Quant Analytics Sr Associate

As a Sr Quant Associate, you will be a key member of the Commerce Enablement Analytics team within the broader Data and Analytics organization. You will work closely with Commerce Enablement Product Owners to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics with a focus on Controls, Risk, Regulatory areas. In particular, you will strive to build consensus with Product Owners on if, where, when, how, and whom to drive customer engagement by defining metrics, sourcing data, developing queries, and creating reports.
Job Responsibilities:
Understand and translate business needs into data models supporting long-term solutions.
Create data points using best practices to ensure high data quality and reduced redundancy.
Rationalize complex normalized data sets allowing for ease of cross org consumption.
Partner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources. across multiple functional units to understand business requirements and objectives.
Translate data into meaningful insights and present a compelling story to stakeholders for decision making.
Bring in experience in the production, optimization and automation of recurrent reports.
Required qualifications, Capabilities and skills:
Intermediate knowledge of SQL, Alteryx and Tableau.
Bachelors with 3+ years of analytics experience and Adobe Analytics knowledge.
Experience with AWS, Snowflake, Oracle and SQL DBs.
Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise
Intellectually curious and eager to learn new things with an eye for innovation
Being able to demonstrate initiative, completing projects/tasks independently is highly desire
Highly organized and able to prioritize multiple tasks
Good written and oral communication skills.
Operational business knowledge of processes, data, controls, and technology platforms.
Familiarity with Cloud (AWS, Snowflake) based data solutions and tools.
Preferred qualifications, capabilities and skills:
Functional industry experience in operations, marketing, credit/risk, technology or finance.
Intermediate knowledge of Machine Learning and Copilot.
Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Snowflake, AWS, etc.).
Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key
Experience with visualization techniques for data analysis and presentation (Tableau preferred)
Basic skills with JIRA, Confluence.
Proficiency in Microsoft Word, Excel, PowerPoint.
We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).