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Trading Signals Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA

Support the calibration and refinement of prices using market signals, statistical models ... Own and manage real-time trading risk, including exposure monitoring, liability controls, and ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Support the calibration and refinement of prices using market signals, statistical models ... Own and manage real-time trading risk, including exposure monitoring, liability controls, and ...

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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.

Machine Leaming Engineer - Applied ML for Trading Signals

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Posted 14 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Machine Leaming Engineer - Applied ML for Trading Signals
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29603 in the subject
Overview
We are seeking an applied ML engineer to develop, optimize, and deploy machine learning models for alpha generation within a newly formed systematic equities pod deploying intraday mean reversion and microstructure strategies.
The focus is on tree-based ensemble methods (LightGBM, XGBoost, CatBoost) and classical ML pipelines applied to high-frequency financial data. You will work closely with the Portfolio Manager and quantitative researchers to tum ML models into live trading signals.
Principal Responsibilities
• Develop and optimize tree-based ensemble models (LightGBM, XGBoost, CatBoost) for intraday alpha prediction
• Design and implement end-to-end ML pipelines: feature engineering, training, validation, deployment, and monitoring
• Build robust cross-validation frameworks adapted to financial time-series (purged k-fold, walk-forward)
• Engineer features from market microstructure data: order flow imbalance, spread dynamics, volume patterns, cross-asset signals
• Implement model explainability tools (SHAP, feature importance) to understand and validate signal sources
• Optimize model inference for low-latency production deployment
• Monitor model performance in production: detect drift, staleness, and regime changes
• Collaborate with the C++ developer to integrate ML predictions into the real-time trading engine
• Experiment with TabPFN and other rapid-prototyping tools for fast signal discovery
Required Skills / Qualifications
• Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field
• 3+ years of experience building and deploying ML models in a production environment, preferably In finance
• Deep expertise in tree-based ensemble methods: LightGBM, XGBoost, CatBoost
including hyperparameter tuning, regularization, and feature selection
• Strong programming skills in Python with proficiency in scikit-learn, Polars/Pandas, NumPy
• Strong understanding of overfitting, data leakage, and proper evaluation methodology for financial time-series
• Strong analytical thinking, attention to detail, and intellectual curiosity
• Excellent communication skills and ability to explain model behavior to non-ML stakeholders
• Familiarity with Al-assisted development tools (Cursor, Claude Code)
Preferred Skills / Experience
• Experience with financial market data (tick data, order book, corporate actions)
• Knowledge of market microstructure and intraday trading dynamics
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. 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.

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