Job Description

Job Category: Quant Analytics
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Join us to elevate your career in business intelligence and analytics.
As a Quant Analytics Associate within J.P. Morgan, you will design and implement automated reporting solutions to boost efficiency and reduce risk. You will work closely with stakeholders to provide high-quality insights and support the firm's business objectives.
Job Responsibilities

• Analyze business needs and propose automated reporting solutions.
• Design, build, and implement solutions with quality control.
• Generate regular and special reports, recommending changes for efficiency.
• Conduct business process reviews and develop automated solutions.
• Maintain business process tools and ensure compliance.
• Gather, input, and manipulate data for analysis and reporting.
• Provide actionable business insights through analysis.
• Validate data accuracy and assist with report preparation.
• Articulate analysis results in reports and presentations.

Required Qualifications, Capabilities, and Skills

• 5+ years of experience in business analysis and BI solutions development.
• Bachelor's/Master's degree in Accounting, Finance, Business Administration, Statistics, Mathematics, Computer Science, MIS, or a related discipline with 5+ years of experience.
• Excellent command of SQL and understanding of RDBMS systems.
• Proficiency in reporting tools like Tableau, QlikView, and Business Objects.
• 3+ years of experience with data transformation tools like Alteryx and Python.
• Advanced skills in Word, PowerPoint, and Excel.
• Strong written and verbal communication skills with an ability to work independently and share best practices.
• Detail-oriented with good judgment and resourcefulness.

Preferred Qualifications, Capabilities, and Skills

• Experience with big data transformation tools like Spark and Scala.
• Knowledge of Chase Auto Finance systems.
• In-depth knowledge of consumer and wholesale banking data.

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 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.