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Quantitative Alpha Signals Jobs (NOW HIRING)

Point72

Cubist Quantitative Researcher

Seattle, WA

Conduct original quantitative alpha signal research * Follow, digest and analyze the latest academic research * Manage all aspects of the research process, including idea generation, data analysis ...

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

Conduct original quantitative alpha signal research * Follow, digest and analyze the latest academic research * Manage all aspects of the research process, including idea generation, data analysis ...

Point72

Equity Quantitative Researcher

New York, NY · On-site

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other ... Experience developing short term alpha signals (intraday or a few days) is a plus * Demonstrated ...

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Quantitative Alpha Signals information

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$31K

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$146K

How much do quantitative alpha signals jobs pay per year?

As of Jun 24, 2026, the average yearly pay for quantitative alpha signals in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

How do Quantitative Alpha Signals professionals typically collaborate with portfolio managers and data engineers in an investment firm?

Quantitative Alpha Signals professionals work closely with portfolio managers to translate research insights into actionable trading strategies, ensuring that signals align with investment objectives and risk parameters. They also partner with data engineers to source, clean, and structure large datasets, enabling efficient backtesting and real-time signal generation. Effective communication and cross-functional teamwork are essential, as these collaborations help refine models, troubleshoot issues, and implement strategies seamlessly into the trading infrastructure.

What are Quantitative Alpha Signals?

Quantitative alpha signals are mathematical or statistical indicators used by investment professionals to identify potential opportunities to achieve returns above a benchmark, known as 'alpha.' These signals are derived from analyzing large sets of financial data, including price movements, trading volumes, and economic indicators, to forecast asset performance. Quantitative alpha signals are often part of algorithmic trading strategies, where computers automatically execute trades based on these signals. Successful use of quantitative alpha signals can help portfolio managers make more informed investment decisions and gain a competitive edge in the market.

What are the key skills and qualifications needed to thrive as a Quantitative Alpha Signals researcher, and why are they important?

To thrive as a Quantitative Alpha Signals researcher, you need strong quantitative skills, advanced knowledge of statistics and financial markets, and typically a graduate degree in a quantitative field such as mathematics, physics, or finance. Proficiency with programming languages (such as Python, R, or MATLAB), statistical modeling tools, and familiarity with databases and financial data systems is crucial. Exceptional analytical thinking, creativity in model development, and effective communication skills help distinguish top performers in this role. These competencies are essential for designing, testing, and implementing robust trading strategies that generate consistent outperformance in competitive markets.

What is the difference between Quantitative Alpha Signals vs Quantitative Research Analyst?

AspectQuantitative Alpha SignalsQuantitative Research Analyst
CredentialsAdvanced degrees in finance, mathematics, or statisticsSimilar educational background, often with quantitative focus
Work EnvironmentFinancial firms, hedge funds, asset managersFinancial institutions, research firms, investment firms
Primary FocusDeveloping signals to generate alphaAnalyzing data to inform investment strategies
Tools & TechniquesStatistical models, machine learning, data analysisData analysis, modeling, research methodologies

Quantitative Alpha Signals focus on creating and refining models to generate investment signals, while Quantitative Research Analysts analyze data to support investment decisions. Both roles require strong quantitative skills and often overlap in skills and work environment, but their core objectives differ: one develops signals, the other interprets data.

Infographic showing various Quantitative Alpha Signals job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Seattle, WA

Other

Posted 18 days ago

Job description

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

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

  • Conduct original quantitative alpha signal research
  • Follow, digest and analyze the latest academic research
  • Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
  • Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

  • B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or comparable language) and working knowledge of SQL
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Detail-oriented.
  • Prior experience in the financial services industry is not required. 
  • A commitment to the highest ethical standards. 

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