Job details

Cyber Risk and Analytics Engineer

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! 🎥

Are you passionate about shaping the future of cybersecurity and risk management? As a Cyber Risk and Analytics Engineer you’ll play a critical role in our Analytics team, working alongside industry-leading experts to develop innovative cyber risk models that drive decision-making in the insurance industry.

Join us to dive deep into cybersecurity data, analyze the latest cyber threats, and craft models that assess risks for businesses worldwide. Collaborate with talented teams across Data Science, Engineering, and Product Development, contributing to solutions that quantify cyber risk from growing cyber threats like ransomware, data breaches, and critical vulnerabilities.

Imagine combining your technical skills in Python, SQL, big data frameworks like Spark/Hadoop, and knowledge of the cyber landscape to create cutting-edge risk-scoring models that influence an entire industry. This role is ideal for someone with a strong analytical mindset and a passion for cybersecurity and risk management. You’ll have the opportunity to research, innovate, and provide expert insights that shape product development and impact real-world cybersecurity decisions.

Responsibilities

Evaluate data sources and develop use cases for cyber risk metrics.
Build and validate cyber risk models for the insurance industry.
Conduct research on emerging cybersecurity threats and trends.
Collaborate with cross-functional teams to implement risk models.
Communicate insights and educate internal and external stakeholders.

Skills & Qualifications

Proficiency in Python / R, SQL, big data frameworks and APIs.
Experience in cybersecurity, data science, or risk modeling.
Strong problem-solving, communication, and presentation skills.
Eagerness to learn, adapt, and contribute in an agile work environment.

Why You’ll Love It Here:

Competitive salary and meaningful early-stage equity
Health insurance benefits with dental and vision coverage
Regular in-person social events, monthly office lunches
Company-paid learning and development assistance, company-supported mentorship program
Grow in a collaborative, respectful, and empathetic culture

#LI-HYBRID

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.

CyberCube Glassdoor Company Review

4.8

CyberCube DE&I Review

4.5

CEO of CyberCube

Pascal Millaire

Approve of CEO

Average salary estimate

$80000 / YEARLY (est.)

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$70000K

$90000K

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What You Should Know About Cyber Risk and Analytics Engineer, CyberCube

At CyberCube, we are looking for a passionate Cyber Risk and Analytics Engineer to join our dynamic team in Tallinn. As a leading innovator in the world of cyber risk analytics, we pride ourselves on our mission to tackle one of the most pressing challenges of our time: cybersecurity. In this role, you'll have the exciting opportunity to work alongside industry experts, analyzing a wealth of cybersecurity data to develop cutting-edge risk models crucial for the insurance industry. Imagine diving deep into data from the latest cyber threats—like ransomware and data breaches—while leveraging your technical skills in Python, SQL, and big data frameworks like Spark and Hadoop to create impactful solutions. You'll be collaborating with talented professionals across various disciplines, including Data Science and Engineering, to build and validate these models. Your contributions will not only shape product development, but also influence critical decision-making processes for businesses globally. If you have an analytical mindset and a strong desire to learn and innovate in a fast-paced environment, this position promises to be a rewarding next step in your career. Plus, you'll enjoy the benefits of working in a culture that champions growth, diversity, and excellence, making CyberCube a truly inspiring place to develop your career.

Frequently Asked Questions (FAQs) for Cyber Risk and Analytics Engineer Role at CyberCube

What are the responsibilities of a Cyber Risk and Analytics Engineer at CyberCube?

As a Cyber Risk and Analytics Engineer at CyberCube, your main responsibilities include evaluating various data sources, developing use cases for cyber risk metrics, building and validating risk models, and collaborating with cross-functional teams to implement these models. You'll also be expected to conduct research on emerging cybersecurity threats, communicate findings, and educate stakeholders.