Portfolio Guidance
examines the components included in a mix of financial products, finds better ways to allocate assets and makes decisions that are expected to improve the overall risk-adjusted return of the mix.
Artificial Intelligence
recently experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and has become an essential part of solving many challenging problems our society faces today.
Risk Analysis
studies the underlying uncertainty of forecasted cash flow streams, the variability in portfolio or security returns, the probability of a project's success or failure, and possible future economic states.
Financial Analysts & Data Scientists
having extensive experience working with quantitative researchers, portfolio managers, financial strategists, and data scientists, and with
- Solid understanding of and experience with Risk Management concepts, Security Analytics; Knowledge of and experience with Statistical Modeling, Optimization, Econometrics and Forecasting, Time Series Analysis, and Regression Analysis
- Knowledge of and experience with Supervised and Unsupervised Machine Learning techniques for Classification, Natural Language Processing (NLP), Outlier Detection, and with Feature Engineering, Model Selection and Evaluation, implementation and deployment; Knowledge of Deep Learning using TensorFlow
Contact
Location:
Irvine, Orange County, California area