

Competitive salary and unlimited PTO

Meaningful early-stage equity

Generous healthcare benefits with medical, dental and vision coverage

Monthly catered lunches and happy hours

Company-paid learning and development assistance

Flexible working hours and ability to work remotely

Opportunity to participate in a secondment program

Dependant care assistance plan

Company-supported mentorship program

Grow in a collaborative, respectful, and empathetic culture

Compensation Range : $120K - $150K

Salary : $120,000 - $150,000