Job Description
Work Location - Chennai, Bangalore, Hyderabad
About 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 solutions
Contribute to client presentations, reports, QBRs etc
Handle client discussions in structured project settings
Domain Understanding:
Awareness of the Banking regulatory landscape
Awareness 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 desired
Required Skills & Experience:
1-3 years of relevant experience in Analytics projects in BFS domain for any geography
At 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 engagements
Strong 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 calls
Hands-on experience in preparing Powerpoint / Google Slides presentations & presenting them to key stakeholders
Hands-on experience with Excel/ Google Sheets to review, sanitize, manipulate data
Hands-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, Power BI
Intermediate experience in DS/ML/AI programming tool of Python
Exposure to low-code no-code tools GPT, CLausde, Lovable, Gemini
Appreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are used
Interpret 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
About 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 solutions
Contribute to client presentations, reports, QBRs etc
Handle client discussions in structured project settings
Domain Understanding:
Awareness of the Banking regulatory landscape
Awareness 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 desired
Required Skills & Experience:
1-3 years of relevant experience in Analytics projects in BFS domain for any geography
At 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 engagements
Strong 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 calls
Hands-on experience in preparing Powerpoint / Google Slides presentations & presenting them to key stakeholders
Hands-on experience with Excel/ Google Sheets to review, sanitize, manipulate data
Hands-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, Power BI
Intermediate experience in DS/ML/AI programming tool of Python
Exposure to low-code no-code tools GPT, CLausde, Lovable, Gemini
Appreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are used
Interpret 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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