
at J.P. Morgan
Bulge Bracket Investment BanksPosted 21 days ago
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**Quant Analytics Manager** in Wilmington, DE: Lead team of payment-focused analysts, translating business needs into data solutions. Manage analyst resources, champion data best practices, and collaborate with payents orgs. Proficient in SQL, Alteryx, SAS, Python, Hadoop, Teradata, Oracle, and cloud databases. Bachelor's degree in quantitative field, functional banking knowledge preferred.
- Compensation
- Not specified USD
- City
- Wilmington
- Country
- United States
Currency: $ (USD)
Full Job Description
Location: Wilmington, DE, United States
Working at Chase means making a real difference every day for your customers, your community, and yourself. How? By putting others first, doing what's right, and creating solutions that make lives better. Build your career on our strong foundation and help shape what's nextfor you and for us. Join our Commerce Payment Analytics Team and play a critical role in managing and directing data analysts to resolve business process and operational issues, ensuring accuracy, quality, and customer satisfaction.
As a Quant Analytics Manager within the Commerce Payments Analytics Team, you will manage and direct a team of data analysts both domestically and offshore. You will partner with business and correction teams to understand issues, interpret requirements, determine coding steps, identify impacted customers, calculate financial impact, validate results, and aid in execution.
Job Responsibilities- Lead a team of analysts that supports a Payments Product Owners.
- Champion data and analytics best practices across the Payments organization.
- Understand and translate business needs into data models supporting long-term solutions.
- Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy.
- Partner with the LOB and broader D&A organization to understand business requirements and objectives.
- Create solutions to combine data from multiple sources for analysis and reporting.
Required qualification, capabilities and skills- Previous experience managing analysts.
- Intermediate knowledge of SQL, Alteryx, SAS, and Python.
- Experience with Hadoop, Teradata, Oracle, and Cloud databases.
- Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise.
- Degree in quantitative or related field preferred.
- Functional industry knowledge for banking and payments. Lead data analysts to resolve payment analytics issues; translate requirements, validate impact, and ensure quality and timely delivery.
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ExperiencedNo visa sponsorship**Quant Analytics Manager** in Wilmington, DE: Lead team of payment-focused analysts, translating business needs into data solutions. Manage analyst resources, champion data best practices, and collaborate with payents orgs. Proficient in SQL, Alteryx, SAS, Python, Hadoop, Teradata, Oracle, and cloud databases. Bachelor's degree in quantitative field, functional banking knowledge preferred.
Full Job Description
Location: Wilmington, DE, United States
Working at Chase means making a real difference every day for your customers, your community, and yourself. How? By putting others first, doing what's right, and creating solutions that make lives better. Build your career on our strong foundation and help shape what's nextfor you and for us. Join our Commerce Payment Analytics Team and play a critical role in managing and directing data analysts to resolve business process and operational issues, ensuring accuracy, quality, and customer satisfaction.
As a Quant Analytics Manager within the Commerce Payments Analytics Team, you will manage and direct a team of data analysts both domestically and offshore. You will partner with business and correction teams to understand issues, interpret requirements, determine coding steps, identify impacted customers, calculate financial impact, validate results, and aid in execution.
Job Responsibilities- Lead a team of analysts that supports a Payments Product Owners.
- Champion data and analytics best practices across the Payments organization.
- Understand and translate business needs into data models supporting long-term solutions.
- Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy.
- Partner with the LOB and broader D&A organization to understand business requirements and objectives.
- Create solutions to combine data from multiple sources for analysis and reporting.
Required qualification, capabilities and skills- Previous experience managing analysts.
- Intermediate knowledge of SQL, Alteryx, SAS, and Python.
- Experience with Hadoop, Teradata, Oracle, and Cloud databases.
- Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise.
- Degree in quantitative or related field preferred.
- Functional industry knowledge for banking and payments. Lead data analysts to resolve payment analytics issues; translate requirements, validate impact, and ensure quality and timely delivery.
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- Lead a team of analysts that supports a Payments Product Owners.Champion data and analytics best practices across the Payments organization.Understand and translate business needs into data models supporting long-term solutions.Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy.Partner with the LOB and broader D&A organization to understand business requirements and objectives.Create solutions to combine data from multiple sources for analysis and reporting.Required qualification, capabilities and skills
- Previous experience managing analysts.Intermediate knowledge of SQL, Alteryx, SAS, and Python.Experience with Hadoop, Teradata, Oracle, and Cloud databases.Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise.Degree in quantitative or related field preferred.Functional industry knowledge for banking and payments. Lead data analysts to resolve payment analytics issues; translate requirements, validate impact, and ensure quality and timely delivery.Apply now
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Quant Analytics Manager
Compensation
Not specified USD
City: Wilmington
Country: United States
ExperiencedNo visa sponsorship**Quant Analytics Manager** in Wilmington, DE: Lead team of payment-focused analysts, translating business needs into data solutions. Manage analyst resources, champion data best practices, and collaborate with payents orgs. Proficient in SQL, Alteryx, SAS, Python, Hadoop, Teradata, Oracle, and cloud databases. Bachelor's degree in quantitative field, functional banking knowledge preferred.
Full Job Description
Location: Wilmington, DE, United States
Working at Chase means making a real difference every day for your customers, your community, and yourself. How? By putting others first, doing what's right, and creating solutions that make lives better. Build your career on our strong foundation and help shape what's nextfor you and for us. Join our Commerce Payment Analytics Team and play a critical role in managing and directing data analysts to resolve business process and operational issues, ensuring accuracy, quality, and customer satisfaction.
As a Quant Analytics Manager within the Commerce Payments Analytics Team, you will manage and direct a team of data analysts both domestically and offshore. You will partner with business and correction teams to understand issues, interpret requirements, determine coding steps, identify impacted customers, calculate financial impact, validate results, and aid in execution.Job Responsibilities- Lead a team of analysts that supports a Payments Product Owners.Champion data and analytics best practices across the Payments organization.Understand and translate business needs into data models supporting long-term solutions.Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy.Partner with the LOB and broader D&A organization to understand business requirements and objectives.Create solutions to combine data from multiple sources for analysis and reporting.Required qualification, capabilities and skills
- Previous experience managing analysts.Intermediate knowledge of SQL, Alteryx, SAS, and Python.Experience with Hadoop, Teradata, Oracle, and Cloud databases.Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise.Degree in quantitative or related field preferred.Functional industry knowledge for banking and payments. Lead data analysts to resolve payment analytics issues; translate requirements, validate impact, and ensure quality and timely delivery.
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