Senior Cyber Catastrophe Risk Modeler

3 weeks ago

Leeds, United Kingdom Cyberwrite Full time

REMOTE JOB - ANY LOCATION. EXCEPTIONAL COMPENSATION PACKAGE FOR THE RIGHT CANDIDATE.


Job description – Senior Cyber Cat Modeler 

Cyberwrite is searching for a Senior Cyber Catastrophe Risk Modeler to join our mission to lead the cyber-insurance risk analytics market with our patented cyber risk platform. 


The right candidate: 

You are a passionate, detail-oriented, and creative problem solver, excited by the prospect of pursuing hard problems and exploring the unknown. You enjoy applying quantitative methods. 


Responsibilities: 

Developing and implementing capabilities to effectively visualize the potential impact of cyber events 

Exploring data sources to come up with features and assumptions to enhance our set of risk models 

Develop and validate probabilistic cyber risk model for the (re)insurance and financial services markets. 

Define and implement a globally consistent best practice process for data validation, feature selection, and modeling of catastrophe exposures. 

Lead best practices to design and extend an agile and flexible modeling framework. 

Developing and implementing methodologies to quantify the impact of cyber security risk, with a specific focus on supply chain-related event 

Calibrating, testing, and validating different types of models in the insurance space 

Integrating/automating modeling processes in our production pipeline to feed our platform 

Main analytics point of contact and collaborate directly with clients and cli facing teams 

Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement 


Qualifications: 

MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines 

Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 

5+ years of experience in catastrophe risk Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and propagation, GLMs applications, feature engineering, data visualization, and hypotheses testing 

True passion for leading, inspiring, mentoring, and attracting world-class colleagues 


Experience working with different types of datasets (e.g., unstructured, semi-structured, with missing information) 

Proficiency in Python. 

Excellent written and verbal communication skills 

Ability to think critically and creatively in a dynamic environment while picking up new tools and domain knowledge along the way 

A positive, self-starting attitude and a growth mindset 

Work fully remote. Competitive salary and benefits package. 


About Cyberwrite 

Founded in 2017 by veterans in cyber insurance and cybersecurity, Cyberwrite is the foremost provider of AI-driven cyber insurance risk quantification and orchestration technology solutions. Our mission is to empower all participants across the cyber insurance lifecycle—insurers, reinsurers, brokers, and agents—to swiftly and clearly analyze, calculate, and communicate cyber risks for companies. 

At Cyberwrite, our products are the driving force behind transforming the cyber insurance landscape. Reinsurers and insurance carriers tell us that our products profoundly impact their success in this market — enabling them to enhance underwriting decisions and improve risk management for lower loss ratios and increased profitability. Our dedication extends to agents and brokers who say our comprehensive risk reports and in-depth analyses enable them to more easily explain cyber risks and their potential impacts to their clients. 

What sets us apart? 

Our solutions are developed by cyber and insurance experts and tailor-made to address the cyber insurance industry’s need for: 

Simplicity: Our user-friendly platform enables both business owners and insurance professionals to comprehend cyber insurance risks without extensive cyber expertise. 

Precision: Leveraging our patented cyber insurance AI model, 4SEEN®, which draws from proprietary historical data and specialized cyber insurance datasets, we predict and benchmark cyber insurance risks with unprecedented accuracy. 

Moreover, our proprietary Vivaldi™ orchestration technology, a first of its kind in the industry, manages the multiple AI systems necessary for optimizing decision-making processes. 

Flexibility: We adapt our AI models to each customer’s unique cyber insurance policy, allowing optimal assessment of cyber risk for every coverage area, from data compromise to misdirected payment fraud. 

Reach: Unlike platforms limited by pre-profiled databases, our platform analyzes cyber risk for any business globally in real-time, delivering reports in eight languages. With over 100 million businesses in need of cyber insurance worldwide, our platform ensures that coverage is accessible when needed. 

  • With cyber threats escalating, the need to mitigate exposure while providing comprehensive coverage is paramount. Through our deep-seated experience in both cyber insurance and cybersecurity, we are able to decipher extensive cyber risk data for our customers to enhance risk assessment and decision-making and pave the way for a brighter future for the cyber insurance vertical and the businesses it safeguards. 

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