Aladdin Financial Engineering - Portfolio Risk Modelling team Associate

About this role

The Aladdin Financial Engineering (AFE) team is responsible for the research and development of financial models underpinning the risk management analytics produced  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 Black Rock.

Given the diversity of business objectives among Aladdin clients and within Black Rock itself the models developed and supported span a wide array of financial products, ranging from equity to fixed incomeand alternatives. In addition, members seek to provide analysis and insight on many different levels from analysis of single name securities to the overall financial risk asso ciated with an entire portfolio.

The Modelling Research team in AFE is looking for a portfolio risk modeler to join the London team to contribute to the modelling and development effort in building and maintaining of Aladdin risk models. These models are used to provide risk oversight on Black Rock investment strategies and Aladdin clients and also being deployed for use in portfolio construction purposes. This modeler will work on equity risk models.

This role also offers the opportunity to contribute directly to the team’s AI efforts, such as applying AI and automation to modernize and scale current workflows.

The candidate will be performing duties related to all aspects of portfolio risk model development:

• Researching, designing, and back-testing new risk models using Python infrastructure
• Collaborating with software developers to test and release new models into production
• Supporting existing risk models in production
• Maintaining and extending research framework
• Investigating and resolving client queries relating to model methodology and functionality
• Developing and enhancing testing, validation, back-testing, and quality-control frameworks
• Contributing to the team’s AI efforts

• Graduate degree in a technical field (Econometrics, Finance, Math's, Statistics, Computer Science and/or Engineering);
  Postgraduate degree in a technical field is a plus
• 2+ years relevant working experience or PhD
• Strong programming skills and experience using Python;
  Knowledge in Unix/Linux, Git is a plus
• Strong knowledge of financial, mathematical, and statistical theory
• Strong interest in financial market
• Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members and clients
• Enthusiasm, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict time frame;
  Good time management skills including the ability to handle multiple projects
• Interest in portfolio risk modelling
• Strong problem-solving skills with high attention to detail

• 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
• Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about

Black Rock’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 Black Rock.

At Black Rock, 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…