Data Scientist - Equity Fund (New York)
Coda Search│Staffing is looking for Data Scientist - Equity Fund (New York) in Grand Central, NY.
This local job opportunity with ID 3890400382 is live since 2026-10-15 04:31:27.
We are currently partnered with a top quant fund that is looking to expand their L/S Equity business by adding a Data Scientist to their portfolio management team. This firm has a top global reputation of a being a top performing quant fund year in and year out. You will be responsible for transforming massive, unstructured datasets into actionable market insights. Your work will directly influence sector-specific research, market positioning, and the monitoring of critical KPIs that drive P&L. Key Responsibilities Alpha Generation: Source, clean, and analyze proprietary and alternative datasets to identify non-consensus investment signals. Sector Intelligence: Build and maintain automated trackers for sector-specific KPIs to predict earnings surprises and inflection points. Portfolio Support: Conduct ad-hoc technical analysis on market positioning and factor exposures to optimize risk-adjusted returns. Technical Requirements Python Mastery: Expert-level proficiency in the PyData stack (Pandas, NumPy, Scikit-learn, SciPy). Experience with time-series analysis and back-testing is essential. Database Management: Advanced SQL skills; ability to architect complex queries and manage large-scale relational databases. Data Visualization: Proven ability to communicate complex data through clear, intuitive visualizations (Tableau, PowerBI, or Plotly). Quantitative Rigor: Strong grasp of statistics (regression, hypothesis testing, machine learning) with a focus on avoiding over-fitting and look-ahead bias. Preferred Qualifications Pedigree: 1–5 years of experience within a Top-Tier Investment Bank (Equity Research, Quant Strategy) or a Leading Hedge Fund. Domain Knowledge: Solid understanding of financial markets, corporate balance sheets, and macroeconomic drivers.5c143e31-5e48-4549-b638-05792d185386
We are currently partnered with a top quant fund that is looking to expand their L/S Equity business by adding a Data Scientist to their portfolio management team. This firm has a top global reputation of a being a top performing quant fund year in and year out. You will be responsible for transforming massive, unstructured datasets into actionable market insights. Your work will directly influence sector-specific research, market positioning, and the monitoring of critical KPIs that drive P&L. Key Responsibilities Alpha Generation: Source, clean, and analyze proprietary and alternative datasets to identify non-consensus investment signals. Sector Intelligence: Build and maintain automated trackers for sector-specific KPIs to predict earnings surprises and inflection points. Portfolio Support: Conduct ad-hoc technical analysis on market positioning and factor exposures to optimize risk-adjusted returns. Technical Requirements Python Mastery: Expert-level proficiency in the PyData stack (Pandas, NumPy, Scikit-learn, SciPy). Experience with time-series analysis and back-testing is essential. Database Management: Advanced SQL skills; ability to architect complex queries and manage large-scale relational databases. Data Visualization: Proven ability to communicate complex data through clear, intuitive visualizations (Tableau, PowerBI, or Plotly). Quantitative Rigor: Strong grasp of statistics (regression, hypothesis testing, machine learning) with a focus on avoiding over-fitting and look-ahead bias. Preferred Qualifications Pedigree: 1–5 years of experience within a Top-Tier Investment Bank (Equity Research, Quant Strategy) or a Leading Hedge Fund. Domain Knowledge: Solid understanding of financial markets, corporate balance sheets, and macroeconomic drivers.5c143e31-5e48-4549-b638-05792d185386