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.

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:

Bachelor’s degree in Engineering required, CFA/FRM/ MBA (Finance) an advantage but not mandatory