Quantitative Analytics Vice President - Co-Brand Card Analytics

JP Morgan Chase; New York (NY); Presencial; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Total rewards package

Health benefits

Descripción de la vacante

JP Morgan Chase, a leading U.S. financial services firm, seeks a Quantitative Analytics Vice President to translate business questions into analytic strategies, build models, and deliver insights that drive strategy in the Co-Brand Card Analytics team.

You will work on high-impact problems across the Card organization, combining data science, programming, and consulting to enable responsible, scalable analytics and measurable business impact in New York.

Formación

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Bachelor's degree in a quantitative field with 5+ years analytics experience, or advanced degree with 2+ years.
• Strong analytical, quantitative, problem-solving and communication skills.
• Leadership and collaboration abilities; curiosity to solve business problems.

Responsabilidades

• Leverage big data analytics and generative AI to uncover use cases.
• Define problems, scope analytical solutions, and deliver actionable insights.
• Develop analytics products with cross-functional partners across Card org.
• Code solutions using Python, SQL, and other tools; communicate findings to stakeholders.
• Build SME in financial and operational domains; collaborate across teams.

Conocimientos

Analytical thinking

Problem-solving

Communication

Leadership

Collaboration

Curiosity

Educación

Bachelor's degree in quantitative field

Advanced degree (MS/PhD) in related field

Herramientas

Python

R

SAS

SQL

Hive

Spark

Tableau

Alteryx

Descripción del empleo

You can help shape how data and AI drive decisions across our Co-Brand Credit Card business. You will work on high-\u2011impact problems end-\u2011to-\u2011end-\u2011translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Quantitative Analytics Vice President at JPMorganChase within the Co-\u2011Brand Card Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-\u2011quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

Job responsibilities

• Leverage experience and analytical skills to uncover novel use cases of big data analytics, including opportunities to responsibly apply foundation models and Generative AI
• Drive data science and analytics strategies, including recommendations on analytical products and standards
• Help partners define business problems and scope analytical solutions
• Build an understanding of problem domains and available data assets
• Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
• Perform exploratory statistics and data mining tasks on diverse datasets
• Communicate findings and obstacles to stakeholders to drive delivery to market
• Develop subject matter expertise in financial and operational domains
• Code solutions using strong programming skills
• Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
• Exceptional analytical, quantitative, problem-\u2011solving, and communication skills
• Intellectual curiosity for solving business problems
• Leadership and collaboration skills
• Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
• Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
• Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
• Ability to convey complex information to technical and non-\u2011technical audiences

Preferred qualifications, capabilities, and skills

• Experience with large language model-enabled applications such as retrieval-\u2011augmented generation, classification or extraction from unstructured text, or agent-\u2011like workflows; exposure to evaluation methods for quality, cost, and latency
• Understanding of key drivers within the credit card profit and loss statement
• Financial services background
• Master of Science degree or equivalent

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-\u2011based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. Additional details about total compensation and benefits will be provided during the hiring process.

These benefits include comprehensive health care coverage, on-\u2011site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Equal Opportunity Employer/Disability/Veterans

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-\u2011used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting-\u2011edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.