About this role
About Fundamental Fixed Income Team
BlackRock's active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe.
The breadth and depth of our platform puts us in a strong position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management, the team uses a top-down view from lead portfolio managers and bottom-up expertise from our sector specialists.
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Responsibilities:
- Experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Understanding of use and implementation of Vector Databases
- Ability to follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable and tested codebase with relevant documentation.
- Implement prototypes for individual components of software or data science solutions and leverage basic data structures and algorithms in implementing solutions.
- Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to further research of use cases already in development within Firm wide initiatives.
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Education and Qualifications/Skills:
- 4-6 years of relevant experience
- Motivated team player and flexible in approach with ability to work independently.
- Technical skills in Python, including experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- Good understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory.
- Knowledge of at least one of the following domains: generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis.
- Passion for solving interesting and relevant real-world problems (in Finance) using a data science and ML approaches.
- Strong analytical thinking skills with an ability to creatively solve business problems, innovating new approaches as needed.
- Data exploration and analysis skills (distributions, identify anomalies, create visualizations, etc.) and ability to implement algorithmic solutions in applied ML.
- Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones
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 Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.