Quant Analytics Senior Associate - Card Data & Analytics

At JPMorgan, we are not merely seeking job applicants. We are in search of team members who are eager to effect change and make a significant impact! 

A Quant Analytics role involves developing and implementing quantitative models to analyze financial data and support decision-making processes. The position requires exceptional mathematical and statistical skills to identify trends, assess risks, and optimize investment strategies. Collaboration with cross-functional teams is essential to translate complex data insights into actionable business solutions.

As a Quant Analytics Senior Associate within the Card Data & Analytics organization, you will support advanced analytics projects across various functions, channels, and products. You will play a crucial role in generating actionable insights to drive portfolio growth, inform product design and marketing tactics and enhance 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
• Leverage a broad range of analytics tools, techniques and capabilities (Test design, Modeling, NLP analysis, etc.) to best apply them to business problems 
• 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
• Manage multiple projects.
• Prioritize work requirements across a multi-disciplinary team setting.
• Synthesize/analyze diverse information, develop and recommend strategies, and make decisions

Required qualifications, capabilities, and skills:

• Bachelors in Science in a quantitative discipline - Statistics, Math, Finance, Economics, Operations Research, etc.
• Minimum 2 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
• Minimum 2 years Knowledge of SQL and SAS required.
• Exceptional analytical, technical, and statistical skill. 
• 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.
• Exceptional financial and reporting acumen with specific understanding of key drivers of credit card profit and loss.

Preferred qualifications, capabilities, and skills

• Masters in Science in quantitative discipline or MBA preferred