Quantitative Analytics Manager

As a Quant Analytics Manager within the Claims, Disputes and Fraud Operations Product Analytics team, you will have the opportunity to lead an analytics portfolio that informs product strategy and execution. Your role will involve collaborating with finance, customer experience, design, software engineering, and product teams to translate goals into measurable outcomes. Together, you will utilize data to enhance customer journeys and operational performance. **Key Responsibilities:** - Build holistic insights by integrating customer, account, digital, financial, and operational data to guide strategic decisions - Develop robust business cases, size addressable populations, and estimate the impact of proposed measurement plans - Analyze trends and patterns using SQL, Python, Tableau, and Alteryx to generate actionable insights - Identify and map customer interactions across channels to understand journeys and eliminate friction - Lead cross-functional initiatives with product, technology, and business partners to deliver impactful analytics solutions - Establish and monitor key performance indicators to evaluate initiative effectiveness and inform ongoing strategy - Create and deliver executive-ready presentations that translate complex analysis into clear, actionable recommendations **Qualifications Required:** - Bachelors degree with a strong academic background - 10+ years building statistical and machine learning models that integrate multiple data inputs in marketing, customer journey, operations, or finance - 8+ years of hands-on experience in data analysis - Demonstrated expertise in data modeling, data analysis, and segmentation techniques - Proficient with business intelligence and analytics tools such as Alteryx and Tableau - Self-sufficient in SQL querying and data extraction from enterprise databases and data lakes, including Snowflake and AWS Athena - Strong written and verbal communication skills, including the ability to produce concise, executive-ready presentations and synthesize complex information JPMorganChase, a leading financial institution, offers innovative financial solutions to millions of consumers, small businesses, and corporate clients under the J.P. Morgan and Chase brands. With a history spanning over 200 years, the company excels in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. JPMorganChase values diversity and inclusion, making reasonable accommodations for applicants' and employees' needs. As a Quant Analytics Manager within the Claims, Disputes and Fraud Operations Product Analytics team, you will have the opportunity to lead an analytics portfolio that informs product strategy and execution. Your role will involve collaborating with finance, customer experience, design, software engineering, and product teams to translate goals into measurable outcomes. Together, you will utilize data to enhance customer journeys and operational performance. **Key Responsibilities:** - Build holistic insights by integrating customer, account, digital, financial, and operational data to guide strategic decisions - Develop robust business cases, size addressable populations, and estimate the impact of proposed measurement plans - Analyze trends and patterns using SQL, Python, Tableau, and Alteryx to generate actionable insights - Identify and map customer interactions across channels to understand journeys and eliminate friction - Lead cross-functional initiatives with product, technology, and business partners to deliver impactful analytics solutions - Establish and monitor key performance indicators to evaluate initiative effectiveness and inform ongoing strategy - Create and deliver executive-ready presentations that translate complex analysis into clear, actionable recommendations **Qualifications Required:** - Bachelors degree with a strong academic background - 10+ years building statistical and machine learning models that integrate multiple data inputs in marketing, customer journey, operations, or finance - 8+ years of hands-on experience in data analysis - Demonstrated expertise in data modeling, data analysis, and segmentation techniques - Proficient with business intelligence and analytics tools such as Alteryx and Tableau - Self-sufficient in SQL querying and data extraction from enterprise databases and data lakes, including Snowflake and AWS Athena - Strong written and verbal communication skills, including the ability to produce concise, executive-ready presentations and synthesize complex information JPMorganChase, a leading financial institution, offers innovative financial solutions to millions of consumers, small businesses, and corporate clients under the J.P. Morgan and Chase brands. With a history spanning over 200 years, the company excels in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.