The role involves researching and implementing performance monitoring frameworks for model families while collaborating with the firm's model risk department
Job Summary
The role involves researching and implementing performance monitoring frameworks for model families while collaborating with the firm's model risk department.
Candidates will build a new engine for joint simulation of the global macro economy using innovative models across multiple asset classes.
BlackRock offers a hybrid work model requiring at least four days in the office per week along with comprehensive benefits including Flexible Time Off.
Matching Summary
The role involves researching and implementing performance monitoring frameworks for model families while collaborating with the firm's model risk department.
Salary
Base: USD$170,000.00 - USD$225,000.00; Bonus/Equity: Annual discretionary bonus eligible; Benefits: Healthcare, retirement plan, tuition reimbursement, Flexible Time Off
Skills & Requirements
Must-have
PhD or Master in Mathematics Statistics Finance
5 to 10 years quantitative modeling experience
Solid programming skills in Python
Experience with Git and Unix environments
Ability to communicate with internal stakeholders
Nice-to-have
Exposure to PyTorch or Jax frameworks
Experience with SQL or high-performance computing
Background in Bayesian framework methodologies
Track record of publishing scientific research
Collaboration with academic institutions
Key Requirements
PhD/Master in Mathematics, Statistics, Econometrics, Finance, or related field
5 to 10 years experience in quantitative modeling or model risk
Strong communication skills for client and stakeholder interaction