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Benefits offered by this job
Comprehensive benefits
Job summary
Qualifications
Bachelor’s, Master’s, or PhD in a quantitative field.
Strong Python skills.
Experience with company- and sector KPIs.
Experience using alternative, fundamental, and positioning datasets.
Practical experience using LLMs or modern ML tools is highly desirable.
Strong analytical, problem-solving, and communication skills.
Responsibilities
Partner closely with the SPM and team on alpha research for systematic equity strategies, focusing on sector-specific signals and company-level forecasting.
Identify, collect, organize, and analyze structured and unstructured datasets related to company, product, and sector behavior.
Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness.
Develop data-driven ways to track companies, industries, and products beyond traditional financial statement analysis.
Contribute to the research, implementation, and backtesting of signals using alternative, fundamental, and positioning datasets.
Apply sound financial intuition and statistical techniques to turn raw data into investable insights.
Work in a transparent, collaborative environment with visibility into the broader investment process.