Quant Analytics Associate - Marketing Analytics

Key Skills

Adobe Analytics, Data science techniques, Database, Effective communication skills, Google-Analytics, Machine learning techniques, Marketing analytics, Powerpoint, Python Programming, Quantitative models, R Programming, SAS, SQL

Job Description

This is an exciting opportunity for a candidate with strong analytical and problem-solving skills to develop business intelligence and visual analytics solutions in the Auto Finance business domain. You will have the chance to leverage your technical skills, understanding of data science, and commitment to high-quality results in a dynamic and rewarding environment.

As a Quant Analytics Associate in our Auto Finance business domain, you will be expected to possess strong analytical and problem-solving skills. You will have the opportunity to demonstrate your experience in developing business intelligence and visual analytics solutions. We value your technical skills, understanding of data science, and commitment to producing high-quality results. Your familiarity in financial services institutional data and systems will be highly beneficial in this role. 

Job responsibilities:

• Will own and support marketing analytics for digital engagement and retention programs for all card products.A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
• Create 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
• Develop and maintain operational dashboards to assist business functions
• Partner 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
• Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.
• Perform advanced analytics (eg: develop customer segmentation) leveraging statistical techniques to develop framework for differentiated offering strategies to drive marketing efficiencies.
• Interact 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 3-5 years of relevant experience.
• Expert in SAS/SQL. Proficiency with programming languages such as R/Python
• Understanding of digital marketing tools (Google Analytics, Adobe Analytics) is preferred
• Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)
• 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
• Understanding of credit card P&L

Preferred qualifications, capabilities and skills:

• Understanding of credit card P&L

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.