Analyst or Senior Analyst - BFS

About the job

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, PowerBI • 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

Requirements

• Client communication
• PowerPoint
• Google Slides
• Excel
• SQL
• Tableau
• PowerBI
• Python

Preferred Technologies

• Client communication
• PowerPoint
• Google Slides
• Excel
• SQL
• Tableau
• PowerBI
• Python