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We are looking to hire a quantitative modeler to join our Portfolio Risk team. This individual would have a strong background in quantitative research, have some experience with project management skills as well as proven experience to work in a team environment, collaborating with peer researchers and engineers, looking to also collaborate with team members in other regions. This person is expected to join as an individual contributor, leading research and development of model governance workstreams and gradually grow into an experienced researcher with expertise to represent and present our models and analytics to internal stakeholders and Aladdin clients.
Job Responsibility:
Leading research and development of model governance workstreams
Research and development of quantitative financial and behavioral models and tools
Analytics project work related to streamlining the development of new portfolio risk models
Expanding our model testing framework
Building a robust research platform
Working in conjunction with senior modelers in the global team
Representing and presenting our models and analytics to internal stakeholders and Aladdin clients
Requirements:
Research/Analytics professional with 3+ 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
advanced degree in a quantitative discipline is a plus
Familiarity with financial products/risk management process is a strong plus
Exposure to model backtesting, quality controls, and validation is highly desirable
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
Prior work experience in financial modeling (e.g., risk models, analytics) or data science and model deployment to production environment is a strong plus
Strong desire to apply quantitative skills to address financial problems and issues that BlackRock encounters in the course of business
Strong analytical skills, attention to detail and strong work ethics
Possesses a positive attitude and ability to work both independently and as part of a team (within a department or in an inter-departmental/virtual setting), in a fast-paced environment
Possesses excellent communication and presentation skills
Ability to synthesize requirements from multiple stakeholders and translate those into actionable plans
Organized in carrying out the responsibilities, possess strong time management skills and should be high on focus
Management experience is preferred but not a must-have
Nice to have:
Advanced degree in a quantitative discipline
Familiarity with financial products/risk management process
Exposure to model backtesting, quality controls, and validation
Experience with large data set and various machine learning algorithms
Prior work experience in financial modeling or data science and model deployment to production environment