Quantitative Modeler, Associate
LO9-London - Drapers Gardens, United Kingdom
BlackRock
Seit über 30 Jahren arbeitet BlackRock daran, die Wirtschaft zu stärken und Anlegern zu ihren finanziellen Zielen zu verhelfen.About this role
Come join a diverse and collaborative team of researchers at the Aladdin Financial Engineering (AFE) who are responsible for the research and development of financial models underpinning the risk management and relative value analytics produced at BlackRock!
The group also contributes to the infrastructure platform for the production of analytics and the delivery of analytic content to portfolio and risk management professionals both within and outside BlackRock.
Given the diversity of business objectives among BlackRock Solutions clients and within BlackRock itself the models developed and supported by the Financial Modeling Group span an array of financial products, ranging from equity to fixed income to derivatives. In addition, we seek to provide analysis and insight on many different levels from analysis of the cash flows of a single bond to the overall financial risk associated with an entire portfolio, enterprise or balance sheet.
Key Responsibilities:
We are looking for a quantitative researcher to contribute to the development of BlackRock’s proprietary cash flow risk models for alternative asset classes. Growing the capabilities in the alternatives space is a key strategic focus of the firm!
About the role:
Conduct empirical research and develop statistical models across alternative asset classes such as private equity, real estate, infrastructure debt, etc, building, prototyping, and backtesting the models using Python infrastructure.
Connect with internal and external clients on model factors, forecasts, performance, strength and weakness, and risk/valuation implications. Copyright © 2011 BlackRock. All Rights Reserved.
Writing model documentation including both white papers describing modelling framework and calibration methodology, and detailed technical specifications for implementation by the programming team in the BlackRock production code environment.
Collaborate with portfolio management teams on customized projects; work on papers for publication, present modeling findings at conferences, and discuss research with clients.
About you
- Graduate degree or equivalent experience in a technical field (Econometrics, Finance, Maths, Statistics, Computer Science and/or Engineering). Postgraduate degree or equivalent experience in a technical field is a plus
- 2+ years relevant working experience
- Hands-on experience dealing with sophisticated data sets and demonstrating econometric/statistical techniques to conduct high quality empirical researcher
- Strong programming skills and experience using Python to conduct statistical/econometric analyses
- Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members and clients
- Passion, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict time frame
Would be outstanding to have:
- Exposure to Git, Unix or SQL
- Prior work experience in financial modeling (e.g., risk models and analytics, cash flow models, factor models)
- Prior research or work experience in private market
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Econometrics Engineering Finance Git Prototyping Python Research SQL Statistics
Perks/benefits: Career development Conferences Flex hours Flex vacation Health care
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