Quantitative Analytics Associate - Cards Finance

Investment Decisioning -Cards Finance-Associate As a Quant Analytics Associate within our Finance team, you will be responsible for the analysis of portfolio pricing strategies. You will collaborate with cross-functional partners in Finance, Risk and Product to align financial objectives with business goals and perform detailed financial analyses, NPV calculations, and performance tracking to inform investment decisions. You will design and maintain reports and dashboards that provide timely, accurate financial results and insights to senior leadership. You will prepare and present regular financial reports, forecasts, and executive-ready presentations that highlight key trends, risks, and opportunities. You will define and monitor KPIs and success metrics to evaluate campaign performance and promote continuous improvement. You will enhance financial controls and streamline processes by introducing automation to reduce cycle times and error rates. You will cultivate strong relationships with internal and external stakeholders, providing clear, data-driven recommendations that support informed decision-making. Job Responsibilities Track and evaluate card pricing performance, leveraging data-driven insights to optimize strategies and improve outcomes. Forecast financial results for pricing strategies using advanced statistical techniques (e.g., time series modeling, cohort analysis, scenario planning, Monte Carlo simulations) to guide investment decisions. Define and monitor KPIs and success metrics to measure performance and drive continuous improvement. Develop and track performance metrics; create executive-ready presentations; and deliver financial analysis on a wide range of topics for senior management. Cultivate strong relationships with internal and external stakeholders, providing financial expertise and timely support. Design and implement new reports and dashboards to efficiently deliver financial results and insights to senior leadership. Enhance controls and streamline processes, introducing automation to reduce cycle times and error rates. Prepare insightful, high-quality senior management presentations with clear narratives and actionable recommendations. Required qualifications, capabilities, and skills CFA/ MBA/ (Finance)/ PG in Statistics/Economics (or similar educational background) Experience in credit card strategies, financial analysis, or related areas Strong financial analytical skills – Fusion of Finance and Data Capabilities Excellent communication and partnering skills. Ability to multi-task and work autonomously within team environment Ability to research issues/problems and provide a 'solution-based' approach. Adaptable to change and ambiguity in the work environment Expert knowledge of Excel (i.e. use of pivot tables, macros, arrays, etc) Inquisitive, enthusiastic, and diligent, and capable of challenging status quo Highly motivated and able to thrive and think clearly under pressure and tight deadlines Highly motivated self-starter with excellent time management/prioritization skills Strong analytical and problem-solving skills with ability to analyze large data sets and present conclusions concisely Preferred qualifications, capabilities, and skills 4+ years of experience in finance, preferably within the banking or financial services industry. Experience in SQL/SAS/Python/Tableau Background in Data Science a strong plus 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. Experience Level Senior Level