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BlackRock - Atlanta, GA
posted 2 months ago
About the position
The Index Fixed Income (IFI) team at BlackRock is responsible for managing indexed fixed income portfolios, including ETFs, commingled vehicles, and mutual funds. The team ensures efficient and risk-controlled management of over $1.5 trillion in global index fixed income assets. The role involves supporting portfolio construction and index research initiatives through technology development, contributing to the optimization of portfolio management processes, and collaborating with various teams to enhance investment solutions.
Responsibilities
- Own the development of portfolio surveillance tools to capture changes in third party datasets.
- Serve as the internal expert on sustainable datasets, liaising with third party providers, portfolio managers, and data teams to ensure accuracy and desired outcomes for clients.
- Leverage the team's optimization platform to produce optimized reference benchmarks and conduct back-testing for dual-objective product development.
- Systematically perform daily and monthly quality-control for optimized and screened benchmarks.
- Partner with Aladdin Data teams to onboard new datasets for new products.
- Utilize Aladdin, vendor technology, and other analytical tools to enhance and scale processes.
- Monitor both market and operational risk at scale and ensure adherence to regulatory compliance.
- Produce daily, periodic, and ad hoc analysis and reporting required by the PM team.
- Contribute to and take ownership of continuous process improvement, strategic projects, and ad hoc analysis related to our platform.
- Facilitate the expansion of the optimization platform to new applications (basket shaping, scoring metrics).
Requirements
- Minimum BSc in a highly quantitative subject such as Mathematics, Physics, Engineering, or a related field.
- Approximately 1-3 years of relevant experience and a strong desire to learn required.
- Understanding of fixed income markets and risk in general, and the ability to apply insights to portfolio management.
- Advanced knowledge of Python and pandas applied to financial modeling and ability to write scalable production level code.
- Strong bond math, probability theory, and applied portfolio theory required.
- Skilled at writing efficient SQL queries to interact with databases.
- Skilled at creating efficient and user-friendly excel worksheets.
Nice-to-haves
- MSc in Financial Engineering, Financial Mathematics, or a related field preferred.
- Experience with using APIs, quantlib, git, and unit testing is a plus.
- Portfolio optimization skills is a plus.
- VBA skills is a plus.
- Bloomberg proficiency including extracting data both programmatically and through excel is a plus.
- Experience with Aladdin tools and datasets is a plus.
Benefits
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
