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.