Quant Analytics Associate Senior – Business Banking Marketing Analytics

Location: Columbus, OH, United States

Job Family: Quant Analytics

About the Role

At JPMorgan Chase, we are at the forefront of transforming the financial services landscape through innovative data analytics. As a Quant Analytics Associate Senior in Business Banking Marketing Analytics, you will play a pivotal role in delivering data-driven solutions that optimize marketing investments and elevate the digital customer experience for our business clients. Based in our Columbus, OH hub, this position within the Quant Analytics category offers the opportunity to leverage cutting-edge technologies to drive strategic decisions in a dynamic banking environment. You will contribute to initiatives that enhance customer engagement, personalize offerings, and maximize the impact of marketing campaigns across digital channels, all while adhering to the highest standards of data privacy and regulatory compliance in the financial industry. Your core responsibilities will involve developing sophisticated quantitative models to analyze marketing performance and customer interactions. You will dive into vast datasets from business banking products, such as loans, treasury services, and merchant solutions, to uncover insights that inform targeted campaigns and improve ROI. Collaborating closely with marketing strategists, data engineers, and business leaders, you will design experiments, build predictive analytics frameworks, and create intuitive visualizations that translate complex data into actionable strategies. This role demands a blend of technical expertise and business acumen to support JPMorgan Chase's commitment to empowering small and mid-sized businesses with seamless, data-informed financial tools. In this senior associate position, you will also mentor junior analysts and contribute to the evolution of our analytics infrastructure, ensuring scalability and innovation in a rapidly evolving fintech space. JPMorgan Chase values diverse perspectives and fosters an inclusive culture where your quantitative skills can make a tangible difference in how we serve our clients. If you are passionate about using analytics to shape the future of business banking, join us to advance your career in one of the world's leading financial institutions.

Key Responsibilities

• Develop and implement data-driven models to optimize marketing investments for Business Banking products and services
• Analyze customer data to enhance digital experiences, including personalization and segmentation strategies
• Collaborate with marketing, product, and technology teams to design and execute analytics initiatives
• Perform advanced statistical analysis on campaign performance metrics to measure ROI and attribution
• Leverage machine learning techniques to predict customer behaviors and recommend targeted marketing actions
• Create dashboards and reports using tools like Tableau or Power BI to communicate insights to stakeholders
• Conduct A/B testing and experimentation to improve engagement and conversion rates in digital channels
• Ensure data integrity and compliance with JPMorgan Chase's data governance and privacy standards
• Support business decisions by providing actionable insights on market trends and competitive analysis
• Contribute to the development of scalable analytics frameworks for ongoing marketing optimization

Required Qualifications

• Bachelor's degree in Quantitative Finance, Statistics, Computer Science, Economics, or a related field
• Minimum of 2-3 years of experience in analytics, data science, or marketing analytics within the financial services industry
• Proficiency in statistical modeling and data analysis techniques
• Experience with large-scale data processing and visualization tools
• Strong understanding of marketing metrics and customer behavior analysis
• Ability to work with cross-functional teams in a fast-paced environment
• U.S. work authorization without sponsorship required

Preferred Qualifications

• Master's degree in a quantitative discipline or MBA with a focus on analytics
• Prior experience in banking or financial services marketing analytics
• Familiarity with regulatory compliance in financial marketing (e.g., FDIC, CFPB guidelines)
• Experience with A/B testing and optimization in digital marketing campaigns
• Certification in data analytics (e.g., Google Analytics, SAS Certified Specialist)

Required Skills

• Proficiency in Python or R for data analysis and modeling
• Expertise in SQL for querying large financial datasets
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow)
• Strong knowledge of statistical methods (regression, clustering, time-series analysis)
• Familiarity with big data tools like Hadoop, Spark, or AWS services
• Skills in data visualization tools such as Tableau, Power BI, or Matplotlib
• Understanding of digital marketing platforms (e.g., Google Analytics, Adobe Analytics)
• Analytical mindset with attention to detail and problem-solving abilities
• Excellent communication skills for presenting complex data to non-technical stakeholders
• Project management skills to handle multiple analytics projects
• Knowledge of financial services regulations and risk management
• Ability to work collaboratively in agile teams
• Proficiency in Excel and advanced spreadsheet modeling
• Experience with ETL processes and data pipeline development
• Adaptability to evolving technologies in fintech and marketing analytics

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Columbus campus
• Flexible work arrangements, including hybrid options for eligible roles

JP Morgan Chase is an equal opportunity employer.