Job Description : Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analyticsOrganize and analyze large, diverse data sets across multiple platformsIdentify key insights and leverage them to inform and influence product strategyTechnical 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 solvingDeliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendationsDesired Candidate Profile : MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative fieldExperience 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 dataExpert 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 analyticsExperience 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 BureauExperience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe / Omniture tools, CloudExperience 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 analyticsExperience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology Skills : - Data Science, R Programming, Python, Machine Learning (ML), Hadoop, SQL server, Linear regression and Predictive modelling