Job Description

The candidate need to partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for TU s B2B customers globally. This includes but is not limited to developing predictive risk management and business intelligence solutions . The candidate should be able to contribute in analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis). The candidate should be able to design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on server and cloud based computing platforms. The candidate should have experience in Deep learning, Neural Networks, speech Recognition, NLP and GANs. The candidate need to deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. The candidate should be able to identify strategies and opportunities for customers to test and adopt TransUnion s analytic products and services Knowledge in NLP, Web Scrapping and Python programming is must have qualification. Experience-- 3 to 5 years N.B.:- Candidates from Kolkata/ West Bengal will be considered only for this position. Candidates residing outside Kolkata, please do not apply.

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