More jobs:
Analyst, Quant Research
Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94103, USA
Listed on 2026-07-12
San Francisco, San Francisco County, California, 94103, USA
Listing for:
BlackRock
Remote/Work from Home
position Listed on 2026-07-12
Job specializations:
-
Finance & Banking
Data Scientist, Capital Markets, Risk Manager/Analyst
Job Description & How to Apply Below
* Black Rock 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. Black Rock offers a range of solutions - from meticulous fundamental and quantitative active management approaches aimed at maximizing out performance 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.
Elevate your career by joining the world's largest asset manager! Thrive in an environment that cultivates positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At Black Rock, we strive to empower our employees and actively engage your involvement in our success.
Systematic Active Equity (SAE) is the quantitative equity group within Black Rock's Systematic investment group. We invest our client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 30 years. We believe research and innovation are critical to continuing our success and believe in a multi-disciplinary approach that intersects traditional finance and economics with data and computer science.
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.
Skills &
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, Num Py), Scikit-Learn, XGBoost/LightGBM, Tensor Flow, 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).
For San Francisco, CA Only the salary range for this position is USD$ - USD$ . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. Black Rock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
** 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.
** Our hybrid work model*
* Black Rock'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…
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