- Bachelor's degree
- Master's degree
- Analysis skills
- Computer skills
- Test-driven development
- Communication skills
About this role
BlackRock’s ETFs and Index Investments (EII) team manages more than $3.2 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.
Your role and impact
The Investment Process & Platform team within EII is seeking to expand in order to improve business efficiency and scalability. This business-side role entails working with Portfolio Engineers, other members of the Investment Process & Platform 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.
Building a leading-edge investment platform, for the portfolio engineering algorithms
Help design and build portfolio engineering algorithms
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 EII, to ensure that they understand our requirements and build well-suited tools
Bachelor’s or Master’s Degree in computer science/engineering/quantitative field with strong computing skills
Strong foundation in Python and related technologies, with OO skills
Experience with SDLC including agile development methodologies, test-driven development, version control and CI/CD tools
Knowledge of Scientific Python stack, experience in dealing with large data sets and statistical processing is a plus
Experience in applying mathematics and statistical techniques to tackle complex problems is a plus
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
Excellent team player with high level of self-motivation and inquisitiveness
Effective communication skills
High degree of professional integrity, discretion and judgement
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.
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.
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.