JPMorganChase is looking to strengthen its resilience and manage risks by hiring a Technology Operational Risk Management Data Scientist to conduct independent risk assessments on specific technologies, identify emerging technology risks, and understand third-party risks.
Requirements
- Experience and passion for data science, data engineering, and technology & cybersecurity risks.
- Excellent analytical skills with the ability to define and test risk hypotheses using advanced data-science tools.
- Experience with data visualization tools such as Tableau and AWS Quicksight.
- Proficiency in Python and SQL data science tools (e.g., Pandas, NumPy, Matplotlib, etc.)
- Strong knowledge of AI and Machine Learning algorithms, including Scikit-learn, TensorFlow, or AWS SageMaker.
Responsibilities
- Perform independent Technology and Cybersecurity Risk assessments on specific technologies using AI, data-first approaches, and advanced analytics to identify and mitigate potential risks.
- Define and test statistical hypotheses to evaluate the impact of emerging technologies and third-party risks on the organization.
- Utilize Python and SQL to manipulate and analyze large data sets, providing actionable insights to support risk management strategies.
- Create and maintain dashboards and reports using Tableau and AWS Quicksight to visualize data and communicate findings to stakeholders.
- Develop and operate data loads into Oracle and Databricks environments, ensuring data integrity and quality.
- Apply AI and Machine Learning algorithms, including Open AI GPT, Scikit-learn, TensorFlow, and AWS SageMaker, to develop predictive models and enhance risk assessment capabilities.
Other
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively.
- Keen interest in developing skills in cybersecurity, technology operations, and risk management.
