Quant Analytics Senior Associate

About the role

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. 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-used 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 Tec

Additional Information

We have an exciting and rewarding opportunity to lead analytics that shape outcomes for customers and the firm. Join a collaborative team where your expertise fuels growth, mobility, and impact. As a Quant Analytics Manager within Small Business Decision Sciences team, you will be responsible for managing and supporting the Small Business Marketing campaign management lifecycle with targeting, sizing, financial business case, modeling, list execution support, reporting, test design and financial performance measurement (focusing on marketing product acquisition campaigns). Job responsibilities Lead the analytical financial optimization of marketing programs throughout the marketing lifecycle; opportunity, targeting, testing, reporting and insights analytics Build strong relationships with our marketing clients, own the book of work and delivery approach, advise on strategies and experimentation to achieve business goals Leverage suite of evolving analytics tools, including Snowflake and evolving AI analytical applications Collaborate across marketing lifecycle support functions (modeling, finance, marketing channel and delivery teams) Advocate for specific data needed to monitor performance, targeting and execution, and other analytical support for business goals Maintain, improve, and assess processes and controls in support of business results Coach and lead junior team members in campaign analysis methods and approaches. Required qualifications, capabilities and skills Master's or Bachelor's degree with Mathematics, Finance, Statistics, Operations Research, or Economics with 7+ years of marketing data and analytics experience. Proficiency in data analysis languages such as SQL, Python, SAS, R, etc. Experience in Relationship databases and Big Data platforms and related technologies such as Snowflake Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms, and data structures with an ability to influence both internal & external business partners Hands-on experience in delivering financial analytics and insights to multiple levels of management, including campaign test designs, estimation proformas and actual performance. Tangible experience with business marketing strategy and tactical lifecycle Strong analytics, interpretive and problem-solving skills Technical understanding of data extraction, transformation, and load processing Experience with dynamic and interactive self serve business intelligence such as Tableau Strong written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior business leaders Preferred qualifications, capabilities and skills Experience developing financial business cases Operational knowledge of consumer and community banking operations Familiarity with AWS technologies Master's degree in a technical or quantitative field such as Mathematics, Finance, Statistics, Operations Research, or Economics

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