Cards Finance Associate - Investment Decisioning

Investment Decisioning - Cards Finance - Associate - Bengaluru

The Cards & Connected Commerce Finance team provides real-time insights to Cards & Connected Commerce leadership on Business Performance, Annual operating plans, Standard financial reporting, Bespoke analysis, Investment decisioning, Marketing analytics, Card P&A, Card Forecasting Modelling and Financial Analytics. The team is structured with dedicated CFO’s or CFO support teams, with each card product having its own on dedicated P&L and subsequent Balance sheet impacts. Team is adept translating business scenarios to actionable financial insights and is called upon to help on real time business decisioning on a variety of topics. 

As a Cards Finance Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be collaborating with cross-functional teams to develop and implement strategic plans for card acquisition, focusing on market expansion and customer growth. You will conduct detailed financial analysis to support card acquisition strategies, including cost-benefit analysis, ROI calculations, NPV and performance tracking. Prepare and present regular financial reports and forecasts to senior management highlighting key insights 

Job Responsibilities 

• Track and evaluate card acquisition campaign performance, leveraging data-driven insights to optimize strategies and improve outcomes.
• Forecast financial results for acquisition 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.
• Build comprehensive financial business cases that support strategic initiatives and quantify ROI, payback, and sensitivity to key drivers.
• Develop and track performance metrics; create executive-ready presentations; and deliver financial analysis on a wide range of topics for senior management.
• Partner closely with Marketing, Sales, and Product to align financial objectives with business goals and accelerate card acquisition.
• 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.
• Deliver weekly, monthly, and quarterly reporting packages as required.
• Ensure all reports include insightful commentary on key movements, underlying drivers, and watch items.

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
• Strong Team Management Skills – With experience in managing Associate level population
• 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 

• 7+ years of experience in finance, preferably within the banking or financial services industry.
• Background in Data Science a strong plus. Experience in SQL/SAS/Python/Tableau a plus