Data Scientist [Multiple Positions Available]

JPMorganChase•Jersey City, WA

1d•Onsite

About The Position

This role involves extracting and transforming data from various sources and technologies using complex SQL queries. The Data Scientist will gather, document, and clarify reporting requirements from business partners, and will be responsible for creating, enhancing, updating, and testing reports and stored procedures. Additionally, the role includes troubleshooting and resolving production reporting issues, recognizing and communicating meaningful trends and patterns in data, identifying and validating data sources, and serving as a data expert. The Data Scientist will advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience, and will proactively interface with other business areas such as Operations, Technology, Finance, and Marketing.

Requirements

Master's degree in Risk Management, Management, Business Analytics, Data Science, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Strategic Analyst, or related occupation.
Alternatively, a Bachelor's degree in Risk Management, Management, Business Analytics, Data Science, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Strategic Analyst, or related occupation.
Managing digital queues, pricing, and life process of a mortgage.
Performing data manipulation and query optimization on millions to tens of millions data sets using SQL in either Microsoft SQL server or Alteryx Designer.
Creating visualizations using Excel, Python, or Tableau to communicate findings and insights to senior management.
Working on end to end projects to develop Tableau dashboards to gather business requirements, providing SQL code to software developers building mock-ups in Tableau or Excel.
Using Python to build out statistical analysis including linear or logistic regression and finding outliers.
Utilizing mortgage products, including fixed-rate and adjustable-rate mortgages, government-backed (FHA, VA) and Jumbo loans.
Performing mortgage process, including right party contact, credit pull, application submission, rate lock, to determine the impact of these stages on sales outcomes.
Differentiating between leads originating from digital channels, branch locations, and Home Lending Advisor (HLA) self-sourced efforts to identify and analyze trends across these lead sources.
Utilizing centralized call center operations and branch-based models to determine the impact on business processes and customer experience.

Responsibilities

Extract and transform data from various sources and technologies using complex SQL queries.
Gather, document, and clarify reporting requirements from business partners.
Create, enhance, update, and test reports and stored procedures.
Troubleshoot and resolve production reporting issues.
Recognize and communicate meaningful trends/patterns in data and reporting.
Identify and validate data sources and serve as a data expert.
Advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience.
Proactively interface with, and gather information from, other areas of the business including Operations, Technology, Finance, and Marketing.