Service Product Analytics Team - Quant Analytics Senior Associate

Location: Columbus, OH, United States

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of financial services innovation, and our Service Product Analytics Team plays a pivotal role in enhancing customer experiences through data-driven insights. As a Quant Analytics Senior Associate in Columbus, OH, you will join a dynamic team focused on deriving deep understandings of customers' journeys across our Service Operations. This role involves leveraging quantitative analytics to develop and implement strategies that optimize service delivery, reduce friction in banking interactions, and drive overall customer satisfaction in a highly regulated financial environment. You will contribute to JP Morgan Chase's commitment to excellence by transforming raw data into strategic recommendations that align with our global operations. In this position, you will collaborate with multidisciplinary teams to build sophisticated models that analyze service touchpoints, from digital banking platforms to customer support interactions. Your work will directly impact how millions of clients engage with our services, ensuring seamless and personalized experiences. Responsibilities include conducting advanced statistical analyses, forecasting service demands, and identifying inefficiencies using cutting-edge tools tailored to the financial sector. At JP Morgan Chase, you will have access to vast datasets and state-of-the-art technology, enabling you to tackle complex challenges like predictive customer behavior modeling and real-time service optimization. We value professionals who thrive in a collaborative, innovative culture and are passionate about using analytics to make a tangible difference in financial services. This role offers opportunities for career growth within one of the world's leading financial institutions, where your quantitative expertise can shape the future of customer-centric banking. Join us in Columbus, OH, to be part of a team that not only analyzes data but also pioneers strategies for superior service excellence.

Key Responsibilities

• Develop and implement innovative quantitative models to analyze customer journeys across JP Morgan Chase's Service Operations
• Derive actionable insights from complex data sets to optimize service delivery and enhance customer experience
• Collaborate with cross-functional teams including product managers, data scientists, and service operations leaders
• Utilize advanced analytics techniques such as machine learning and predictive modeling to forecast service trends
• Monitor and report on key performance indicators (KPIs) related to service efficiency and customer satisfaction
• Identify opportunities for process improvements through data-driven strategies in the financial services domain
• Conduct A/B testing and experimentation to validate analytics-driven recommendations
• Ensure compliance with JP Morgan Chase's data governance and privacy standards in all analytical work
• Present findings and recommendations to senior stakeholders to influence strategic decisions

Required Qualifications

• Bachelor's degree in Quantitative Finance, Statistics, Mathematics, Computer Science, or a related field
• Minimum of 3-5 years of experience in quantitative analytics, data analysis, or a similar role within the financial services industry
• Proficiency in statistical modeling and data visualization tools
• Strong understanding of customer journey analytics and service operations in a banking context
• Experience with large-scale data sets and deriving actionable insights
• Ability to work collaboratively in a fast-paced, team-oriented environment

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline
• Prior experience at a major financial institution like JP Morgan Chase
• Familiarity with regulatory compliance in financial services analytics
• Certification in data analytics (e.g., CFA, FRM, or Google Data Analytics)

Required Skills

• Proficiency in Python or R for statistical analysis and modeling
• Expertise in SQL for querying large financial databases
• Experience with data visualization tools like Tableau or Power BI
• Knowledge of machine learning frameworks such as scikit-learn or TensorFlow
• Strong analytical and problem-solving abilities
• Excellent communication skills for presenting complex data insights
• Understanding of financial services metrics and customer behavior analytics
• Familiarity with big data technologies like Hadoop or Spark
• Attention to detail and accuracy in data handling
• Project management skills for leading analytics initiatives
• Adaptability to evolving regulatory environments in banking
• Team collaboration and interpersonal skills
• Time management in a high-pressure financial industry setting

Benefits

• Competitive base salary and performance-based annual bonuses
• 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 opportunities, including tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase facilities
• Flexible work arrangements, including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.