You are a strategic thinker passionate about driving solutions in Quant Analytics. You have found the right team.

As a Quant Analytics Analyst within the Finance Team, you will have the opportunity to leverage your expertise in retail finance and credit card finance to perform detailed quantitative analysis and data deep dives. You will create and maintain dashboards to track key business P&L metrics, provide informative business financial information, and coordinate business financial planning and budget management. You will partner effectively with finance, marketing, technology, and business teams, presenting results and recommendations clearly and concisely.

Job Responsibilities:

Experience in retail finance or Credit card finance within a bank a big plusPerform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectivesCreate and maintain dashboard to track key business p&l metricsProvide informative business financial information and coordinate business financial planning and budget managementPartner effectively with finance, marketing and technology and business teamsPresent results and recommendations clearly and concisely

Required qualifications, capabilities, and skills:

Excellent knowledge of SQL and able to write complex sql queries.Experience in using Data extraction and Data analysis tools like SQL/Pyspark Sql/ Alteryx /Python/SASMinimum 3 years’ experience working on analytical projects involving product analysis and statistical modelingGood knowledge of statistical modeling techniques related to time series forecasting, regression(line/logistic), ML model like XGBoost and NLPHave experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual analytics, streamlit etc.Excellent communication (verbal and written) skillsProficiency in Microsoft Office (especially Excel)Basic understanding of cloud ops on AWS

Preferred qualifications, capabilities, and skills:

Experience in discounted cash flow valuation a plusShould be flexible to work in EMEA shiftsBachelor’s degree in Engineering required, CFA/FRM/ MBA (Finance) an advantage but not mandatory