Associate, Quantitative Portfolio Management

About this role

Company: BlackRock Institutional Trust Company N.A.
Job Title: Associate Quantitative Portfolio Management
Location: 400 Howard St San Francisco CA 94105

Job Duties: Perform portfolio rebalance and trade list generation ensuring consistency with model insights and market movements. Analyze performance to understand model and risk-factor contributions to returns. Evaluate and improve model design portfolio construction and implementation. Identify and monitor factor exposures and event risks and evolve processes to systematically manage emerging factors. Progress proprietary analytics packages by developing innovative methods to visualize various metrics and automate repetitive tasks. Monitor investments across the full lifecycle including signal research portfolio construction trading and risk/return attribution. Follow internal and external research reports conferences academic papers and technical journals to identify unique data sources and develop investment ideas and strategies. Lead the end-to-end development production and oversight of systematic-equity signals. Engage stakeholders and provide regular impact updates at key milestones and drive final deployment. Leverage machine-learning frameworks to scale feature discovery construction selection and combination. Streamline model deployment and improve performance. Apply cutting-edge NLP techniques and LLM workflows to extract features and themes from diverse local-language text sources. Collaborate cross-functionally to implement and deploy signals using database expertise ETL pipelines and CI/CD practices. Onboard and mentor new joiners and interns to familiarize them with the research and production pipeline analytics frameworks and rebalance platforms. Present strategies and performance to internal business partners and colleagues as well as to external audiences such as clients consultants and potential investors.

Qualifications: Bachelors degree in Operations Research Finance Economics Data Science Statistics or a related quantitative field and two (2) years of experience as an Analyst or in relevant quantitative research experience in the investment management industry within equity asset classes. Must have two (2) years of experience with: Statistical and machine learning concepts; Working with large data sets using SQL and Python; Unix OS AWS Platforms and Hadoop framework; Databases: Capability to retrieve new data from internal and external database and analyze the data efficacy; Modeling and statistical packages like MATLAB and R; Data visualization in Tableau; Proficiency with data structures data mining mathematics and statistical analysis; Financial economics portfolioconstruction methodologies analytics theory and behavioralfinance principles; Proficiency in Python (Pandas and NumPy) Scikit-Learn XGBoost/LightGBM and deep-learning frameworks including TensorFlow and PyTorch; Experience with Unix-based operating systems AWS services including EC2 instances EMR clusters and S3 Hadoop and file-transfer protocols including FTP and SFTP; Natural-language processing fundamentals and hands-on experience with large language model (LLM) workflows including model fine-tuning prompt engineering and retrieval-augmented generation; and Deliver clear persuasive and structured messages to large audiences that align with business goals and client expectations.

To apply please click Apply on this webpage.

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

BlackRocks 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.

About BlackRock

At BlackRock we are all connected by one mission: to help more and more people experience financial well-being. Our clients and the people they serve are saving for retirement paying for their childrens educations buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed valued and supported with networks benefits and development opportunities to help them thrive.

For additional information on BlackRock please visit @blackrock Twitter: @blackrock LinkedIn: is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race creed color national origin sex (including pregnancy and gender identity/expression) sexual orientation age ancestry physical or mental disability marital status political affiliation religion citizenship status genetic information veteran status or any other basis protected under applicable federal state or local law.View theEEOCs Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process please email . All requests are treated in line with our.