Quantitative Portfolio Manager

Point72; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

A leading firm in investment management is seeking a Quantitative Portfolio Manager with expertise in advanced financial modeling and a robust understanding of risk management. This role involves managing portfolios, supervising research teams, and innovating investment strategies. Candidates should possess an advanced degree and over 10 years of relevant experience within financial markets.

Qualifications

• Minimum of 10 years’ experience developing quantitative models for financial markets.
• Hands-on experience with research processes including data collection and analysis.

Responsibilities

• Manage portfolio risk by evaluating strategy performance.
• Oversee automated trade execution and monitor costs.
• Research and develop advanced quantitative financial models.

Skills

Quantitative modeling

Risk management

Data analysis

Algorithm design

Education

Advance degree (Masters or Ph.D.) in a computational or analytical field

Job description

Join to apply for the Quantitative Portfolio Manager role at Point72

Join to apply for the Quantitative Portfolio Manager role at Point72

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

• Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
• Overseeing automated trade execution and monitoring transaction costs.
• Supervising a small team of researchers and developers on a daily basis.
• Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
• Performing research to acquire historical and production data sources needed to build investment models.
• Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
• Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
• Using quantitative models to value securities.
• Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
• Developing aspects of successful statistical models, focusing on forecasting and optimization.
• Expanding trading universe and volume and expanding to other exchanges and products.
  
  

Requirements

• Advance degree (Masters or Ph.D.) in a computational or analytical field.
• Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
• Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
• Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.
  
  

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

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