Bulge Bracket Investment Banks

Quant Analytics Senior Associate - Card Data Analytics

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

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Compensation: Not specified USD
City: Not specified
Country: United States

As a Quant Analytics Senior Associate in the Branded Card Data & Analytics team, you will develop and implement business intelligence tools and advanced analytical models to enhance card offerings and optimize customer experience. You will analyze large datasets to identify trends that inform benefits, campaign performance, and customer segmentation, and collaborate with cross-functional teams to translate insights into product development and marketing strategies. You will design and conduct experiments, own stakeholder engagements as an analytics consultant, and present actionable recommendations to senior leadership while staying current with industry trends and agile practices.

Location: Wilmington, DE, United States

We’re driven by curiosity, passion, optimism, and the belief that everybody can grow. Join our Card Data & Analytics team and help shape the future of credit card products through advanced analytics. Collaborate with talented colleagues, leverage innovative tools, and make a real impact on customer experience and business growth. This is your opportunity to develop your skills and contribute to a team that values continuous learning and strategic thinking.

As a Quant Analytics Senior Associate within the Branded Card Data & Analytics team, you will develop and implement business intelligence tools and advanced analytical models to enhance product offerings and optimize customer experience. You will analyze large datasets to identify trends and patterns that inform strategic decisions, such as benefits offerings, campaign performance, and customer segmentation. You will collaborate with cross-functional teams to integrate data-driven insights into product development and marketing strategies, design and conduct experiments, and present actionable recommendations to senior leadership.

You will serve as an analytics consultant for the business, own stakeholder engagements, and stay current with industry trends and emerging technologies. Your work will help drive growth and profitability, ensuring products meet customer needs and regulatory requirements. You’ll thrive in an agile team environment, engaging with a variety of partners to deliver innovative solutions.

Job responsibilities

Develop and implement business intelligence tools and advanced analytical models to enhance product offerings and optimize customer experience

Analyze large datasets to identify trends and patterns that inform strategic decisions, such as benefits offerings, campaign performance, and customer segmentation

Collaborate with cross-functional teams, including product managers, finance, and engineers, to integrate data-driven insights into product development and marketing strategies

Design and conduct experiments to test hypotheses and validate models, ensuring products meet customer needs and regulatory requirements

Own engagements with stakeholders and serve as an analytics consultant for the business

Stay aware of industry trends and emerging technologies, applying innovative approaches to solve complex business problems and drive value

Present findings and recommendations to senior leadership, translating complex data insights into actionable business strategies that drive growth and profitability

Engage with a variety of partners and work within an agile team environment

Required qualifications, capabilities, and skills

4+ years experience with an exceptional foundation in statistical analysis and machine learning, including proficiency in techniques such as regression analysis, clustering, and classification

Extensive experience with programming languages commonly used in data science, such as Python and R, for data manipulation and model development

Proficiency in data visualization tools, such as Tableau or Power BI, to effectively communicate complex data insights to stakeholders

Solid understanding of database management systems, particularly SQL, for querying and managing data

Experience working with big data and developing predictive models in a business context

Excellent analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions

Experience in working collaboratively within cross-functional teams to integrate data insights into business strategies

Excellent communication and soft skills

Preferred qualifications, capabilities, and skills

Experience in the financial services industry, particularly in credit card analytics

Familiarity with agile methodologies and working within agile teams

Ability to adapt to changing business needs and priorities

Join our dynamic team to enhance credit card offerings and optimize customer experience through advanced analytics.

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