Quant Analytics [Multiple Positions Available]

Wilmington, DE

Full-time

Onsite

Entry, Mid Level

JPMorganChase is a leading financial services firm that aims to help households and small businesses achieve their financial goals. They are seeking a Quant Analytics professional to drive analytics efforts, develop strategic roadmaps, and provide insights to enhance customer engagement and grow the credit card business.

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Responsibilities

Devise and evaluate methods and procedures for collecting data
Conduct research and recommend marketing strategies in the digital space to the card business
Drive analytics effort to grow new card acquisitions and existing customer's engagement on key digital marketing channels
Interface with cross-functional strategy teams to setup digital KPI's and drive the tracking and reporting in those channels
Help develop strategic roadmaps to achieve KPI's and drive the tracking and reporting in those channels
Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
Provide strategic thought leadership and pro-actively identify new opportunities to grow in partnership with cross-functional teams
Provide customer profile and segmentation analysis to understand impact on performance with different product offerings and channel strategies associated with the credit card business
Innovate, architect, and design to put the data to use by leveraging data mining capabilities to grow the J.P. Morgan & Chase Business through acquisitions and increased product usage
Collaborate with development teams to automate and combine data across products and channel
Perform reporting functions for digital campaigns for use in decision making
Identify and execute automation opportunities for key stakeholders

Qualification

Required

Master's degree in Business Analytics, Statistics, Economics, or related field of study plus two (2) years of experience in the job offered or as Quant Analytics, Marketing Analytics, Risk and Financial Advisory, Engineer or related occupation
Alternatively, a Bachelor's degree in Business Analytics, Statistics, Economics, or related field of study plus four (4) years of experience in the job offered or as Quant Analytics, Marketing Analytics, Risk and Financial Advisory, Engineer or related occupation
Two (2) years of experience with leading performance measurement and analytics for clients in the financial services industry
Two (2) years of experience with designing and developing interactive analytical reports in Microsoft Excel and PowerPoint utilizing functionalities including VLOOKUP, INDEX MATCH, array formulas, pivot tables, data analysis add-ons, dynamic filters, and embedded objects to automate data analysis and presentation workflows
Two (2) years of experience with creating executive-ready presentations in Microsoft PowerPoint by integrating dynamic data visualizations, scenario analysis outputs, and automated links to Excel data
Two (2) years of experience with querying structured datasets using SQL techniques including window functions, CTEs, and stored procedures for complex data manipulation, transformation, and in-depth analysis
Two (2) years of experience with developing data visualizations using Tableau or Power BI by implementing calculated fields, parameter controls, real-time data integration, and advanced data cleaning to monitor KPIs and visualize business trends
One (1) year of experience with using Python libraries including pandas, and NumPy for complex data manipulation, transformation, and in-depth analysis
One (1) year of experience with applying statistical techniques including hypothesis testing z-test, ANOVA, and correlation analysis to assess the statistical significance of A/B experiments and providing data-driven recommendations that support strategic decision-making
One (1) year of experience with automating recurring reporting processes and building end-to-end data workflows in Alteryx using data blending, transformation, and custom macros to enable scalable and repeatable insight generation
Any amount of experience with translating complex data into actionable insights for both technical and business stakeholders
Any amount of experience with applying machine learning techniques including regression analysis, classification algorithms, cohort analysis, associative rule mining, and scenario simulation to evaluate business performance, predict outcomes, and track behavioral trends over time

Preferred

Benefits

Commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

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