JPMorgan Chase is looking to shape the future of data-driven decision making by designing and implementing advanced analytics solutions to achieve operational efficiency
Requirements
Strong understanding of math behind machine learning algos
Demonstrated experience in modern data mining, quantitative research, and data science techniques (e.g., machine learning, behavioral analytics)
Experience working across multiple database platforms, both on premises, such as Teradata, Oracle, Hadoop, as well as on Cloud solutions such as AWS and Snowflake
Demonstrated experience with process automation using tools such as Alteryx, Python, R, Tableau, SAS, SQL/PLSQL, VBA, SharePoint and other Business Intelligence tools
Demonstrated experience conducting data analysis with ability to tell compelling stories using data
Strong proficiency in Python, and data visualization tools
Experience in recommendation systems
Responsibilities
Apply strategic, data science and quantitative skills within Regulatory Operations
Develop knowledge of operational processes managed within the pillar and help uncover opportunities using advanced analytics (AI/ML/LLM), research, and automation
Partner with subject matter experts and management to deliver automation solutions from idea conception through implementation
Manage data science and analytics strategies including recommendations on analytical products, services, protocols, and standards across the firm
Invent creative and innovative ways to answer key business questions by leveraging advanced analytics (AI/ML/LLM) & automation ; to improve efficiency and productivity of business user through automation and self-service
Decrease the analytics development lifecycle and increase the velocity at which analysts can disseminate insights
Socialize, promote and support the implementation of the analytic solutions, working with teams across all business units to identify and recommend ways to leverage it for specific deliverables, including automation solutions, dashboards, reports, Ad-hoc requests, deep dives, Industry study research etc
Other
Bachelor’s degree in relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)
Able to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic
Be a team player who can help build around other people’s work and can be a strong collaborator
