About this role
Index Equity Technology - Algo Engineer
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions — from thorough fundamental, quantitative, and alternative active management approaches aimed at improving outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Business Unit Overview:
BlackRock’s Index Equity (IE) team handles more than $7.5 trillion in global index equity assets across Global Developed Markets, Emerging Markets, Commodities and REITs. The group offers index equity investors one of the industry's broadest arrays of investment choices. Our clients include corporate pension plans, public pension plans, central banks, sovereign wealth funds and other institutional investors.
Job Purpose/Background:
The Index Equity Technology team within Index Equity is seeking to expand in order to improve business efficiency and scalability. This business-side role entails working with Portfolio Managers, other members of the Index Equity team and the BlackRock technology teams, in order to build a best-in-class index investment engine. The person filling this role will facilitate the development and maintenance of portfolio engineering algorithms for index investment processes.
A successful candidate will be able to understand the index equity portfolio construction process and will be able to reliably build and deliver working code that serves the immediate need, is robust and extensible enough to evolve and support scale as our business grows.
Key Responsibilities:
- Implement an innovative platform, primarily in Python, for the development, deployment, maintenance and monitoring of portfolio engineering algorithms
- Maintain the Algo ecosystem with Python engineering principles to keep it aligned with changes.
- Enthusiastic and ready to learn and use cutting end tech like AI
- Identify, and implement, opportunities for improvement of operational processes using data analytics
- Understand the BlackRock technology platform and integrate portfolio engineering algorithms into it
- Work with BlackRock technology teams that support IE, to ensure that they understand our requirements and build well-suited tools
Skills/Qualifications:
- Bachelor’s or Master’s Degree or equivalent experience in computer science/engineering/quantitative field with strong computing skills
- Programming skills in Python (preferred) /Java with strong object-oriented skills
- Experience with SDLC including agile development methodologies, writing tests before code, version control and CI/CD tools
- Knowledge of Scientific Python stack, experience in dealing with large data sets and statistical processing
- Experience in applying mathematics and statistical techniques to tackle complex problems
- Experience working in investment management, trading or finance related fields is a plus
- Knowledge of equity risk models is a plus
- Excellent analytical, problem solving skills, attention to detail and an emphasis on precision
- Great teammate with high level of self-motivation and inquisitiveness
- Effective communication skills
- High degree of professional integrity, discretion and judgement
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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, race, religion, sex, sexual orientation and other protected characteristics at law.
Skills Required
- Bachelor's or Master's Degree in computer science, engineering, or a quantitative field
- Programming skills in Python (preferred) / Java
- Experience with SDLC and agile development methodologies
- Knowledge of Scientific Python stack and experience with large data sets
- Experience applying mathematics and statistical techniques
- Experience in investment management, trading or finance
- Knowledge of equity risk models
What We Do
As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers. BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today. At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together. Learn more: Careers.BlackRock.com
Why Work With Us
Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.
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