Associate, Quantitative Engineer

About this role

Job Description

As a researcher, you will collaborate with a distributed team of outstanding academics, engineers, and investment professionals to develop methodologies for products solving a corporate-wide set of client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia. You will be responsible for the entire research lifecycle, from initial research and prototyping, to iterating on the system methodology, to detailing the final product and clearing internal review processes.

Responsibilities

• Work with stakeholders to translate business needs into well-scoped technical projects.
• Efficiently work well with large and sophisticated datasets to evaluate technical methodologies.
• Rapidly prototype technical solutions implementing groundbreaking tools from optimization and machine learning.
• Produce technical white papers and make clear technical presentations to senior management.
• Work with engineers and stakeholders to build productionalized solutions that are reliable, scalable, and operate in compliance with firm-wide processes.

Qualifications

• Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field) with 3+ years of professional experiences or
• An MS degree in a quantitative field plus 5+ years of professional experience in optimization, machine learning, statistics, exploratory data analysis, and other aspects of the data science process
• Strong familiarity with programming languages such as Python, Julia, or R. Prefer Python as it is the language for most of the projects.
• The candidates would expect to be teched in following skills:
• Programming with computer science knowledge
• Math, logical reasonings
• Ability to reason a solution given a business problem.
• Strong theoretical background in and practical experience using optimization, statistical techniques, and machine learning, preferably shown through academic publications or open-source codebases.
• Experience with the analysis or application of data in finance, economics, sociology, or related fields is a plus.
• Ability to work within a team environment, communication skills with external business and technology experts.

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 | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

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.