Quant Analytics Associate​ - SAS, SQL, Python

Job Description
We thrive on curiosity, passion, optimism, and the belief in continuous growth for everyone.
As a Quant Analytics Associate within the Card Acquisitions Forecasting & Offers Analytics team, you will transform data into actionable insights that drive investment strategies for credit card acquisitions. With a strong analytical background, proficiency in data processing and visualization, and the ability and willingness to collaborate effectively with multiple partners, you will be a key member of the team that drives sustainable growth in the Card business.
Job responsibilities

• Owns and supports marketing analytics for spend engagement for all card products. A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
• Creates accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
• Develops and maintain operational dashboards to assist business functions
• Partners with cross functional teams such as Finance, Strategy, Product and Customer Care to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations to business owners
• Synthesizes large volumes of data into meaningful insights and promote actionable strategies in card services.
• Performs advanced analytics (eg: develop customer segmentation) leveraging statistical techniques to develop framework for differentiated offering strategies to drive marketing efficiencies.
• Interacts regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer focused analysis and performance to realize growth opportunities. Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
• Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment

Required qualifications, capabilities, and skills

• BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance) with minimum 4 years of relevant experience.
• Expert in SAS/SQL. Proficiency with programming languages such as R/Python
• Working knowledge of advanced statistical concepts
• Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
• Strong oral and written communication skills
• Experience in summarizing data and building presentations using Powerpoint

Preferred qualifications, capabilities, and skills

• Intermediate to expert experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
• Experience in credit cards and/or retail banking
• Machine learning techniques, understanding of credit card P&L is preferred
• Understanding of digital marketing tools (Google Analytics, Adobe Analytics) is preferred

About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.