Data Scientist

Skills

Description

We are seeking an experienced and highly skilled Data Scientist to lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies.
The ideal candidate should have extensive 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.

Responsibilities

• · Financial Time Series is a must and should have extensively worked in it
• · Knowledge of linear / Non-linear / Distributed financial data
• · Knowledge of Transformer model outside of language models
• · Deep understanding of markets & GDP and Economic releases and its impact on the financial markets
• · On the run / Off the run Bonds & Fixed Income knowledge
• · Deep knowledge of building models for the business financial teams to make their business decision

Educational Requirements

• 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