Analyst | Senior Analyst - Banking & Financial Services

Work Location - Chennai, Bangalore, HyderabadAbout the role:As a Analyst or Senior Analyst - BFS, you will work with Clients in Banking & Financial Services, & help translate business problems into unambiguous analytics problem statements and design analytical frameworks to address them. On a typical work day, you could be doing one or more of the following:Collaborate with the team of data scientists and engineers to plan and drive the execution of business solutionsContribute to client presentations, reports, QBRs etcHandle client discussions in structured project settingsDomain Understanding:Awareness of the Banking regulatory landscapeAwareness of common AI and automation use cases in BFS (fraud detection using ML, credit scoring, robo-advisors, chatbots). Can identify basic applications of analytics in operations.Knowledge of the concepts in any or multiple use cases like customer segmentation, CLTV, Customer attrition and retention, next best product/cross sell and has had contributed hands on to atleast a part of any of these project if not end to end. Involvement in atleast any one of Model Validation, Model Performance Monitoring and Model Development is desiredRequired Skills & Experience:1-3 years of relevant experience in Analytics projects in BFS domain for any geographyAt least 1 year of experience working for global Banks or financial services in the area of either Credit, Fraud, Marketing, Operations etc.. on AI or analytics engagementsStrong communication & experience in client communication. Awareness of storytelling with PPT & has effectively communicated with clients to understand their basic requirements, communicate status updates, or escalation callsHands-on experience in preparing Powerpoint / Google Slides presentations & presenting them to key stakeholdersHands-on experience with Excel/ Google Sheets to review, sanitize, manipulate dataHands-on experience of querying data using SQL on traditional RDBMS databases, and/or big data environments such as Hadoop/Hive/Spark.Ability to analyse and visualize data one or more tools such as Tableau, PowerBIIntermediate experience in DS/ML/AI programming tool of PythonExposure to low-code no-code tools GPT, CLausde, Lovable, GeminiAppreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are usedInterpret results from a business viewpoint (the expectation is not a data scientist expert-level proficiency, but a clear conceptual understanding)Ability to leverage analytics to solve structured or unstructured problems and interpret results

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