Quant Analytics-Senior Associate

Location: New York, NY, United States

Job Family: Quant Analytics

About the Role

At JPMorgan Chase, we are at the forefront of redefining the future of financial services through innovative quantitative analytics. As a Quant Analytics Senior Associate in our Credit Card business unit, you will play a pivotal role in executing sophisticated analytical solutions that drive our marketing, product, and channel strategies. Based in the heart of New York, NY, this position offers the opportunity to work with cutting-edge data technologies and collaborate with top-tier teams to enhance customer experiences and business outcomes in one of the world's leading financial institutions. Your work will directly contribute to optimizing credit card portfolios, personalizing customer interactions, and maximizing revenue through data-informed decisions. In this role, you will dive deep into vast datasets to uncover actionable insights, building models that predict customer behavior, assess credit risks, and evaluate marketing effectiveness. You will partner closely with cross-functional teams, including marketing strategists, product managers, and risk analysts, to translate complex quantitative findings into strategic recommendations. Utilizing advanced tools and methodologies, you will conduct rigorous analyses, from segmentation and forecasting to A/B testing, ensuring our credit card offerings remain competitive and compliant with industry regulations. This is an exciting chance to leverage your expertise in a dynamic environment where innovation meets real-world impact. JPMorgan Chase values a culture of inclusion, excellence, and continuous learning, providing you with the resources to grow your career while making a meaningful difference. Join us to advance your skills in quantitative finance and contribute to the success of our global Credit Card franchise, where your analytical prowess will help shape the strategies that serve millions of customers worldwide.

Key Responsibilities

• Develop and execute advanced quantitative models to support marketing campaigns, product development, and channel optimization for JPMorgan Chase's Credit Card business
• Analyze customer data to identify trends, segment populations, and predict behaviors using statistical and machine learning techniques
• Collaborate with marketing, product, and data science teams to design data-driven strategies that enhance customer engagement and profitability
• Build and maintain predictive models for credit risk, fraud detection, and personalization in credit card offerings
• Conduct A/B testing and experimental designs to evaluate the effectiveness of marketing initiatives and channel strategies
• Leverage large datasets from internal sources and external partners to generate insights for business decision-making
• Communicate complex analytical findings to non-technical stakeholders through visualizations and reports
• Stay abreast of industry trends in quantitative finance and incorporate innovative techniques into JPMorgan Chase's analytical frameworks
• Ensure compliance with regulatory standards and data privacy requirements in all analytical work
• Mentor junior analysts and contribute to the continuous improvement of quantitative analytics processes within the team

Required Qualifications

• Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field; advanced degree (Master's or PhD) strongly preferred
• 3-5 years of experience in quantitative analytics, data science, or financial modeling within the financial services industry
• Proficiency in statistical modeling, machine learning algorithms, and predictive analytics
• Experience with large-scale data analysis and handling complex datasets in a banking or credit card environment
• Strong programming skills in Python, R, or SQL for data manipulation and analysis
• Knowledge of credit risk assessment, customer segmentation, and marketing analytics in financial products
• Ability to work collaboratively in cross-functional teams to drive business strategies

Preferred Qualifications

• Experience in the credit card or consumer banking sector at a major financial institution
• Familiarity with JPMorgan Chase's proprietary tools and platforms for quantitative analysis
• Advanced certifications such as CFA, FRM, or data science credentials
• Proven track record of delivering actionable insights that impact marketing or product strategies
• Experience with big data technologies like Hadoop, Spark, or cloud-based analytics platforms

Required Skills

• Quantitative modeling and statistical analysis
• Machine learning and predictive analytics
• Programming in Python, R, and SQL
• Data visualization tools like Tableau or Power BI
• Big data handling with Hadoop or Spark
• Financial modeling and credit risk assessment
• Customer segmentation and behavioral analytics
• A/B testing and experimental design
• Problem-solving and critical thinking
• Communication and presentation skills
• Team collaboration and stakeholder management
• Regulatory compliance knowledge in finance
• Attention to detail and accuracy in data work
• Adaptability to fast-paced environments
• Project management and prioritization

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to JPMorgan Chase's internal training programs
• Wellness programs, including gym memberships and mental health support
• Employee stock purchase plan and other financial wellness benefits
• Flexible work arrangements and relocation assistance for eligible roles

JP Morgan Chase is an equal opportunity employer.