| · Minimum 14+ years of experience in data science designing and deploying statistical modelling with at least 6 years of hands-on experience in Financial/Investment / Asset Management / Fixed Income. · Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets and/or Investment Banking. · Has experience in Gen AI , Language Model etc. · Worked for asset management firms in roles aligned to the front office. · Has advanced knowledge of python and/or R · Asset Allocation, Research, quat engineering · Broad experience with hands-on modelling and DS lifecycle activities, particularly in Python, and ability to communicate at a high level with DS and non-technical leaders · Knowledge of graphical packages such as plotly or gg plot · Excellent understanding of Statistical modeling, Machine Learning (Supervised, Unsupervised, Recommendation engines, Optimization etc.) Deep Learning (RNN, CNN, LSTM, Auto encoders, GANS etc.), Natural Language Processing techniques and algorithms · Strong coding experience in Python, Pyspark, Keras/tensorflow · Experience with SQL & at least one NoSQL databases · Experience of working on any of cloud platform (AWS, Azure, IBM etc.) · Work closely with data engineers to source, analyze and engineer features, collaborate with fellow data scientists to develop, test and deploy Machine Learning models · Exposure to creation of data pipelines to engineer apps deployment (CI/CD) across platforms and environments and working with ML pipelines · Demonstrate analytical and problem-solving skills, particularly those that apply to the big data environment |