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Quantitative Alpha Signals Jobs (NOW HIRING)

Old Mission

Quantitative Researcher

New York, NY

$170K - $300K/yr

As a Quantitative Researcher in our NYC office, you'll work directly with our traders and research ... Conduct research and analyze large data sets to develop and implement alpha signals while ...

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Quantitative Alpha Signals information

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$31K

$90.6K

$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.
Quantitative Researcher

Quantitative Researcher

Old Mission

New York, NY

$170K - $300K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

About the Position

We're constantly asking questions to improve what we already do and explore new opportunities. As a Quantitative Researcher in our NYC office, you'll work directly with our traders and research infrastructure to:

  • Conduct research and analyze large data sets to develop and implement alpha signals while contributing to portfolio construction
  • Collaborate with others to analyze the performance while optimizing and creating new strategies
  • Develop pricing models
  • Assess risk

Required Skills

  • An advanced degree in a quantitative field such as computer science, an engineering discipline, mathematics, statistics, or physics
  • A deep technical understanding of advanced statistical techniques
  • 3+ years of relevant equity trading experience
  • Expertise building statistical models equity forecasts, with a proven track record of deploying such models to production equity trading systems
  • Proficiency in at least one of the following languages: C++, Python, R, Matlab, Ruby, Java
  • Experience leading a team of researchers, either in industry or academia
  • Superior written and verbal communication skills
Benefits and Perks
  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Programs

Base Salary Range 

$170,000 - $300,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter. 

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