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Python Quant Jobs (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL

... quantitative software development, preferably at a trading firm or systematic fund * Strong production experience in Python, including data analysis workflows (pandas, polars, or similar) * Strong ...

Quanta Search

Quant Data Engineer

Manhattan, NY

Our client, aglobalAsset Management firm, is looking for meticulous hands-on Quant Data Engineer ... Past experience building Python data APIs * Experience writing data validations in Python

Hedge Fund

Credit Quant

Manhattan, NY

THE ROLE We seek a seasoned Credit Quant. You will work in a collaborative environment alongside ... Programming skills (especially C/C++ and Python)

Quanta Search

Quant Data Engineer

Manhattan, NY · On-site

Our client, a global Asset Management firm, is looking for meticulous hands-on Quant Data Engineer ... Past experience building Python data APIs * Experience writing data validations in Python

Bayview Asset Management

Quant Developer

Manhattan, NY · On-site

$90K - $110K/yr

The Quantitative Developer will be proficient at programming languages like Python, C++, C#, SQL, VBA, etc. In addition, the ideal candidate will have familiarity with Cloud Platform (e.g. Microsoft ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. * Apply machine learning techniques to time-series data including feature engineering ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation. * Apply machine learning techniques to time-series data including feature engineering ...

Bayview Asset Management

Quant Developer

Manhattan, NY

$90K - $110K/yr

The Quantitative Developer will be proficient at programming languages like Python, C++, C#, SQL, VBA, etc. In addition, the ideal candidate will have familiarity with Cloud Platform (e.g. Microsoft ...

Old Mission

Python Software Engineer

Manhattan, NY · On-site

They are seeking a Software Engineer who excels in Python to take ownership of cutting-edge projects, refine trading systems, and collaborate closely with quants, traders, and research teams.

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

Strong production experience in Python, including data analysis workflows (pandas, polars, or ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

IMC

Quantitative Developer - Python

Chicago, IL

$200K - $225K/yr

Strong production experience in Python, including data analysis workflows (pandas, polars, or ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

Apex Informatics

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Python Developer ACSB6EO2 W2 Rate * 68 USD Position Responsibilities Python Developer Location ... in Quantitative researcher and developer, ability to deal with domain specific data analysis • ...

Quanta Search

Quant Developer

Manhattan, NY · On-site

... Fluency in Python (and its ecosystem) for data analytics and research - Familiarity with C ... quantitative and statistical skills - Experience in Finance is preferred - Open source ...

Quanta Search

Quant Developer

Manhattan, NY

... Fluency in Python (and its ecosystem) for data analytics and research - Familiarity with C ... quantitative and statistical skills - Experience in Finance is preferred - Open source ...

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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.

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What cities are hiring for Python Quant jobs? Cities with the most Python Quant job openings:
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Python Quant jobs near you
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.

Quantitative Developer - Python

IMC

Chicago, IL

Other

Posted 13 days ago

Job description

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.

Your Core Responsibilities

  • Build and maintain systems that span research and production, enabling rapid iteration from idea to production
  • Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
  • Define, compute, and curate features across instruments, regimes, and time horizons
  • Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
  • Contribute to strategy optimization, balancing expected performance with real-world constraints
  • Debug issues end-to-end across research and execution

Your Skills and Experience

  • 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
  • Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
  • Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
  • Solid understanding of ML concepts as applied to systematic strategies, from research through production
  • Experience with low-latency systems is valuable
  • Ability to work fluidly across research and engineering teams

Apply