AddressAbout this role
The Aladdin Financial Engineering (AFE) team is responsible for the research and development of financial models underpinning the risk management analytics produced at BlackRock. The group also contributes to the infrastructure and software responsible for the production of analytics and the delivery of analytic content to portfolio and risk management professionals both within and outside BlackRock.
Specifically, the group supports the most sophisticated risk model bundle in the asset management industry, covering multi-factor risk models, liquidity models, value at risk (VaR) calculation, stress testing, and portfolio optimization.
The Portfolio Risk Engineering team in AFE Quant Tech is looking for an experienced engineer to join the team to contribute to the development and maintenance of Aladdin risk models and analytics platform. The risk models are used to provide risk oversight and within the portfolio construction processes of BlackRock and Aladdin Client investment strategies. The engineer will work on our risk modelling applications and platform in direct partnership with our AFE Modelling and Research teams.
Job Responsibilities:
The candidate will be performing duties related to all aspects of portfolio analytics development:
Build and evolve our technology platform and applications to better deliver models and analytics to clients.
Build quantitative software to solve various type of portfolio risk analysis problems with accuracy and scale.
Apply fast-growing technologies such as machine learning and cloud technologies to enable more powerful modelling and analysis.
Work together with researchers to design, develop, and test new and improved financial models.
Contribute to high-profile projects that advance BlackRock’s top strategic priorities.
Key Skills & Qualifications:
2+ years of proven programming experience using Python/Java or other technologies.
Prior experience with enterprise software development or complex research/engineering academic projects.
Ability to apply existing algorithms or models to real-world investment and business problems.
Enthusiasm, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict timeframes.
Technical curiosity, detail focused and strong communication skills.
Undergraduate or advanced degree in computer science, Financial Engineering, mathematics, or related fields.
Familiarity with financial, mathematical, and statistical theory is a plus.
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.
