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About this role

Company: BlackRock Investment Management, LLC

Job Title: Associate

Job Duties: Acquire and organize new financial and economic data sets to build out the firm’s municipal credit database and streamline surveillance of existing municipal bond positions. Develop and maintain processes using technology to review bond offering documents and financial disclosure for abnormalities in security structure or credit risk, unlocking smarter pathways to identify and avoid credit pitfalls. Utilize advanced machine learning techniques (e.g. anomaly detection, recommendation engines, neural network/deep learning, reinforcement) to turn credit research ideas into practical solutions, with an emphasis on the challenges created by the size, scope and fragmentation of the municipal market (90,000 municipalities and 2 million cusips). Apply natural language processing and other methods to review business/local news sources to help determine the direction of municipal bond markets and credit fundamentals. Identify and implement improvements to municipal data quality to drive operational efficiencies and build scale in municipal business.

Qualifications: Master’s degree in Computational Analysis and Public Policy, Economics, Statistics, Data Science or a related field or one (1) year of experience in the job offered or as a Financial Researcher, Data Scientist, Data Analyst or a related field. In the alternative, the employer will accept a Bachelor’s degree in Computational Analysis and Public Policy, Economics, Statistics, Data Science or a related field and three (3) years of experience in the job offered or as a Financial Researcher, Data Scientist, Data Analyst or a related field. Must have one (1) year of experience with the following: Object-oriented programming using Python; Data Visualization tools such as Matplotlib, Seaborn, Tableau, and PowerBI; Database querying and management tools such as SQL, Snowflake, and BigQuery; Data-driven web applications such as Streamlit, and Flask; Statistical Modeling and Machine Learning tools such as scikit-learn, TensorFlow, PyTorch; Version control with Git and Azure DevOps; Cloud platforms including AWS, Google Cloud, Azure and Fixed Income Markets. Any amount of experience with: NLP techniques and LLM applications.

Salary Range: $137,800 - 148,000

To apply, please click “Apply” on this webpage.

For Princeton, NJ Only the salary range for this position is USD$0.00 - USD$0.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock 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

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.

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 children’s 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. It’s why we’re 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 (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/blackrock) | LinkedIn: www.linkedin.com/company/blackrock

BlackRock 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 the** **EEOC’s Know Your Rights poster and its supplement (https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088\_EEOC\_KnowYourRights.pdf)** **and the** **pay transparency statement (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp\_%20English\_formattedESQA508c.pdf)** **.**

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 [email protected] . All requests are treated in line with our privacy policy (http://www.blackrock.com/corporate/compliance/privacy-policy#recruitment-privacy-notice) .

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.