Job Summary:

J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative Analytical & Gen AI based automation solutions to enhance risk management and compliance processes. Our team leverages automation, analytics & Large Language Models (LLMs), to transform how we manage compliance conduct, and operational risks across the organization.

Join our CCOR Data Analytics team as a Associate, where you will play a crucial role in developing solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging Python, Alteryx, Tableau & LLMs to develop and automated & analytical solutions supporting compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. 

Job Responsibilities:

Design, deploy, and manage automation/analytical solutions, leveraging Python, Alteryx, Tableau & LLMs for developing compliance and risk management related solution. Conceptualize & build insightful dashboards to  provide users with actionable insights supporting informed decision-making. Build solutions leveraging tools such as Python, Alteryx to automate monitoring/ test activities under teams within compliance. Collaborate with cross-functional teams to identify requirements, develop solutions, and ensure successful deployment. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Communicate technical concepts effectively and provide training to both technical and non-technical stakeholders, enhancing their understanding and utilization of analytical tools. Develop documentation and guidelines to standardize processes and ensure consistency in solution management. Stay updated with industry trends and emerging technologies to incorporate innovative approaches into compliance and risk management strategies. Facilitate workshops and meetings to gather feedback and insights, ensuring solutions align with business needs and objectives.

Required Qualifications, Capabilities, and Skills:

Bachelor’s or Master's degree in Computer Science, Information Technology or related field from top tier universities.  At least 8+ years of Experience in developing automation & analytical solutions, with recent exposure to LLMs  Proficiency in tools such as Python, Alteryx, Tableau, and LLMs. Adept at Performance tuning of complex SQL sources Exposure to solutions leveraging Agent AI is a plus Ability to work independently and as part of a team in a fast-paced environment. Excellent problem-solving skills and the ability to communicate ideas and results clearly.