Quant Analytics [Multiple Positions Available]

JPMorganChase•Columbus, OH

9d•Onsite

About The Position

This role involves applying strategic, data science, and quantitative skills within Regulatory Operations, focusing on areas such as Suspicious Activity Reporting, Know Your Customer processes, fraud detection, dispute resolution, and credit bureau furnishing compliance. The position requires engaging with stakeholders to understand business drivers and opportunities, developing knowledge of operational processes to identify areas for data analysis and automation, and partnering with subject matter experts to deliver automation solutions from conception to implementation. The role also includes managing data science and analytics strategies, inventing creative ways to answer business questions through analytics and automation to improve efficiency and productivity, and shortening the analytics development lifecycle. Responsibilities also encompass socializing and promoting analytic solutions, working with business units to leverage them for deliverables like automation solutions, dashboards, reports, and research, and delivering practical data insights to senior leadership through presentations and visualizations. Additionally, the role involves building and deploying machine learning models, researching emerging analytical technologies and AI methodologies, utilizing behavioral analytics, designing ETL procedures, and leading a team of Quantitative Analysts. The position requires 15% domestic travel to JPMC U.S. offices for internal meetings.

Requirements

Master's degree in Computer Science, Computer Information Systems, Business Analytics, Data Science, Data Analytics, Advanced Analytics or related field of study
5 years of experience in the job offered or as Quant Analytics Associate Sr, Data Reporting Analyst, Data Scientist, Advisory Associate Solution Advisor, or related occupation.
Experience in the occupation may be gained through professional work experience, graduate work experience, or internships.
Building supervised machine learning models including logistic regression, multivariate regression, classification techniques, cohort analysis, associative rule mining, and predictive modeling
Advanced techniques including graph analytics, node embeddings, dimensionality reduction, and recommendation systems
Behavioral analytics for identifying patterns and trends in large datasets
Conducting research to explore open-ended analytical problems and designing machine learning solutions
Leading analytical projects end-to-end from problem definition and hypothesis formulation through data analysis, model development, implementation, and stakeholder presentation
Python for data manipulation, automation, machine learning development, and text mining using NLTK
SQL for query optimization and database management
Tableau for end-to-end dashboard development and deployment on Tableau Server
SAS for statistical analysis and production pipelines
Alteryx for workflow automation and ETL procedures
Excel and VBA for interactive reports including lookup, index match, pivots, and data analysis add-ons
On-premises databases including Teradata and Oracle
Cloud platforms including AWS and Snowflake
Automation tools including Alteryx and Python
SharePoint

Responsibilities

Apply strategic, data science and quantitative skills within Regulatory Operations including Suspicious Activity Reporting, Know Your Customer processes, fraud detection, dispute resolution, and credit bureau furnishing compliance.
Engage stakeholders and consolidate partnerships to continuously understand business drivers, goals, priorities and opportunities.
Develop knowledge of operational processes managed within the pillar and help uncover opportunities for data analysis 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 analytics and automation to improve efficiency and productivity of business users through automation and self-service.
Shorten the analytics development lifecycle and increase the velocity at which analysts can disseminate insights.
Socialize, promote, and support the implementation of the analytic solution, working with teams across all business units to identify and recommend ways to leverage it for specific deliverables, including automation solutions, dashboards, reports, adhoc requests, deep dives, and industry study research.
Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations.
Build and deploy machine learning models including classification models, predictive models, and recommendation systems to identify patterns in financial transactions, credit bureau data, and operational data.
Research and evaluate emerging analytical technologies and AI methodologies to identify opportunities for business process improvement and automation.
Utilize behavioral analytics techniques to analyze customer behavior patterns and identify anomalies in operational processes.
Design and develop ETL procedures to combine complex high volume data from multiple sources including credit bureau data and create interactive dashboards and reports using business intelligence tools.
Lead and manage a team of Quantitative Analysts, including assigning tasks, providing technical guidance, conducting performance reviews, and ensuring timely project delivery.