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Quantitative Risk Researcher – Systematic Strategies

at Millennium

Back to all Python jobs
Millennium logo
Hedge Funds

Quantitative Risk Researcher – Systematic Strategies

at Millennium

JuniorNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
$160,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

The Quantitative Risk Researcher will analyze and model risk for systematic investment strategies across global futures, FX, and rates. The role involves building quantitative models for performance and risk analysis, implementing ad-hoc simulation models (e.g., VaR improvements, scenario analysis, factor modeling), and designing visualization tools to work with large datasets. The researcher will monitor and explain P&L for portfolio managers and collaborate closely with PMs to represent and monitor strategies. Strong coding (Python, SQL, Kdb+ q, C++), statistical/time-series expertise, and at least 2+ years of relevant experience are required.

Quantitative Risk Researcher – Systematic Strategies

The mission of the Quant Risk Researcher is to help analyze the fund’s risk in quantitative investment strategies in global futures, FX and rates.

The role involves building quantitative models for performance & risk analysis, participating in the implementation of add-hoc simulation models for risk measurement (e.g. VaR improvement, scenario analysis, factor modelling etc.).

Principal Responsibilities

  • Help monitor and explain P&L and performance for Quant Strategies Portfolio Managers
  • Design or enhance risk & pricing models and visualization tools, dealing with large datasets.
  • Research and implement new risk methodologies & techniques to represent and monitor PM strategies

Qualifications / Skills required

  • Masters degree or PhD level training in quantitative field (e.g. Engineering, Computer Science, Mathematics or Physics)
  • 2+ years Professional experience in Trading, Risk, or Quant role (alpha research, portfolio optimization etc.) or trading environment generally.
  • Highly analytical individual with strong problem-solving skills
  • Strong coding skills required (Python, SQL, Kdb+q1, C++). Experience in GUI development is a plus
  • Excellent command of statistics, time series analysis, optimization methods
  • Entrepreneurial inclination: ability to work alone and act as a project manager
  • Strong communication 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 build smooth working relationships
  • Proactive and attentive to details

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Quantitative Risk Researcher – Systematic Strategies

at Millennium

Back to all Python jobs
Millennium logo
Hedge Funds

Quantitative Risk Researcher – Systematic Strategies

at Millennium

JuniorNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
$160,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

The Quantitative Risk Researcher will analyze and model risk for systematic investment strategies across global futures, FX, and rates. The role involves building quantitative models for performance and risk analysis, implementing ad-hoc simulation models (e.g., VaR improvements, scenario analysis, factor modeling), and designing visualization tools to work with large datasets. The researcher will monitor and explain P&L for portfolio managers and collaborate closely with PMs to represent and monitor strategies. Strong coding (Python, SQL, Kdb+ q, C++), statistical/time-series expertise, and at least 2+ years of relevant experience are required.

Quantitative Risk Researcher – Systematic Strategies

The mission of the Quant Risk Researcher is to help analyze the fund’s risk in quantitative investment strategies in global futures, FX and rates.

The role involves building quantitative models for performance & risk analysis, participating in the implementation of add-hoc simulation models for risk measurement (e.g. VaR improvement, scenario analysis, factor modelling etc.).

Principal Responsibilities

  • Help monitor and explain P&L and performance for Quant Strategies Portfolio Managers
  • Design or enhance risk & pricing models and visualization tools, dealing with large datasets.
  • Research and implement new risk methodologies & techniques to represent and monitor PM strategies

Qualifications / Skills required

  • Masters degree or PhD level training in quantitative field (e.g. Engineering, Computer Science, Mathematics or Physics)
  • 2+ years Professional experience in Trading, Risk, or Quant role (alpha research, portfolio optimization etc.) or trading environment generally.
  • Highly analytical individual with strong problem-solving skills
  • Strong coding skills required (Python, SQL, Kdb+q1, C++). Experience in GUI development is a plus
  • Excellent command of statistics, time series analysis, optimization methods
  • Entrepreneurial inclination: ability to work alone and act as a project manager
  • Strong communication 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 build smooth working relationships
  • Proactive and attentive to details

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.