DeNexus’ mission is to build the Global Standard of Industrial Cyber Risk Quantification for Agencies, Shareholders, Investors, Boards and the Risk Transfer Market.
DeNexus’ flagship product DeRISK is an evidence-based cyber risk quantification SaaS platform for industrial corporations and (re)insurers of cyber risk. DeRISK provides an inside-out and outside-in view of the risk, both at the unit industrial facility and portfolio levels.
As a Senior Actuarial Modeling Specialist, you will play a crucial role in delivering data-driven and analytic solutions for the DeRISK platform. Your expertise will be applied within the DeRISK development team, delivering a pioneering approach to industrial cyber risk quantification. You will join the ranks of our cyber risk modeling and risk transfer teams, leveraging your actuarial expertise in unitary and catastrophic risk modeling. The role also offers a unique opportunity to learn from renowned professionals in DeNexus and the DeNexus Advisory Board.
Responsibilities
? Interpret complex sets of insurance exposure data across multiple accounts, and pro-actively recommend new data sources and data enrichment. Continuously improve the quantity and quality of data captured for modeling.
? Develop and set data modeling performance acceptance criteria. Assist the modeling team with sensitivity analysis and calibration tasks.
? Diagnosis and calibration of DeRISK results with real cases.
? Be the main analytics point of contact and core member of the development team alongside internal stakeholders, resolve questions and challenges that may arise regarding cyber risk quantification algorithms.
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? Develop knowledge in certain areas of catastrophe risk management services through research or experience to advance professionally and gain recognition as an expert in the industry.
? Facilitate communication and collaboration across unit risk, risk accumulation, and catastrophe risk domains.
? Record and clearly articulate risk modeling methodologies for the benefit of product management and other internal stakeholders.
? Coordinate with the Product and Development teams to achieve the overall DeRISK Product goals that meet the business needs. Work closely with Product Management and UI/UX teams to define information, Key Risk Indicators, and workflows in DeRISK’s UI and to be exposed to other systems or platforms through the DeRISK’s Rest-API. ? Prepare summaries, presentations, and reports to summarize potential risks and loss results and to make recommendations to the use cases/client about how they can improve their portfolio. ? Be able to document risk modeling methodology for product management and other internal stakeholders. ? As part of the DeNexus´risk transfer team, you will work closely with insurance, reinsurance and ILS experts in the definition and development of the DeNexus Insurance MVP that the company will test drive in a pilot project in 2023, to productize and scale it in 2024 to provide cyber risk protection and capacity at scale to DeNexus’ industrial clients
Qualifications
? +5 years of experience in the cyber insurance and reinsurance sector (with brokers, Lloyd’s syndicates, insurance and/or reinsurance firms). ? Experienced in risk management and strategy implementation. ? Proven technical background. A master’s degree in actuarial science, statistics, mathematics, or a related field is required. Candidates with a Ph.D. will be given special consideration. ? Extensive understanding of risk modeling and demonstrated experience in applying statistical techniques to create predictive models. ? Exceptional critical thinking, project management, and problem-solving skills.Self-motivated, creative, both independent and collaborative. ? Can communicate complex statistical findings in an easy-to-understand way. ? Fluency in spoken and written English.
DeNexus highly values…
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? Cyber security knowledge. ? Experience in cat modeling algorithms, data cleanup and validation analysis. ? Industry certifications. ? Experience with the ILS market a distinct advantage
Location ? Boston, London, or Madrid. ? Hybrid position