Being a developer at BlackRock means you get the best of both worlds: working for one of the most advanced financial companies and being part of a software development team responsible for next generation technology and solutions.

What is AlphaGen Technology (AGT)?

The Alpha Gen Technology group (AGT) is a function within Aladdin Engineering that enables BlackRock investment teams to deliver market leading performance (alpha) to their clients.

We work with investment researchers to develop predictive signals and strategies that are traded on BlackRock hedge funds and other active portfolios. The services we provide range from: quantitative library development, model engineering, alpha product development and investment technology R&D.

You will join an interdisciplinary team, building software for market prediction, used in BlackRock's powerful asset management platform: Aladdin. We are a diverse and distributed group of experts in software development, Quant and Data engineering from Belgrade, Budapest, Gurgaon, London, Mexico City, Mumbai, New York, and San Francisco. If you're interested in working with a global and diverse group of engineers and partner teams to thoughtfully craft solutions at scale with impact across the BlackRock and Aladdin investment research space, apply!

Responsibilities:

• You will be working with elite investment professionals to build cutting-edge, high quality alpha signals and platform. Depending on your interest and the role this may include:
• Work with Researchers and Portfolio Managers to implement trading signals and models used for making investment decisions
• Identify and utilize new alpha-enabling technology in signal implementation
• Developing APIs based on microservices architecture built on cloud native architecture stack.
• Identifying and prototyping new alpha-enabling technology.
• Partnering with other engineering and partner teams at BlackRock to integrate with Aladdin.
• Identify and implement ways to improve the efficiency of our system
• Work in close collaboration with both our Product Managers and Portfolio Managers to support and evolve our production products and processes

Qualifications:
We value post-graduate degree holders, and we also value individuals with equivalent commercial experience. If you have a good mix of the skills below, we would love to hear from you!

You Have:

• BA/BS in Computer Science or equivalent practical experience
• At least 2+ years' experience working in data analytics environments
• 2+ years experience in Python
• Experience with dev ops tools like Git, Maven, or Azure DevOps
• Excellent written and verbal communication skills
• Passion for learning and implementing new technologies
• Ability to operate under fast-paced environment

Skills that would be a plus:

• 2+ years experience in Java, SQL, and Cloud technologies including S3, Kubernetes, AzureML, and Dask / Airflow
• Ability to apply mathematics, machine learning or quantitative analysis to solve sophisticated problems and deliver innovative solutions with a keen attention to detail
• Exposure to developing REST APIs
• Experience / Familiarity with databases and cloud data platforms such as Snowflake, Databricks etc..
• Exposure to NoSQL platforms
• Container-Orchestration technologies like Kubernetes
• Experience working on a globally distributed team

What will you learn on the job?

• A good understanding of quantitative investment strategies, risk, equity, fixed income, or financial derivatives
• Build a platform that enables large scale analytics and data science workflows
• How to apply machine learning and data science technology to alpha generation
• Aladdin - the investment platform which manage over $15 Trillion of the global assets.
• Exposure to large universe of datasets and deal with some of the most exciting data & analytics challenges

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.