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.