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Python Quantitative Algorithmic Trading Jobs (NOW HIRING)

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading ...

Jane Street

Quantitative Trader

New York, NY · On-site

... implement a trading strategy in Python. Your algorithmic strategy will connect directly to ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

Invesco

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading ...

Jane Street

Quantitative Trader

New York, NY · On-site

... implement a trading strategy in Python. Your algorithmic strategy will connect directly to ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

Old Mission

Quantitative Trader (Options)

Chicago, IL

$150K - $200K/yr

... trading experience encompassing algorithmic trading and a strong knowledge of options theory ... Python, C++, Java, VBA, Matlab, or Ruby. * The ability to work and solve problems as part of a team ...

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All JobsPython Quantitative Algorithmic Trading Jobs

Python Quantitative Algorithmic Trading information

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$98K

$169.7K

$259.5K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for python quantitative algorithmic trading in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.
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Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 87% Full Time, 3% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Domeyard LP

Boston, MA • On-site

Full-time

Re-posted 15 hours ago

Job description

Company Description

Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading. 


Job Description

Bonus! Apply through our website: http://grnh.se/83ospm

Bridging Mathematics and Low-Latency Trading

Domeyard is seeking a Quantitative Researcher with significant experience in developing low latency statistical arbitrage or market making strategies. You will be joining the core of a company with a single, monolithic HFT team. The ideal candidate is someone who is intellectually curious and loves solving mathematical problems - you might have considered pursuing an academic career at some point and you are looking at this job posting because you are enticed by the fast feedback loop in our field.

What you'll be doing:

  • Building low latency liquidity taking or market making strategies from end-to-end.
  • Developing mathematical models to solve difficult stochastic problems.
  • Analyzing convergence and boundedness properties of algorithms and estimates.
  • Translating your models to fast computational methods.
  • Collaborating with researchers and developers to implement all of the above.

You must meet both of these minimum requirements:

  • 3+ years work experience in high-frequency trading at a leading hedge fund or proprietary trading firm.
  • Experience with direct responsibility in construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.


Qualifications

In addition, here are some of the attributes that we're looking for:

  • History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
  • Graduate-level degree in any scientific, mathematical or engineering discipline.
  • Programming experience with C++ in a UNIX-based environment.
  • Experience using data analysis tools in Python or R.
  • Intense passion for solving quantitative problems.
  • Recent track record with low variance in PnL at high % of ADV.
  • Working familiarity with low latency architecture.
  • Knowledge in futures, cash equities or cash FX markets.
Additional Information

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/83ospm

Apply