JPMorgan Quant Analytics Senior Associate 

United States, Delaware, Wilmington 

929103198

Job Summary:
As a Quantitative Data & Analytics - Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will support advanced analytics projects across various operational functions, channels, and products. You will play a crucial role in enhancing the customer experience. Additionally, you will consult with internal business partners, develop valuable business analyses, and promote strategic insights throughout the organization.

Job Responsibilities:

• Conduct extensive analytical exercises to support marketing, strategy development, competitive analytics, and investment decision-making
• Develop relationships with cobrand partners
• Understand the nature of the business, including customer behavior, channel strengths and limitations, offer profitability and offer acceptance drivers
• Prepare and present analyses and recommendations frequently in verbal and written form to senior leadership teams both internally and externally

Required qualifications, capabilities, and skills:

• BS in a quantitative discipline - Statistics, Math, Finance, Economics, Operations Research, etc.
• 3+ years of analytical and industry experience in credit card, T&E retail, direct marketing, financial or other consumer orientated businesses, that capture and leverage a large transactional database
• 3+ years Knowledge of SQL and SAS required.
• Strong analytical, technical, and statistical skill. Ability to synthesize/analyze diverse information, develop and recommend strategies, and make decisions
• Considerable background in consumer segmentation, customer profiling, and data mining
• Excellent written and oral communication skills; possessing the ability to convey complex information - simply and clearly - to senior business leaders.
• Strong financial and reporting acumen with specific understanding of key drivers of credit card profit and loss.
• Ability to manage multiple projects and prioritize work requirements across a multi-disciplinary team setting.

Preferred qualifications, capabilities, and skills

• MS in quantitative discipline or MBA preferred