Brief Description of position:

Preferably from Credit Risk Modelling Background, Fintech ,Startups

Roles & Responsibilities:

• Expertise in machine learning, deep learning, natural language processing, text analytics.
• To be able to develop robust, scalable and maintainable machine learning models to answer business problems against large data sets
• Experience in credit risk modelling is preferred.
• Experience working with some of the ML/DL Algorithms such as Linear/Ridge/Lasso Regression, Logistic Regression, KNN, Naïve Bayesian, Decision Trees, Random Forest, SVM, RNN,CNN, K means/ Hierarichal Clustering.The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some algorithms including mathematics behind them
• Experience in handling different datasets and generating actionable insights
• Experience in using transfer learning
• Perform elements of data cleaning, feature selection and feature engineering
• Creating dynamic decision making processes and trying to predict future events from the historical data.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results  in terms of relating those metrics to the business process

Requirements:

• B.Tech/M.Tech/ MS( Mathematics/Statistics/Economics) from premier institute.
• Fluent with the Python ML stack and SQL
• Background in machine learning / deep
• Strong Computer Science fundamentals (algorithms, data structures)
• Mathematical background (probability & statistics) a strong plus
• Good communications and interpersonal skills a must
  
  

Location

Others

Minimum Qualification:

Graduate