Quantitative Risk Analyst - Commodities

Responsibilities

Build data analysis models to identify patterns in portfolio managers performance and highlight top pnl and risk drivers (eg factor models, risk dposition) Design and implementation of risk and scenario GUI / visualization tools (dashboards). Development of option pricing & volatility models in partnership with the Quant Technology team Handling of large data sets, use of machine learning techniques to enhance traditional risk measures. The role with collaborate with risk managers across asset classes as well as various technology and data teams within the firm, capturing requirements, and monitoring delivery. Regular interaction with portfolio managers across Europe and Asia.
Qualifications/Skills Required
Masters or PhD level training in quantitative field, Engineering,puter science, Mathematics or Physics Min 3 yrs professional experience in Trading, Structuring, Risk or Quant role, in Financial institution, Fintech, Trading house, ormodities house. Strong coding skills required: Python, proficiency in data science stack (Pandas, scikit-learn or equivalent), SQL. Familiarity with GUI development (Dash, Panel or equivalent). Experience designing, developing and deploying trading tools and GUIs and at least one of the following: risk models, option pricers, alpha signals, portfolio optimizers, trading algorithms. Experience in an alpha research, portfolio optimization,modities or Trading environment is a plus. Candidate will need to fit into the active culture of Millennium, judged by the ability to deliver timely solutions to risk management issues within the firm. Entrepreneurial inclination: ability to work alone and act as a project manager. Strongmunication skills both written and verbal. Good team player - one who is able to prioritize in a fast moving, high pressure, constantly changing environment. Ability to work with Portfolio Managers and foster collaborative relationships. Job ID REQ-25569