Director - Data Science Equity Research
Initial Responsibilities:
- Build data driven frameworks and execution capability for objectives.
- Build a team to drive objectives
- Build the longer-term strategic plan.
Education and Experience:
- 7-10 years of experience in data science
- Full-time degree in Data Science/Maths/Statistics/Operational Research/Computer Science from top tier schools
- Strong technical skills
- Experience with structured and unstructured data
- Relevant and strong programming knowledge
- Interest in learning about financial markets
- Experience in working with cross-functional teams
Technical Skills and Competencies:
Technical Expertise:
- Advanced proficiency in Python, R or similar programming languages
- Strong Analytical Skills with proficiency in the application of statistical analysis and machine learning algorithms like Linear Regression, Logistic regression, Random Forest, Boosting Trees, SVM, LTSM, Deep learning etc
- Strong experience in AI/ML frameworks (Tensor Flow, PyTorch, Keras), ML Ops practices, and automation tools for continuous model deployment and monitoring.
- Proficiency in time series forecasting (such as ARIMA, ARMAX, VAR models)
- Extensive experience in synthesizing intelligence from diverse data streams.
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