Analyst, Quant Research

About the role

BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions — from meticulous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.

Responsibilities

• Execute portfolio rebalances and generate trade lists aligned with model views and evolving market conditions.
• Conduct performance attribution to assess signal effectiveness and risk-factor contributions.
• Enhance model design, portfolio construction, and implementation through systematic research.
• Identify and monitor key factor exposures and event risks; develop scalable processes to manage emerging risks.
• Advance proprietary analytics tools by creating visualizations and automating repetitive workflows.
• Oversee investments across the entire signal lifecycle—from alpha research and portfolio construction to execution and attribution.
• Engage with internal and external research (e.g., academic papers, conferences, sell-side reports) to identify novel data sources and strategy ideas.
• 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 and related tasks.

Qualifications

• 0–2 years of experience in the financial industry.
• Strong foundation in statistical and machine learning methodologies.
• Hands-on experience with large-scale data processing using SQL and Python.
• Proficient in Python (Pandas, NumPy), Scikit-Learn, XGBoost/LightGBM, TensorFlow, and PyTorch.
• Familiarity with Unix-based systems, AWS (EC2, EMR, S3), Hadoop, and common data transfer protocols (FTP/SFTP).
• Deep understanding of financial economics, portfolio construction, analytics theory, and behavioral finance.
• Proficient in managing and querying structured and unstructured datasets, including data ingestion from internal/external databases.
• Applied experience in natural language processing and large language model (LLM) pipelines, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).

Benefits

• To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our benefits

• To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

BlackRock Principles

• We are a fiduciary to our clients. This is the bedrock of our identity; it reflects our integrity and the unbiased advice we give our clients.
• We are One BlackRock. We work collaboratively to create the best outcomes for our clients, our firm and the communities where we operate.
• We are passionate about performance. We are relentless in innovating and finding better ways to serve our clients and improve our firm.
• We take emotional ownership. We have a deep sense of responsibility to our clients and to each other.
• We are committed to a better future. We are long-term thinkers, focused on helping people build a better tomorrow.

Career path

• Analyst
• Associate
• Vice President
• Director
• Managing Director
• Senior Managing Director

Benefits

• Financial well-being: We offer resources designed to help you build a sound financial future for you and your family, like retirement savings plans and tuition reimbursement.
• Pay for performance: Our pay-for-performance philosophy includes a base salary and a discretionary annual bonus.
• Physical well-being: Our healthcare plans and resources help you focus on your physical health, so you and your family can feel your best.
• Emotional well-being: We support our people's mental health and emotional well-being by providing access to an Employee Assistance Program and a network of Mental Health Ambassadors.
• Life management: You'll be able to focus on moments that are important to you with benefits designed to support life in and outside of work with Flexible Time Off, parental leave and more.