BFS - (Analyst, Senior Analyst, Associate, Senior Associate)

Chennai, Bangalore, Hyderabad

Job Description

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ʻBestʼ and ʻFastest Growingʼ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About the role:

As 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 at least a part of any of these project if not end to end. Involvement in at least any one of Model Validation, Model Performance Monitoring and Model Development is desired

Job Requirement

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