Quant Analytics- Analyst

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations. Experience in retail finance or Credit card finance within a bank is a big plus. You will perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives. You will create and maintain dashboards to track key business P&L metrics. Providing informative business financial information and coordinating business financial planning and budget management will be part of your responsibilities. Partnering effectively with finance, marketing, technology, and business teams is crucial. You will present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills include excellent knowledge of SQL and the ability to write complex SQL queries. Experience in using data extraction and data analysis tools like SQL/Pyspark SQL/Alteryx/Python/SAS is necessary. A minimum of 3 years of experience working on analytical projects involving product analysis and statistical modeling is required. Good knowledge of statistical modeling techniques related to time series forecasting, regression (linear/logistic), ML models like XGBoost, and NLP is essential. Experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual Analytics, Streamlit, etc., is preferred. Excellent communication (verbal and written) skills, proficiency in Microsoft Office (especially Excel), and a basic understanding of cloud ops on AWS are necessary. Preferred qualifications, capabilities, and skills include a Bachelor's degree in Engineering, with CFA/FRM/MBA (Finance) being an advantage but not mandatory.,