Job Description
DESCRIPTION:
Duties: Create complex, sustainable analytical model with a complete view of the clients by integrating data from multiple sources to enable AI/ML driven cross-sell product recommendations for existing banking clients and improve sales for the prospective banking clients leveraging advanced SQL and Python programming skills, BI tools like Alteryx or SAP HANA or SAP BI/BW or Redshift coupled with the knowledge of multivariate statistics, quantitative modeling, and advanced analytical methods (e.g. regression, classification, experimentation, and supervised machine learning as needed). Perform data discovery and data analytics to identify insights from data to improve existing financial products and decision making. Work on business outcomes through data and analytics, utilizing internal and external data. Collaborate with product managers, data architects, software engineers and business analysts, in building a company centric data product in a production environment which will be utilized by client-facing teams impacting revenue of the bank. Explain complicated data problems and solutions to the audiences across multiple levels of the banking organization that are not familiar with complex machine learning techniques. Work on data migration from legacy systems to improve systems performance and reliability.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Business Analytics, Data Science, Statistics, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Business Analyst, Programmer Analyst, Data Consultant, or related occupation.
Skills Required: Requires experience in the following: building analytical data models that integrate disparate data sources; SQL; Python; Business Intelligence tools such as Alteryx or SAP HANA or SAP BI/BW or AWS Redshift; developing real-life quantitative models in a large-scale enterprise setting using advanced analytical methods, including multiple linear or logistic regression or clustering or anomaly detection; Data migration to the Cloud or alternate systems; developing AI/ML models; and automating data transformation processes in AWS.
Job Location: 8181 Communications Pkwy, Plano, TX 75024. Telecommuting permitted up to 40% of the week.
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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Commercial Banking is focused on helping our clients succeed and making a positive difference in our communities. We provide credit and financing, treasury and payment services, international banking and real estate services to clients including corporations, municipalities, institutions, real estate investors and owners, and nonprofit organizations.
Top Skills
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.