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Trading Signals Jobs (NOW HIRING)

Thurn Partners

Alternative Data Scientist

Miami, FL · On-site +1

Company Insight: A leading global trading firm is expanding its alternative data initiative and is seeking an experienced Data Scientist to help drive the next phase of signal discovery and ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine ...

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Trading Signals information

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$53K

$101.5K

$196K

How much do trading signals jobs pay per year?

As of Jun 22, 2026, the average yearly pay for trading signals in the United States is $101,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $181,000.00 per year, depending on experience, location, and employer.

What is the difference between Trading Signals vs Trading Analysts?

AspectTrading SignalsTrading Analysts
Required credentialsOften no formal credentials; knowledge of markets and technical analysisTypically degrees in finance, economics, or related fields; certifications like CFA
Work environmentOnline platforms, real-time market analysisFinancial firms, trading desks, research departments
Employer and industry usageUsed by individual traders and trading platformsEmployed by financial institutions, hedge funds, investment firms
Search and comparison intentUnderstanding signals for trading decisionsAnalyzing market trends and making strategic recommendations

Trading Signals provide real-time buy or sell alerts based on technical analysis, often used by individual traders. Trading Analysts conduct in-depth market research and analysis to inform trading strategies within financial firms. While signals are quick alerts, analysts offer comprehensive insights, making their roles complementary but distinct.

What are trading signals?

Trading signals are recommendations or indicators that suggest the best times to buy or sell a financial asset, such as stocks, forex, or cryptocurrencies. These signals can be generated by human analysts or automated algorithms using technical analysis, fundamental analysis, or a combination of both. Traders use these signals to make more informed decisions and potentially improve their trading results. It's important for traders to evaluate the reliability of the source and understand that signals do not guarantee profits.

What are the primary challenges faced by professionals working in trading signals roles, and how can they overcome them?

Professionals in trading signals roles often face challenges such as maintaining signal accuracy in volatile markets, adapting to rapidly changing financial trends, and managing the expectations of clients or stakeholders who rely on their recommendations. To overcome these challenges, it's crucial to stay updated with the latest market analysis techniques, continuously back-test and refine algorithms, and communicate clearly about the risks and limitations involved. Collaborating closely with analysts, data scientists, and traders also helps ensure that signal strategies are robust and aligned with broader trading objectives.

What are the key skills and qualifications needed to thrive as a Trading Signals Analyst, and why are they important?

To thrive as a Trading Signals Analyst, you need a strong background in financial markets, quantitative analysis, and statistical modeling, often supported by a degree in finance, mathematics, or economics. Familiarity with technical analysis tools, algorithmic trading platforms, and programming languages such as Python or R is typically required. Attention to detail, critical thinking, and effective communication help analysts interpret data accurately and present actionable insights. These skills are crucial for generating reliable trading recommendations and enabling timely, data-driven decisions in fast-paced financial environments.
What cities are hiring for Trading Signals jobs? Cities with the most Trading Signals job openings:
Infographic showing various Trading Signals job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $101,533 per year, or $48.8 per hour.

Quantitative researcher - New York

Capital Fund Management (CFM)

Manhattan, NY • On-site

Full-time

Posted yesterday

Job description

ABOUT CFM
Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
ABOUT THE ROLE
As a Quantitative Researcher, you will extract insights from a wide range of datasets - from traditional financial data to unconventional alternative data - to design and develop sophisticated systematic trading models. Your work will focus on building new strategies and enhancing those already implemented at CFM.
You will join a team of 100+ researchers and collaborate closely with data engineers and software engineers to turn research ideas into robust, production-ready trading signals.
What you will do :
  • Push the research frontier
    • Investigate and apply cutting-edge statistical, econometric, and machine-learning techniques.
    • Continuously refine models and methods based on empirical evidence.
  • Generate and test investment ideas
    • Formulate new investment hypotheses and research questions.
    • Design and execute rigorous statistical analyses and backtests to validate (or invalidate) these ideas.
  • Explore and assess data
    • Evaluate datasets (traditional and alternative) for their informational content and usability.
    • Transform promising data into strategies used in our research and production environment.
  • Build and deploy trading signals
    • Transform research results into robust, additive trading insights.
    • Work with engineering teams to implement and maintain these signals in production.

The ideal candidate combines strong creativity, to devise novel ways of uncovering hidden statistical patterns, with a high degree of rigor in testing and validating ideas. Experience working with complex datasets using machine-learning and/or econometric techniques is highly valued. While a strong interest in finance is essential, prior professional experience in the field is not required.
IDEAL CANDIDATE
  • PhD in economics/macroeconomics
  • Post PhD experience (academic or private sector research),
  • Understanding of the ins and outs of machine learning algorithms-and can tweak them as needed
  • Experience with applied machine learning / econometrics to large datasets
  • Programming skills in Python
  • Adaptable and rigorous, capable of working in a quickly evolving environment,
  • Strong teamwork and communication skills.

EQUAL OPPORTUNITIES STATEMENT
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
FOLLOW US
Follow us on Twitter or LinkedIn or visit our website to find out more about CFM.

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