Quant Analytics [MR-QA-SWJ-103040]
About the position
JPMorgan Chase & Co. is seeking a Quant Analytics professional in Plano, Texas, to develop analytical frameworks and address business and technical risks. The role involves using various analytical tools to enhance business performance, contribute to business cases, and analyze customer interactions to improve customer strategies. The position allows for telecommuting up to 40% of the week, emphasizing collaboration with senior leaders and key stakeholders to drive operational performance metrics and KPIs.
Responsibilities
Structure problems and develop analytical frameworks while addressing business and technical risks.
,
Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
,
Contribute to business cases, construct test designs, and identify populations for pilot programs.
,
Analyze program performance and derive insights to help inform future customer strategies.
,
Aid demand mitigation programs by providing data and analytics support across the servicing organization.
,
Analyze customer interactions and events across various channels to better understand customer journeys and friction points.
,
Communicate effectively with senior leaders to enable collaboration, decision-making, and transparency.
,
Analyze problems, design solutions, and communicate effectively with relevant stakeholders to influence and gain buy-in across various job functions.
,
Support and drive partnerships with key ops stakeholders and ops product groups by utilizing knowledge of business drivers, underlying data, and processes.
,
Drive development and reporting of ops performance metrics and KPIs.
Requirements
Master's degree in Business Analytics, Statistics, Engineering, or related quantitative field of study plus 3 years of experience in the job offered or as Quant Analytics, Senior Data Analyst - Predictive Analytics and Insights, Decision Scientist, or related occupation.
,
Alternatively, a Bachelor's degree in Business Analytics, Statistics, Engineering, or related quantitative field of study plus 5 years of experience in the job offered or as Quant Analytics, Senior Data Analyst - Predictive Analytics and Insights, Decision Scientist, or related occupation.
,
Experience in creating dashboards and visualizations to measure the impact of implemented products.
,
Experience in providing management with self-service tools to explore and report on current trends of key metrics.
,
Experience in delivering analytics solutions following Agile, Scrum, or Kanban methodology.
,
Experience in collaborating with area product owners to formulate quantifiable goals for measurement.
,
Experience in advising on strategies and experimentation needed to achieve business goals.
,
Experience in performing analysis to improve business function performance by leveraging standard data analytics tools and technologies including SQL, R, Python, Tableau, Alteryx.
,
Experience in using functions in Microsoft Excel: Conditional Formatting, Charting, Pivot Tables, and Pivot Reporting.
,
Experience in performing data mining leveraging statistical modeling, machine learning, and other advanced analytics methods including Data Mining, Segmentation, Time series, Correlation, Cluster analysis, and Regression.
,
Experience in writing and executing data extraction, summarizing code, and automating processes to source, transform, and analyze data from multiple sources.
,
Experience in preparing and delivering presentations summarizing insights and conclusions for senior level stakeholders.
Nice-to-haves
Benefits
Apply Now
JPMorgan Chase & Co. is seeking a Quant Analytics professional in Plano, Texas, to develop analytical frameworks and address business and technical risks. The role involves using various analytical tools to enhance business performance, contribute to business cases, and analyze customer interactions to improve customer strategies. The position allows for telecommuting up to 40% of the week, emphasizing collaboration with senior leaders and key stakeholders to drive operational performance metrics and KPIs.
Responsibilities
Structure problems and develop analytical frameworks while addressing business and technical risks.
,
Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
,
Contribute to business cases, construct test designs, and identify populations for pilot programs.
,
Analyze program performance and derive insights to help inform future customer strategies.
,
Aid demand mitigation programs by providing data and analytics support across the servicing organization.
,
Analyze customer interactions and events across various channels to better understand customer journeys and friction points.
,
Communicate effectively with senior leaders to enable collaboration, decision-making, and transparency.
,
Analyze problems, design solutions, and communicate effectively with relevant stakeholders to influence and gain buy-in across various job functions.
,
Support and drive partnerships with key ops stakeholders and ops product groups by utilizing knowledge of business drivers, underlying data, and processes.
,
Drive development and reporting of ops performance metrics and KPIs.
Requirements
Master's degree in Business Analytics, Statistics, Engineering, or related quantitative field of study plus 3 years of experience in the job offered or as Quant Analytics, Senior Data Analyst - Predictive Analytics and Insights, Decision Scientist, or related occupation.
,
Alternatively, a Bachelor's degree in Business Analytics, Statistics, Engineering, or related quantitative field of study plus 5 years of experience in the job offered or as Quant Analytics, Senior Data Analyst - Predictive Analytics and Insights, Decision Scientist, or related occupation.
,
Experience in creating dashboards and visualizations to measure the impact of implemented products.
,
Experience in providing management with self-service tools to explore and report on current trends of key metrics.
,
Experience in delivering analytics solutions following Agile, Scrum, or Kanban methodology.
,
Experience in collaborating with area product owners to formulate quantifiable goals for measurement.
,
Experience in advising on strategies and experimentation needed to achieve business goals.
,
Experience in performing analysis to improve business function performance by leveraging standard data analytics tools and technologies including SQL, R, Python, Tableau, Alteryx.
,
Experience in using functions in Microsoft Excel: Conditional Formatting, Charting, Pivot Tables, and Pivot Reporting.
,
Experience in performing data mining leveraging statistical modeling, machine learning, and other advanced analytics methods including Data Mining, Segmentation, Time series, Correlation, Cluster analysis, and Regression.
,
Experience in writing and executing data extraction, summarizing code, and automating processes to source, transform, and analyze data from multiple sources.
,
Experience in preparing and delivering presentations summarizing insights and conclusions for senior level stakeholders.
Nice-to-haves
Benefits
Apply Now