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We are looking to hire a Senior Quant Modeler to join our Private Asset Market Risk team. This individual would have a strong background in quantitative research, have demonstrable leadership skills as well as proven experience to work in a team environment, collaborating/guiding junior modelers and engineers. This person is expected to join as an individual contributor, initially leading key model governance initiatives and establishing proper governance and monitoring of the models and gradually stepping into a modeling role leading core risk methodologies. The Private Asset Market Risk team builds a range of models, including private equity, real estate, credit, infrastructure, and hedge funds. and they are built with sophisticated econometric/statistical methods and tools. The models themselves have real practical value and are used by portfolio managers, risk managers, and allocators and influence investment activity. These models have a very large footprint of usage across the entire Aladdin client base, and so we place special emphasis on implementing models that scale with our growing Analytics’ business and ensuring adherence to BlackRock’s rigorous standards of model governance. This individual would be primarily focused on full revaluation models, which span multiple private asset strategies and lead to accurate risk assessment of these products. There are also a lot of opportunities to work across asset classes and drive synergy and innovation in conjunction with senior modelers in the global team.
Job Responsibility:
Leading key model governance initiatives and establishing proper governance and monitoring of the models
Stepping into a modeling role leading core risk methodologies
Building models including private equity, real estate, credit, infrastructure, and hedge funds
Implementing models that scale with the growing Analytics’ business and ensuring adherence to BlackRock’s rigorous standards of model governance
Primarily focused on full revaluation models, which span multiple private asset strategies and lead to accurate risk assessment of these products
Working across asset classes and drive synergy and innovation in conjunction with senior modelers in the global team
Requirements:
Research/Analytics professional with 6+ years of solid experience in quantitative/statistical modeling
Experience with market risk/factor models and portfolio risk analytics (VaR, Tracking Error, Stress Testing) is strongly preferred
Demonstrated exposures to model lifecycle and model governance, including performance monitoring and producing high quality technical documentation (whitepapers, specifications)
Advanced degree in quantitative discipline – master/Phd’s in Economics/Computational Finance / Financial Engineering / Statistics / Applied Mathematics, etc.
Familiarity with financial products/risk management processes is a strong plus
Hands-on experience with statistical software (e.g., Python, R, MATLAB) and strong background in programming, Python in particular, is strongly preferred
Experience with large data set and various machine learning algorithms a plus
Strong proficiency in Python for data-science workflows, hands on experience with numerical libraries (NumPy, pandas, SciPy), along-with experience with structured codebases
Proficiency with C++ is a plus
Proven track-record of working on cross-functional projects spanning quantitative, technology and validation teams
Experience owning or contributing to multi-month (6+ months) delivery initiatives, managing dependencies and milestones
Senior enough to engage confidently with peer-level and senior-stakeholders (risk managers, model validation and technology leads)
Nice to have:
Familiarity with financial products/risk management processes
Experience with large data set and various machine learning algorithms