Quant Analytics Analyst

JOB DESCRIPTION

Join us to advance your data analytics career and drive innovation in Auto Finance with cutting-edge technology.

As a Quant Analytics Analyst within the Auto Finance team, you will design and implement business intelligence solutions that enhance efficiency and minimize risk. You will collaborate with stakeholders to deliver high-quality analytics and actionable insights supporting our business objectives.

Job responsibilities

• Conduct business process reviews and develop automated solutions to maximize efficiency and minimize risk.
• Maintain and enhance business process tools in line with evolving requirements.
• Gather, input, and manipulate data for business and financial analysis and reporting.
• Perform comparative and loan portfolio performance analysis to provide actionable insights.
• Validate data accuracy and assist with report preparation and distribution.
• Articulate analysis results in reports, presentations, and recommendations to stakeholders.
• Develop subject matter expertise in business processes, procedures, and applications.

Required qualifications, capabilities and skills

• Bachelor's or Master's degree in Accounting, Finance, Business Administration, Statistics, Mathematics, Computer Science, MIS, or related discipline
• Five years of experience in data analytics, business intelligence, or process design
• Hands-on experience with Alteryx, Tableau, SQL, and Python
• Proficient in reporting and business intelligence tools such as Tableau, QlikView, Business Objects, or Cognos
• Strong command of SQL and understanding of RDBMS systems (e.g., Snowflake, Teradata, Oracle)
• Experience with data transformation and wrangling tools and languages such as Alteryx and Python
• Advanced skills in Word, PowerPoint, and Excel for data visualization and reporting

Preferred qualifications, capabilities and skills

• Experience with big data tools and languages such as Trifacta, Spark, or Scala
• Knowledge of version control tools and processes (e.g., Subversion, Git, Bitbucket)
• Prior experience in US Auto Finance industry, including collection strategy, loss forecasting, marketing, or risk management
• Familiarity with Chase Auto Finance systems

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.