Quant Analytics [Multiple Positions Available]

JPMorgan Chase & Co.•Columbus, OH

1d•$139,000 - $175,000•Onsite

About The Position

This role involves evaluating the performance of Business Banking deposit and cash management products, providing data-driven insights for product development and enhancements, and assisting in the development and evaluation of pricing strategies. The position will analyze small business behavior through money movement services, create and maintain dashboards and reports, and build data assets for the data and analytics team. Additionally, the role will identify opportunities for process streamlining and automation, participate in monthly product reviews with senior leaders, and represent Data & Analytics in cross-functional teams.

Requirements

Master's degree in Business Analytics, Economics, Mathematics, Business Administration, Computer Science, Statistics, or related field of study plus three (3) years of experience in the job offered or as Quant Analytics, Quantitative Marketing Analyst, Data Analytics Co-op, Data Analyst, or related occupation.
Alternatively, a Bachelor's degree in Business Analytics, Economics, Mathematics, Business Administration, Computer Science, Statistics, or related field of study plus five (5) years of experience in the job offered or as Quant Analytics, Quantitative Marketing Analyst, Data Analytics Co-op, Data Analyst, or related occupation.
Three (3) years of experience with selecting and implementing data visualization techniques in Excel to present information clearly.
Three (3) years of experience with wrangling, manipulating, analyzing, and interpreting datasets using SQL, SAS, Python, and Alteryx.
Three (3) years of experience with extracting and processing data from data warehouses using Snowflake and Teradata.
Two (2) years of experience creating Extract, Transform, Load process for curated datasets that support robust analysis, reporting, and decision-making.

Nice To Haves

Designing banking deposit products and cash management money movement services to be utilized by business owners for conducting daily financial activities.
Utilizing SQL to analyze banking transaction data, uncover behavioral trends and patterns, and provide actionable insights for product innovation and enhancement.
Examining banking customer demographic data to inform and tailor targeted product development and offerings.
Applying machine learning techniques to segment banking customers and drive personalized strategies.
Supporting the creation, evaluation, and optimization of banking fee pricing strategies through data-driven analysis.
Creating and delivering post-launch reporting to assess customer impact and ensure new banking product changes meet intended outcomes.
Conducting competitor benchmarking to evaluate banking product features and pricing strategies.
Designing consultant-style PowerPoint presentations that communicate data-driven insights and recommendations to senior leadership and stakeholders.
Defining system rules and logic flows within technical requirements for new product features and enhancements.
Facilitating collaborative working sessions with business partners to review analytical progress and gather feedback.
Automating processes to strengthen controls, reduce errors, and improve operational efficiency.
Cleansing data by addressing null values, duplicate values, and erroneous entries to ensure data integrity.
Leveraging large language models to comment, optimize, and debug code for improved development efficiency.

Responsibilities

Evaluate the performance of Business Banking deposit and cash management products.
Provide data-driven insights to product managers and business leaders for new product development and enhancements.
Assist in the development and evaluation of pricing strategies for banking fees and benefits.
Analyze and summarize the behavior of small businesses through banking money movement services.
Create and maintain dashboards and reports to monitor key metrics.
Build, maintain, and enhance data assets for broad usage by data and analytics team members.
Identify opportunities to streamline and automate processes.
Participate in monthly product reviews with senior leaders.
Represent Data & Analytics while working with Product, Design, Technology team members.