Analyst, Quant Research

Responsibilities

• Lead the development, deployment, and monitoring of systematic equity signals.
• Apply machine learning frameworks to scale feature discovery, construction, selection, and combination.
• Implement state-of-the-art NLP techniques and LLM workflows across unstructured text data.
• Execute portfolio rebalances and generate trade lists aligned with model views.
• Conduct performance attribution to assess signal effectiveness and risk-factor contributions.
• Enhance model design, portfolio construction, and implementation through systematic research.
• Advance proprietary analytics tools by creating visualizations and automating repetitive workflows.

Requirements

• 0–2 years of experience in the financial industry.
• Strong foundation in statistical and machine learning methodologies.
• Proficiency in Python (Pandas, NumPy) and SQL for large-scale data processing.
• Hands-on experience with Scikit-Learn, XGBoost/LightGBM, TensorFlow, or PyTorch.
• Familiarity with Unix-based systems, AWS (EC2, EMR, S3), and Hadoop.
• Applied experience in NLP and LLM pipelines, including fine-tuning and RAG.
• Deep understanding of financial economics and portfolio construction.

Benefits

• Comprehensive healthcare plans and resources.
• Strong retirement savings plans.
• Flexible Time Off (FTO) to support work-life balance.
• Tuition reimbursement and professional development opportunities.
• Parental leave and support for working parents.
• Annual discretionary bonus based on performance.

About the Company

BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management, and advisory services. Our Systematic Active Equity (SAE) group is a pioneer in the industry, using a multi-disciplinary approach that intersects traditional finance with data science and computer science to achieve client investment goals.