Job Summary
As a Quant Analytics Associate - Data Visualization within our Global Analytics Center, you will be required to analyze business needs, propose automated reporting solutions to save cost and minimize risk while complying with all of the established controls. You will design and build the solution and perform QC before implementing the solution. Your duties may also include generation of regular and special reports and recommendation of changes in methods or procedures to increase efficiency and productivity.
Job responsibilities
- Conduct business process review, process and data flow and develop automated solutions aimed at maximizing efficiency and minimizing risk.
- Maintain business process tools and ensure compliance with changing business processes and requirements.
- Gathers, inputs and manipulates data for routine/standard business and/or financial analysis and reporting purposes
- Conduct business process, comparative and loan portfolio performance analysis and provide actionable business insights
- Validates accuracy of data and assists with report preparation
- Helps solve problems and may distribute reports to internal and external audiences
- Articulates the results of the analyses in reports, presentations, and recommendations to key stakeholders
- Develop knowledge of business process and procedures and business applications and become subject matter expert within function
Required qualifications, capabilities and skills
- 4-7 years of experience in business analysis, BI solutions development, Process design and reporting
- Excellent command of the SQL language and technical understanding of common RDBMS systems; (e.g. Snowflake, Teradata, AWS Environment, Oracle)
- Knowledge of Python, VBA Scripts and Visio will be a plus
- Knowledge of version control tools and processes (e.g. Subversion, Git Bitbucket )
- Advanced PC Skills, Word, PowerPoint, and Excel (graphs, charts, formulas etc.)
- Must possess the ability to work and research/resolve issues independently while sharing best practices and knowledge with colleagues
- Ability to understand business needs, diagnose performance issues, and develop recommendations through combination of data analysis and business critical thinking
- Assure the integrity of data, through extraction, manipulation, processing, analysis and reporting.
- Prior experience in collection strategy, loss forecasting, marketing, portfolio performance analysis, risk management working in US Auto Finance (Loan and/or Lease) industry would be a preference.
Preferred qualifications, capabilities and skills
- Experience with big data transformation and wrangling tools and languages such as Alteryx, Trifacta, Spark, Scala, etc.)
- Knowledge of Chase Auto Finance systems (ALA, ACAPS, CALS)
- In-depth knowledge of consumer and wholesale banking data