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.

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