Job Description:

Vice President Data Scientist Lead

Chase

Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.5 trillion and operations worldwide. Chase serves nearly half of America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com.

Home Lending D&A (Data and Analytics)

Chase Home Lending is one of the lines of business under CCB (Consumer & community Bank) which provides financial services in a wide variety of mortgage products. Being one of the top mortgage providers in the U.S., we have large amounts of data available for analytics, reporting, and modeling. We also have an experienced dedicated data team that supports us in all these efforts.

Working for Chase Home Lending data modeling team provides the opportunity to be exposed to different aspects of the business (from marketing, to originations, servicing, and...), 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.

The Vice President Data Scientist Lead is responsible for supporting the team to:

• Plan, develop, and execute analytical projects using different techniques.
• 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.
• Manage diverse book of work effectively.
• Evaluate and monitor the performance of the new and/or existing models.
• Deliver the models and analytics on-time.
• Continuously improve the models and automate the reports and procedures.
• Effectively organize the codes and document the models.
• 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.

Basic Qualifications:

• Advanced degree in analytical fields (e.g. Computer Science, Data Science, Engineering, Statistics, Data Analytics, Applied Mathematics)
• Extensive work experience and knowledge on both supervised and unsupervised machine learning algorithms. Experience working with XGBoost, Random Forest, and Deep Learning is preferred.
• Thought leader in analytics and data science who can define clear goals and roadmaps for projects.
• Experience with various modern analytics and data tools specially R and/or Python, Alteryx and/or SPSS Modeler, SQL, and Hive.
• 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.
• Ability to multi-task, keeping multiple projects on track, and deliver results on-time.
• Mortgage or financial services background is preferred but not required.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

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