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Remote Python Trading Jobs in Pennsylvania (NOW HIRING)

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor ... macros, Python, and SQL; and Utilizing economic and financial leverage mechanics, investment ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Advanced proficiency in Python and SQL, with strong foundation in statistical methods and advanced ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Advanced Python and SQL skills Education This role does not require a degree. We value relevant ...

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Bachelor ... macros, Python, and SQL; and Utilizing economic and financial leverage mechanics, investment ...

Lead Engineer - Support

Pittsburgh, PA · Remote

$99K - $131K/yr

Scripting or programming experience (e.g., Python, Axon) for data processing, automation, or ... Excellent oral and written communication #LI-JB1 #LI-REMOTE This amount is what we reasonably ...

Remote Python Trading information

What is a Remote Python Trading job?

A Remote Python Trading job involves developing, maintaining, and optimizing trading algorithms or systems using the Python programming language, all while working remotely. Professionals in this role typically work for financial institutions, hedge funds, or fintech companies, analyzing market data, building automated trading strategies, and ensuring their code runs efficiently and securely. Strong programming skills in Python, knowledge of financial markets, and experience with trading platforms or APIs are essential. The remote nature of the job allows professionals to work from anywhere with a reliable internet connection.

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

AspectRemote Python TradingRemote Quantitative Analyst
Required CredentialsPython programming, finance knowledge, data analysis skillsMathematics, statistics, programming, finance or economics degree
Work EnvironmentFinancial firms, hedge funds, trading companiesFinancial institutions, investment firms, research organizations
Industry UsageHigh in trading and algorithm developmentHigh in risk modeling and quantitative research
Common Search/ComparisonYesYes

Remote Python Trading focuses on developing trading algorithms using Python, primarily in trading firms. Remote Quantitative Analysts work on financial modeling and risk analysis, often requiring similar skills but with a broader focus on quantitative research. Both roles involve programming and finance, but their core responsibilities differ in application and industry emphasis.

What are the key skills and qualifications needed to thrive as a Remote Python Trading professional, and why are they important?

To thrive as a Remote Python Trading professional, you need strong proficiency in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a relevant degree in finance, mathematics, or computer science. Experience with trading platforms, APIs, backtesting frameworks, and familiarity with libraries like pandas, NumPy, and scikit-learn are typically required. Analytical thinking, problem-solving, and effective remote communication are essential soft skills for success in this role. These skills enable the development of robust trading algorithms, effective risk management, and seamless collaboration in a distributed work environment.

What are some common challenges faced by remote Python trading developers, and how can they be addressed?

Remote Python trading developers often encounter challenges such as managing effective communication with distributed teams, ensuring code reliability in automated trading systems, and keeping up with rapidly evolving market requirements. To address these, it’s important to establish clear communication channels (such as daily stand-ups or regular check-ins), write well-documented and thoroughly tested code, and stay updated on current trading technologies and market regulations. Additionally, leveraging collaborative tools like version control systems and implementing robust monitoring for trading algorithms helps ensure both team alignment and system stability.
What job categories do people searching Remote Python Trading jobs in Pennsylvania look for? The top searched job categories for Remote Python Trading jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Python Trading jobs? Cities in Pennsylvania with the most Remote Python Trading job openings:
Infographic showing various Remote Python Trading job openings in Pennsylvania as of July 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.
Quantitative Researcher - Portfolio Optimization - Remote

Quantitative Researcher - Portfolio Optimization - Remote

Stevens Capital Management LP

Radnor, PA • On-site, Remote

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Re-posted 19 days ago


Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Design and implement multi-period portfolio optimization frameworks incorporating
    transaction costs, slippage, and other market frictions
  • Leverage MOSEK and other optimization solvers to build scalable and efficient models
  • Develop and refine intraday trading strategies and execution algorithms
  • Monitor and analyze model performance in a live trading environment

Requirements:
  • Strong quantitative background (PhD or Master's in Applied Math, Operations Research, Computer Science, or related field)
  • Proven experience with MOSEK or other optimization frameworks
  • Deep understanding of slippage, transaction cost modeling, and intraday trading
  • Familiarity with real-time data processing and execution systems
  • Programming skills in Python and/or C++
  • Experience integrating optimization routines in production trading systems

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.