Analyst | Senior Analyst - Banking & Financial Services

1 - 3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

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, 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

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