Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
The Aladdin Financial Engineering (AFE) team is responsible for the research and development of financial models that underpin the risk management analytics produced at BlackRock. The team also contributes to the infrastructure and software that deliver analytic content to portfolio and risk management professionals both within and outside BlackRock. The models developed span a wide array of financial products, including equity, fixed income, and alternatives, providing insights from single name securities to overall portfolio risk.

The Modelling Research team in AFE is seeking a portfolio risk modeler to join the London team to contribute to the development and maintenance of Aladdin risk models, primarily focused on equity risk models. These models provide risk oversight on BlackRock investment strategies and Aladdin clients and are also deployed for portfolio construction purposes. This role offers the opportunity to contribute directly to the team’s AI initiatives, applying AI and automation to modernize and scale workflows.

Key responsibilities include researching, designing, and back-testing new risk models using Python infrastructure; collaborating with software developers to test and release models into production; supporting existing models; maintaining and extending the research framework; investigating and resolving client queries related to model methodology and functionality; and developing testing, validation, back-testing, and quality-control frameworks.

Experience
2+ years of relevant working experience or a PhD in a technical field.
Strong programming skills and experience using Python.
Knowledge of Unix/Linux and Git is a plus.
Strong knowledge of financial, mathematical, and statistical theory.
Demonstrated interest in financial markets and portfolio risk modelling.

About you
Graduate degree in a technical field such as Econometrics, Finance, Mathematics, Statistics, Computer Science, or Engineering; postgraduate degree is a plus.
Excellent oral and written communication skills in English, able to explain complex ideas clearly.
Enthusiastic, flexible, and mature with the ability to adapt to a dynamic environment and deliver within strict deadlines.
Strong time management skills and ability to handle multiple projects.
High attention to detail and strong problem-solving skills.

Qualifications
Graduate or postgraduate degree in a relevant technical discipline.
Proven programming proficiency, especially in Python.
Knowledge of financial risk modelling methodologies.