AP-HP

Cyber Risk Data Scientist

26 October 2024
Apply Now
Deadline date:
£102000 - £157000 / year

Job Description

Cyber Risk Data Scientist

Description –

Role Overview

As 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 operations
• Cybersecurity governance
• Cybersecurity policies
• Auditing
• Risk management
• Automation
• Risk analysis
• Issue tracking
• Security controls
• Operating systems

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & 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.

The base pay range for this role is $102,500 to $157,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including; 
    • 4-12 weeks fully paid parental leave based on tenure
    • 11 paid holidays
    • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job –

Information Technology

Schedule –

Full time

Shift –

No shift premium (United States of America)

Travel –

Relocation –

Equal Opportunity Employer (EEO) – 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement