Quant Analytics Senior Associate - Banking Payments

JPMorgan Chase

New York, NY

Full Time

Mid Level

12 days ago

Job Description

About the Role

Join our Data and Analytics team to shape the future of consumer banking through innovative, data-driven solutions. As a Senior quant analytics associate, you'll collaborate with talented colleagues and leverage advanced analytics to deliver personalized customer experiences. Grow your career in a dynamic environment that values learning, diversity, and mobility. Be part of a team where your skills make a difference and your ideas drive change. As a Senior Quant analytics associate in Banking Payments Analytics within the Data and Analytics organization, you will partner with Payments Product Owners to deliver descriptive, diagnostic, predictive, and prescriptive analytics. You will define metrics, source data, develop queries, and create reports to drive customer engagement. You'll work closely with cross-functional teams, translating data into actionable insights and supporting the firm's mission to lead in consumer banking.

Key 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 for ease of cross-organization consumption
Partner and collaborate with Product, Data Management, Strategy, Technology, and D&A teams to understand requirements and objectives
Translate data into meaningful insights and present compelling stories to stakeholders for decision making
Produce, optimize, and automate recurrent reports
Build consensus with Product Owners on metrics, data sourcing, and reporting
Develop queries and create reports to drive customer engagement
Support the development of personalized money movement and payment services
Facilitate holistic, cross-functional learning within the D&A community
Disseminate analytic knowledge across teams

Requirements

Intermediate knowledge of SQL, Alteryx, and Tableau
Bachelor's degree with three years of analytics experience
Experience with Hadoop, Teradata, Oracle, and SQL databases
Ability to explain and convert complex concepts into digestible information for varied audiences
Demonstrated initiative and ability to complete projects independently
Highly organized and able to prioritize multiple tasks
Good written and oral communication skills
Operational business knowledge of processes, data, controls, and technology platforms

Nice to Have

Functional industry experience in operations, marketing, credit/risk, technology, or finance
Intermediate knowledge of Machine Learning
Basic skills with JIRA, Confluence
Experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake, and Alteryx
Experience with visualization techniques for data analysis and presentation (Tableau preferred)
Familiarity with Cloud (AWS, Snowflake) based data solutions and tools
Proficiency in Microsoft Word, Excel, PowerPoint
Adobe Analytics knowledge