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Python Quant Jobs (NOW HIRING)

Permanent Quant Research Analyst (Houston) Anson McCade are working with a Portfolio Manager based ... Strong experience in Python or R * Machine Learning experience is preferred * An advanced degree ...

Our client is seeking a Quantitative Developer to support and enhance a high-performance systematic ... Working knowledge of Python and scientific computing tools such as NumPy and Pandas * Experience ...

Python Developer

West Palm Beach, FL · Hybrid

$48.50 - $67/hr

... of quantitative researchers Devops experience and mindset is a big plus. Build modern containerized apps using Angular, Python, SQL Server, and Docker in a hybrid cloud environment Financial ...

Python Developer

West Palm Beach, FL · On-site

$48.50 - $67/hr

... of quantitative researchers • Devops experience and mindset is a big plus. • Build modern containerized apps using Angular, Python, SQL Server, and Docker in a hybrid cloud environment • ...

Our Sr. Quants develop pricing, yield optimization, and recommendation systems for Home Depot ... The team's primary languages are SQL and Python, which are orchestrated with Dataform and Dataflow.

C++, Python). Must have excellent written and verbal communication skills. This position offers competitive compensation and an opportunity for career advancement. NB: PhD in Computer Science is ...

Quantitative Research & Development Engineer Algert Global -- San Francisco, CA Build alpha. Drive ... Python (pandas, numpy, scikit-learn, xgboost, statsmodels) * SQL (MSSQL, Postgres) * DuckDB, Arrow ...

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Proficiency in programming (Python, C++) * A strong analytical mindset, attention to detail, and a ...

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Proficiency in programming (Python, C++) * A strong analytical mindset, attention to detail, and a ...

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Python Quant information

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$13

$58

$86

How much do python quant jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for python quant in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the 33 words in Python?

In the context of a Python quant role, the 33 words typically refer to the reserved keywords in Python, which are fundamental for writing syntax and control structures. Python has 33 keywords such as 'False', 'None', 'True', 'and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield'. These keywords are essential for developing quantitative trading algorithms and data analysis scripts in Python.

What are some typical challenges faced by Python Quants in the financial industry?

Python Quants often face challenges related to sourcing, cleaning, and managing large sets of complex financial data, as well as ensuring their models remain robust under rapidly-changing market conditions. Navigating tight deadlines while maintaining code quality and accuracy is a common aspect of the job. Additionally, the need to explain complex quantitative concepts to non-technical stakeholders, such as portfolio managers or traders, requires strong communication skills. Overcoming these challenges helps Python Quants deliver real, actionable insights and contribute effectively to investment strategies.

What are the key skills and qualifications needed to thrive in the Python Quant position, and why are they important?

To thrive as a Python Quant, you need strong quantitative skills, proficiency in Python programming, and a solid foundation in mathematics, statistics, or financial engineering, typically supported by an advanced degree. Familiarity with scientific computing libraries (e.g., NumPy, pandas, SciPy), version control systems like Git, and experience with financial data platforms are essential. Analytical thinking, attention to detail, and effective communication enable collaboration with traders and researchers. These skills and tools are crucial for developing, testing, and implementing robust quantitative models in dynamic financial environments.

What's harder, C++ or Python?

For a Python Quant, C++ is generally considered more difficult due to its complexity, lower-level memory management, and steeper learning curve. Python is easier to learn and use for rapid development and data analysis, but C++ offers higher performance and control, often used in latency-sensitive trading systems. Mastering both can be beneficial in quantitative finance roles.

What exactly is Python used for?

Python is a programming language commonly used by Python Quants for data analysis, algorithm development, and automation in finance. It offers libraries like NumPy, pandas, and scikit-learn that facilitate quantitative modeling and machine learning tasks. Proficiency in Python is essential for building and testing trading strategies and managing large datasets.

Is Python difficult to learn?

Python is considered one of the easier programming languages to learn due to its simple syntax and readability, making it popular among quantitative analysts and data scientists. For a Python Quant, understanding core programming concepts and practicing with real-world financial data can help accelerate learning. Consistent study and use of resources like online tutorials and coding environments are beneficial.

What is a Python Quant job?

A Python Quant (Quantitative Analyst) job involves using Python to analyze financial data, develop trading algorithms, and build risk models. Python Quants work in hedge funds, investment banks, or proprietary trading firms, leveraging data science, machine learning, and statistical techniques. They write and optimize code for backtesting strategies, automating trades, and processing large datasets. Strong programming, mathematical, and financial knowledge are essential for success in this role.

More about Python Quant jobs
What cities are hiring for Python Quant jobs? Cities with the most Python Quant job openings:
What are the most commonly searched types of Python Quant jobs? The most popular types of Python Quant jobs are:
Infographic showing various Python Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

$120K - $150K/yr

Full-time

Posted 6 days ago


Job description

$120,000-150,000 USD
Discretionary end of year bonus
Onsite WORKING
Location: Austin, Austin, Texas - United States Type: Permanent
Quant Research Analyst (Houston)
Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are looking for a Quant with experience in strategy research and portfolio construction to join the team, with a pathway to a more senior alpha research role or a PM seat.
The Role:
  • Portfolio construction and optimisation for mid-frequency equity trading
  • Researching new strategies and exploring opportunities to scale up and improve these models
  • Collaborate with other team members across a range of quantitative disciplines
Requirements:
  • 2+ years of experience in a Quantitative Analyst or Research position
  • Strong experience in Python or R
  • Machine Learning experience is preferred
  • An advanced degree, preferably a Master's degree or higher