Quant Analytics Senior Associate - Card Data & Analytics jobs in United States
cer-icon
Apply on Employer Site
company-logo

Chase · 2 days ago

Quant Analytics Senior Associate - Card Data & Analytics

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. As a Senior Quantitative Analyst, you will develop and implement business intelligence tools and advanced analytical models to enhance product offerings and optimize customer experience, while collaborating with cross-functional teams to integrate data-driven insights into product development and marketing strategies.

BankingFinancial Services

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 a highly matrixed environment

Qualification

Statistical analysisMachine learningPythonSQLData visualizationBig data experienceAnalytical skillsProblem-solvingCommunication skillsCollaboration

Required

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

Experience in the financial services industry, particularly in credit card analytics or consumer lending analytics
Experience working within forecasting teams
Ability to adapt to changing business needs and priorities

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
linkedin
leader-logo
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
linkedin
Company data provided by crunchbase