As a Quant Analytics Manager, you will lead analytics efforts to enhance customer experience, develop metrics, mentor teams, and drive operational strategies.
Job Description
Join us for an exciting opportunity to shape customer experience through advanced analytics and innovative solutions.
As a Quant Analytics Manager in Customer Experience Analytics within the Decision Sciences team, you will lead efforts to transform data into actionable insights that drive business value and enhance client satisfaction. You will collaborate across teams to deliver impactful solutions and foster a culture of innovation and growth.
Job responsibilities
Required qualifications, capabilities and skills
Preferred qualifications, capabilities and skills
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
Join us for an exciting opportunity to shape customer experience through advanced analytics and innovative solutions.
As a Quant Analytics Manager in Customer Experience Analytics within the Decision Sciences team, you will lead efforts to transform data into actionable insights that drive business value and enhance client satisfaction. You will collaborate across teams to deliver impactful solutions and foster a culture of innovation and growth.
Job responsibilities
- Lead partnerships with Operations stakeholders and Product groups to drive data-informed strategies
- Build business cases, design tests, and analyze pilot program performance to inform customer strategies
- Analyze customer interactions across channels to identify journeys and friction points
- Develop and report on Operations performance metrics and KPIs using advanced analytical tools
- Create self-serve tools to empower decision-makers with real-time information
- Mentor and coach a team of data professionals, driving consistent high performance
Required qualifications, capabilities and skills
- Bachelor's or Master's degree in a quantitative field and twelve years of applied data analytics experience
- Hands-on experience in system design, data analysis, and operational stability
- Proficient in at least four data analytics tools or technologies (SQL, Python, SAS, Tableau, Alteryx)
- Strong database skills and ability to write, optimize, and tune complex SQL scripts
- Demonstrated ability to lead and mentor teams, manage projects end-to-end, and deliver under strict timelines
- Excellent communication skills to influence and collaborate with senior leaders and stakeholders
- Solid understanding of IT processes, databases, and analytics data hub development
Preferred qualifications, capabilities and skills
- Experience in financial services or consulting supporting financial firms
- Familiarity with big data disciplines, AWS, and Agile methodologies
- Hands-on experience with sourcing, transforming, and analyzing structured and unstructured data
- Growth mindset and passion for continuous learning and sharing industry knowledge
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
Top Skills
Alteryx
Python
SAS
SQL
Tableau
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