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Chennai · 4 - 10 years · ₹10L - ₹20L / yr · Profitable · Posted 8 Jan 2019
Hadoop
+3 more
Job Description:
Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics
Organize and analyze large, diverse data sets across multiple platforms
Identify key insights and leverage them to inform and influence product strategy
Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables.
Develops proof of concept to prove or disprove validity of concept.
Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements
Designing and implementing advanced statistical testing for customized problem solving
Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations
Desired Candidate Profile:
MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field
Experience in using Python, R, SAS
Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)
Keen aptitude for large-scale data analysis with a passion for identifying key insights from data
Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc.
We are looking candidates from the following:
Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics
Experience in Differential pricing / selection analytics (retail, airlines / travel etc).
Experience in Digital product companies or Digital eCommerce with Product mindset and experience
Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau
Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud
Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional)
Experience in Tractor Loans lending companies (Experience in Farm)
Experience in Recovery, Collections analytics
Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology
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