Cyber Risk Data Scientist

Cyber Risk Data ScientistDescription -Role OverviewAs the world around us becomes more connected and digital, there are increased opportunities for fraud and disruption due to cybersecurity attacks. The need for companies, products, and services to be secure is more important than ever in this constantly changing landscape.Are you passionate about keeping good people safe from bad actors? We are too! We are HP Cybersecurity and we are tasked with the security of the HP enterprise. As HP continues our digital transformation, the work of the cybersecurity professional is never complete and is always interesting. Come be a part of making a difference with us!HP is seeking a highly motivated and experienced Cyber Risk Data Scientist to join our Cybersecurity, Governance, Risk, and Compliance department. The successful candidate will specialize in risk management, risk quantification, and data science. The Cyber Risk Data Scientist role will assist with managing cyber risks using industry standard methodologies and data science practices in order to protect HP’s reputational and financial health.Key Responsibilities:Provide support to overall GRC program through various strategic initiatives.Risk Quantification: Develop and implement robust methodologies to quantify and measure various types of risks, including financial, operational, and reputational risks.Risk Assessment: Evaluate the potential impact and likelihood of identified risks on HP's business objectives.Value at Risk (VaR) Estimation: Employ VaR models to assess the potential losses that HP may incur due to a cyber incident.Data-Driven Decision Making: Analyze data from GRC technologies to identify emerging risks and provide insights to support data-driven decision-making.AI and Machine Learning: Leverage AI and machine learning algorithms to develop predictive models for risk identification and assessment.Big Data Analytics: Utilize big data analytics techniques to analyze large datasets and extract meaningful insights related to risk factors.Qualifications:Strong individual leadership skills that are demonstrated via high-level of collaboration and teamwork amongst direct team and strategic stakeholders, that deliver value-added results.Ability to form relationships and cultivate a positive working environment.Strong understanding of risk management principles and methodologies.Advanced degree in quantitative finance, statistics, economics, or a related field.Proficiency in statistical analysis and data modeling techniques.Experience with AI, machine learning, and big data analytics tools and platforms.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work independently and as part of a team.Strong familiarity with risk management frameworks such as NIST, ISO.Knowledge of financial modeling and valuation techniques.Programming skills (e.g., Python, R).Highly Preferred Qualifications:Experience with administration of Risk Management platforms.Experience in the technology industry or a related field.Education & Experience Recommended:Four-year or Graduate Degree in Computer Science, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence.Typically has 7-10 years of work experience, preferably in cyber & IT security, or a related field.Knowledge & Skills:Cybersecurity operationsCybersecurity governanceCybersecurity policiesAuditingRisk managementAutomationRisk analysisIssue trackingSecurity controlsOperating systemsCross-Org Skills:Effective CommunicationResults OrientationLearning AgilityDigital FluencyCustomer CentricityImpact & Scope:Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.Complexity:Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.Disclaimer:This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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