Quant Analytics [Multiple Positions Available]

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 139,000 - 175,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH is seeking a Data Analytics specialist to evaluate performance of Business Banking deposits and cash management products, and deliver data-driven insights to product managers and leaders.

You will build dashboards, analyze customer behavior, assist in pricing strategies, and collaborate with product, design and technology teams to drive enhancements. Full-time role in Columbus with a salary band of $139,000–$175,000 per year; requires advanced analytics, SQL,

Qualifications

• Master’s in Analytics or related field with 3 years’ experience.
• Alternative: Bachelor’s in same fields with 5 years’ experience.
• Experience in data visualization and data analysis required.

Responsibilities

• Evaluate the performance of Business Banking deposit and cash management products.
• Provide data-driven insights to product managers and leaders for new product development and enhancements.
• Develop and evaluate 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 and enhance data assets for broad usage by data and analytics teams.
• Identify opportunities to streamline and automate processes.
• Participate in monthly product reviews with senior leaders.

Skills

Excel visuals

SQL

SAS

Python

Alteryx

ETL processes

Data analysis

Machine learning

PowerPoint

Education

Master's degree in Analytics

Bachelor's degree in Analytics

Tools

Snowflake

Teradata

Job description

DESCRIPTION:

Duties: 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.

QUALIFICATIONS:

Minimum education and experience required: 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. The employer will alternatively accept 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.

Skills Required:

Skills Required: This position requires three (3) years of experience with the following: selecting and implementing data visualization techniques in Excel to present information clearly; wrangling, manipulating, analyzing, and interpreting datasets using SQL, SAS, Python, and Alteryx; extracting and processing data from data warehouses using Snowflake and Teradata. This position requires two (2) years of experience with the following: creating Extract, Transform, Load process for curated datasets that support robust analysis, reporting, and decision-making. This position requires any amount of experience with the following: 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.

Job Location:

1111 Polaris Pkwy, Columbus, OH 43240.

Full-Time. Salary: $139,000 - $175,000 per year.