Bring your expertise to JPMorgan Chase.  As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase 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 Officer, you will need expertise in data science, data engineering, and have strong interests in technology and cybersecurity risk. Key skills required for this role include proficiency in Python and SQL, experience with data visualization tools, and a working knowledge of AI and machine learning algorithms. Your role will involve supporting the business by performing independent risk assessments on specific technologies, using data-first approaches and advanced analytics. You will identify emerging technology risks and understand third-party risks related to the technology used.

Your 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 JP Morgan. You will provide 2nd Line of Defense challenge and oversight to our technology and cybersecurity partners. We are looking for a talented individual who is eager to learn and grow within the role. You will need to be a self-starter with a strong analytical mindset, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders. You will need to be enthusiastic about developing your skills in cybersecurity, technology operations, and risk management.

Job Responsibilities

Perform independent Technology and Cybersecurity Risk assessments on specific technologies using data-first approaches and advanced analytics to identify and mitigate potential risks. Define and test risk 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.