*job description*:
*about this role*
*job specifications -*aladdin financial engineering*
*blackrock overview*:
blackrock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world.
blackrock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world's capital markets.
our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading ishares® etfs.
*aladdin financial engineering* (*afe*)*
afe is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics.
the group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas - single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, covering all asset classes.
the group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with aladdin.
afe conducts leading research on the areas above, delivering state-of-the-art models.
afe publishes applied scientific research frequently, and our members present regularly at leading industry conferences.
afe engages constantly with the sales team in client visits and meetings.
*role*
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 torepresent and presentour models and analytics to internal stakeholders and aladdin clients.
the portfolio risk team builds a range of models and analyticsincluding linear factor models, value-at-risk (var) methodologies, volatility and covariance matrix estimation and portfolio stress testing & scenario analytics.our models use sophisticated econometric/statistical methods and tools.
the models themselves have real practical value and are used by traders, portfolio managers and risk managersand influence investment activity.
these models have a very largefootprint 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 analytics project work related to streamlining the development of new portfolio risk models, expanding our model testing framework, and building a robust research platform, whilst working in conjunction with senior modelers in the global team.
*you can...*
- work at one of the world's top fintech companies.
we sell our aladdin analytics platform to over 100 of the top global financial institutions and corporations, handling many trillion usd of assets
- help develop and deploy quantitative financial models and portfolio analytics that are used to manage most of the money of the world's largest asset manager
- bringall yourself to the job.
from the top of the firm down we embrace the values, identities and ideas brought by our employees
- skills & qualifications:_
- 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
- undergraduate actuary / statistics / applied mathematics / econometrics,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
- competencies:_
- strong analytical skills, attenti