Job Title : FS Analytics Director
Experience in using AI and data science in a financial service industry to achieve business goals in large financial institutions and organizations.
▪ Deep knowledge of the financial services sector, with experience in machine learning, supervised and unsupervised learning, time series analysis, optimization and simulation techniques.
▪ Expertise on various algorithms having developed machine learning & statistical models using SVM, XGB, Random Forests, Logistic Regression, Ridge & Lasso Regression, and clustering solutions (K-Means, Density based clustering), etc.
▪ Knowledge of Neural networks (ANN, CNN, RNN), Bayesian method, Text-mining (NLP, Bert), Image Recognition would be a major plus.
▪ Experience on working on cloud platforms (Azure, AWS, Google Cloud) and deploying ML models in a client environment or on the cloud will be an added advantage.
▪ Strong programming skills on Python, R, SQL.
▪ Experience with Spark & other big data query environments is a plus. Exposure to SAS is a plus.
▪ Experience with visualization tools (Tableau, PowerBI, Spotfire, etc.) & automation tools (Alteryx, etc.).
▪ Project experience in typical use cases like claims analytics, fraud prediction, share of wallet, anomaly detection, recommendation engine, customer segmentation, etc.
▪ Developed POCs to help the business recognize the feasibility of an automated solution.