Build risk management models including simulation of diverse market environments.
Risk Assessment:
Implement tests to validate models and assess various risks under stressed scenarios.
Market Analysis:
Monitor and manage market liquidity risks, insolvency risks, and other specific risks.
Strategic Design:
Design methodologies/models for risks volatility and product pricing.
Collaboration:
Communicate effectively within and across teams to align project requirements and visions.
Client Satisfaction
: Execute client requests such as risk models' testing, simulations, portfolio rebalancing/transitions, portfolio style analysis and portfolio risk decomposition, and exposure management.
Requirements
Mathematical Expertise:
Strong foundation in mathematics, especially in probability theory, statistics, and numerical methods.
Financial Acumen:
Good understanding of financial derivatives, market microstructure, and options pricing models.
Technical Skills:
Proficiency in quantitative programming languages such as Python, C++, or Go, with a strong focus on back-testing, simulation, and statistical analysis.
Independent Thinking:
Ability to think independently and articulate complex ideas clearly and accurately.
*
Machine Learning:
Exposure to machine learning techniques and their application to financial data would be beneficial.
Beware of fraud agents! do not pay money to get a job
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.