Operations Automation [Multiple Positions Available]

JPMorgan Chase & Co.•Newark, DE

3h•Onsite

About The Position

This role involves analyzing large datasets to identify trends and patterns for operational improvements and compliance. You will gather, analyze, and interpret data to identify operational challenges, contribute to informed decision-making, and ensure secure application development. Responsibilities include creating management dashboards to highlight key metrics for strategic planning and performance monitoring, delivering end-to-end data solutions and process automations, and developing/deploying AI and ML models to automate complex processes, improve decision-making, and provide predictive insights. You will also monitor low-code and no-code automation in test and production environments, collaborate with stakeholders on OKRs to deliver benefits from operational automation, and conduct requirement analysis and quality assurance for application releases and test environments. Ensuring data accuracy and compliance with US tax regulations in documentation is also a key part of this role.

Requirements

3- or 4-year Bachelor's degree in Physics, Computer Science, Computer Engineering, or related field of study.
7 years of experience in analyzing requirements and quality assurance for completeness, coverage, correctness, and testability.
6 years of experience in analyzing datasets to identify trends, patterns, and insights.
6 years of experience in providing data-driven insights to support initiatives.
6 years of experience in analyzing business processes, events, and flows.
Experience with streamlining data preparation, data blending, and advanced analytics to automate workflows using tools including Alteryx.
Experience with transforming processed data into interactive dashboards and reports using tools including Tableau.
Experience with interpreting and presenting datasets to facilitate strategic planning and performance monitoring using python libraries including Matplotlib and Seaborn.
Experience with performing data analytics, data cleaning, manipulation, and statistical analysis using Python through libraries such as Pandas, NumPy, or Scipy.
Experience with developing and deploying AI models to automate processes and provide predictive insights.
Experience with identifying stakeholders and OKRs, KPIs, and metrics.
Experience with performing document data extraction of information from documents such as PDFs, emails, contracts, or reports by leveraging natural language processing.
Experience with modeling, executing, and automating business decision logic using DMN drools framework.
Experience with designing, testing, and validating DMN decision models using BPMN tools including Signavio.
Experience with creating of automated test scripts that simulate user interactions, validating application functionality, and evaluating software quality using scripting language and frameworks including JavaScript, Gherkin, and Selenium.
Experience with building test plans, timeline charts, progress, and status reports.
Experience with identifying defects and deviations from original requirements and finding solutions.
Experience with conducting root cause analysis and assessing key blockers.
Experience with translating US tax regulations and compliance requirements into intelligent automation solutions.
Experience with developing dashboards to monitor compliance and identify potential risks.

Responsibilities

Analyze large datasets to identify trends, patterns, and insights that can drive operational improvements and ensure compliance.
Gather, analyze, and interpret data sets to identify operational challenges and contribute to informed decision-making, ensuring secure and stable application development.
Create dashboards for management, to highlight key metrics to facilitate strategic planning and performance monitoring.
Deliver end-to-end data solutions and process automations.
Develop and Deploy AI and ML models to automate complex processes, improve decision-making, and provide predictive insights.
Collect, analyze and monitor low-code and no-code automation in test and production environments.
Collaborate with key stakeholders on Objectives and Key Results to deliver benefits from operational automation.
Conduct analysis of requirements and quality assurance for completeness, coverage, correctness, and testability, for application releases and test environments.
Ensure data accuracy and compliance with tax regulations in US documentation and compliance.
Streamline documentation processes with Tax Operations, verifying that tax forms collected from clients contain all required information in accordance with regulatory standards.