Senior Associate Data Scientist

Job Description
Make your mark on recognizing and communicating meaningful trends/patterns in data and reporting, identifying and validating data sources, and advising business and technology partners on data-promoted opportunities to increase efficiency and improve customer experience.
Working for Chase Home Lending data modeling team provides the opportunity to be exposed to different aspects of the business (from marketing, to originations, and servicing) to understand the linkage between them, and make creative machine learning models and reports that will have a real life measurable impact on customer experience and the business.
Job Responsibilities:

• Recognizes and communicates meaningful trends/patterns in data and reporting
• Identifies and validates data sources and serving as a data expert and consultant to the predictive modeling team
• Advises business and technology partners on data-driven opportunities to increase efficiency and improve customer experience
• Interfaces proactively with, and gathering information from, other areas of the business (Operations, Technology, Finance, Marketing)
• Extracts data from various sources and technologies using complex SQL queries

Required qualifications, capabilities and skills:

• Understand the problem statements, find the best course of action, and be creative.
• Collaborate with the business, developers, managers, and other stakeholders to implement the models, deliver the analytics, and integrate the new discoveries into existing models.
• Learn quickly about different aspects of the business as well as different modeling methods.
• Evaluate and monitor the performance of the new and/or existing models.
• Continuously improve the models and automate the reports and procedures.
• Explore new data, techniques, and environments in order to enhance current models and processes.
• Articulate the model results and analytical findings in concise and clear manner using presentations and visualizations.

Preferred qualifications, capabilities and skills:

• Advanced degree in analytical fields (e.g. Computer Science, Data Science, Engineering, Statistics, Data Analytics, Applied Mathematics)
• Working knowledge on both supervised and unsupervised machine learning algorithms. Experience working with XGBoost, Random Forest, and Deep Learning.
• Experience with various modern analytics and data tools specially Python and SQL. Experience in AWS, R, Alteryx, SPSS Modeler, or SAS.
• Strong knowledge and experience on model evaluation methods and techniques.
• Being excellent in teamwork, problem solving, and out-of-the box thinking.
• Experience with data visualization techniques and big data technologies.
• Excellent written and oral communication and presentation skills with experience on documenting the models and procedures in an organized manner.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.