Bring your expertise to JPMorganChase.  As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Technology Operational Risk Management Data Scientist within our risk assessment team, you will utilize your expertise in data science, machine learning, and data engineering, coupled with a keen interest in technology and cybersecurity risk. Your proficiency in Python and SQL, experience with data visualization tools, and a working knowledge of AI and machine learning algorithms will be vital. Your role will encompass supporting the business by conducting independent risk assessments on specific technologies, employing data-first strategies and advanced analytics. You will be responsible for identifying emerging technology risks and understanding third-party risks associated with the technology in use.

This role offers the opportunity to join the Tech & Cyber Operational Risk Management team, responsible for the successful implementation and execution of the Compliance, Conduct, and Operational Risk (CCOR) Tech & Cyber framework within JPMorganChase. You will provide Second Line of Defense challenge and oversight to our technology and cybersecurity partners. 

Job 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.

Required Qualifications, Capabilities and Skills

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. 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. 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.