Machine Learning Engineer - Quantitative Research – New York
We are seeking a Machine Learning Engineer to join a quantitative research team at a leading asset management firm in New York. In this role, you will apply advanced machine learning techniques to enhance financial modeling, focusing on stock selection, portfolio optimization, and predictive analytics. You will work closely with portfolio managers and quantitative analysts to integrate machine learning models into our trading strategies and improve decision-making processes. This position requires a solid understanding of machine learning algorithms, financial markets, and the ability to leverage data to create actionable insights.
Key Responsibilities:
Develop and implement machine learning models for stock selection, portfolio optimization, and predictive analytics.
Improve time series forecasting models by working with synthetic and real financial data.
Apply natural language processing (NLP) to extract meaningful data from financial texts such as news articles and earnings reports.
Implement explainability techniques to evaluate and refine model performance during backtesting.
Build and maintain P&L models to assess and optimize trading strategies.
Analyse large datasets to identify patterns and inform quantitative strategies.
Collaborate with portfolio managers and other teams to integrate machine learning models into the investment process.
Stay up to date with emerging machine learning trends and apply innovative techniques to improve financial models.
Requirements:
PhD in Machine Learning, Computer Science, Quantitative Finance, or a related field (preferred).
Experience with machine learning algorithms, including time series forecasting, regression, classification, and NLP.
Strong programming skills in Python, with experience using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with financial markets, stock selection, and portfolio optimization.
Experience building and managing P&L models to evaluate trading strategies.
Strong analytical skills and the ability to work with large, complex datasets.
To apply, please send your CV to quantresearch@octaviusfinance.com