Quant Analytics Associate - SQL, Tableau/Altryx

Job Description
Unlock efficiency and minimize risk with our automated reporting solutions. Tailored to your business needs, we streamline processes and boost productivity.
As a Quant Analytics Associate within the Auto Data and Analytics team, you'll analyze business needs and propose automated reporting solutions to reduce costs and minimize risk while adhering to established controls. You'll design, build, and perform quality checks on solutions before implementation. Additionally, you'll generate regular and special reports and recommend procedural changes to boost efficiency and productivity.
Job responsibilities

• Develop business intelligence and visual analytics solutions for the Auto Finance domain.
• Conduct business process reviews and create automated solutions to enhance efficiency and minimize risk.
• Maintain business process tools, ensuring compliance with evolving requirements.
• Gather, input, and manipulate data for standard business and financial analysis.
• Analyze business processes and loan portfolio performance to provide actionable insights.
• Validate data accuracy, assist in report preparation, and distribute reports to audiences.
• Present analysis results and recommendations to stakeholders, becoming a subject matter expert.

Required qualifications, capabilities, and skills

• Minimum 4 years of experience in business analysis, BI solutions development, process design, and reporting.
• Educational background in Accounting, Finance, Business Administration, Statistics, Mathematics, Computer Science, MIS, or related fields.
• Bachelor's or Master's degree required.
• Strong data visualization and storytelling skills.
• Proficient in SQL and familiar with RDBMS systems like Snowflake, Teradata, and Oracle.
• Experience with BI tools such as Tableau, QlikView, and Cognos, and big data platforms.
• Skilled in data transformation tools and languages like Alteryx, Python, and Spark, with knowledge of version control tools like Git and Bitbucket.

Preferred qualifications, capabilities, and skills

• Experience with big data transformation tools and languages like Alteryx, Trifacta, Spark, and Scala.
• Familiarity with Chase Auto Finance systems such as ALA, ACAPS, and CALS.
• In-depth knowledge of consumer and wholesale banking data.
• Experience in collection strategy, loss forecasting, marketing, portfolio performance analysis, and risk management in the US Auto Finance industry preferred.

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.