BlackRock
Associate, Quantitative Engineer (Index Equity)

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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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment.
To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
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.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
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.
BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.
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