Business Banking - Data Scientist [Multiple Positions Available]

JPMorganChase • Plano, TX

9h • Onsite

About The Position

This role involves analyzing and interpreting data sets to support strategic initiatives and financial planning within Business Banking. The Data Scientist will develop and deploy machine learning models for financial outcome prediction and trend identification, perform risk-based analyses on client portfolios, and utilize anomaly detection techniques for data integrity and decision-making. The position also includes automating data extraction, cleaning, transformation, and loading processes, and leveraging data visualization tools to present insights to stakeholders. Handling data from multiple sources and optimizing data visualization using web technologies are also key aspects of the role.

Requirements

• Master's degree in Management Information Systems, Computer Engineering, Computer Science, Data Science, or related field of study.
• 2 years of experience in the job offered or as Business Banking - Data Scientist, Data Analyst, Business Analyst, Data Scientist, Data Engineer, Software Developer, or related occupation.
• 2 years of experience with data processing, advanced data analysis, insight generation to power data visualization solutions using Tableau, SAP Business Intelligence software, and Power BI.
• 2 years of experience executing complex data wrangling using SQL.
• 2 years of experience integrating data using ETL processes.
• 2 years of experience with data automation using MySQL and SAP ERP software.
• 2 years of experience analyzing data and statistics to assess and quantify risk to inform business strategies.
• 1 year of experience automating data processes, statistical analysis, and spatial analytics using Python v3.8 and python packages including scikit-learn version 0.20.3, statsmodels, and ArcGIS Pro 2.6.
• 1 year of experience with predictive modeling and outlier detection using techniques such as Random Forest, Local Outlier identification, Isolation Forest, or Multivariate regression.

Responsibilities

• Analyze and interpret data sets to support strategic initiatives and financial planning.
• Develop and deploy machine learning models to predict financial outcomes and identify trends.
• Perform risk-based analyses to identify trends within client portfolios.
• Utilize anomaly detection techniques to ensure data integrity and drive decision making.
• Automate data extraction, cleaning, transformation and loading processes.
• Leverage data visualization tools to present insights to stakeholders.
• Handle data from multiple sources for data processing and analysis.
• Utilize web technologies to optimize data visualization when delivering to stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level