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Weekend Algorithmic Trading Quant Jobs in Hamden, CT

Weekend Algorithmic Trading Quant information

See Hamden, CT salary details

$52.2K

$118.5K

$195.4K

How much do weekend algorithmic trading quant jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekend algorithmic trading quant in Hamden, CT is $118,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a Weekend Algorithmic Trading Quant?

A Weekend Algorithmic Trading Quant is a quantitative analyst who specializes in developing, testing, and implementing trading algorithms specifically for financial markets that operate or are accessible during weekends, such as cryptocurrency markets. These professionals use mathematical models, statistical analysis, and programming skills to identify trading opportunities, manage risk, and optimize trading strategies outside of traditional market hours. Their work often involves analyzing large datasets, backtesting strategies, and deploying automated trading systems to generate profits while minimizing human intervention.

What are some common challenges faced by a Weekend Algorithmic Trading Quant, and how can they be addressed?

One of the main challenges for a Weekend Algorithmic Trading Quant is ensuring the robustness and reliability of trading algorithms during periods of lower market liquidity and higher volatility, which are common on weekends in certain asset classes like cryptocurrencies. Additionally, effective monitoring and quick response to unexpected market events can be more difficult with limited team availability outside regular business hours. To address these challenges, quants typically implement thorough backtesting, automated alert systems, and clear escalation protocols to manage risk and maintain performance even during off-peak times.

What are the key skills and qualifications needed to thrive as a Weekend Algorithmic Trading Quant, and why are they important?

To thrive as a Weekend Algorithmic Trading Quant, you need strong quantitative analysis skills, programming proficiency (such as Python or C++), and a degree in mathematics, finance, or a related field. Familiarity with trading platforms, statistical modeling libraries, and backtesting systems is typically required, along with experience using market data APIs. Exceptional problem-solving abilities, attention to detail, and the capacity to work independently under time constraints are valuable soft skills in this role. These competencies are crucial for developing, testing, and executing profitable trading strategies in dynamic weekend markets where rapid decision-making is essential.
Infographic showing various Weekend Algorithmic Trading Quant job openings in Hamden, CT as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $118,473 per year, or $57 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

$100K - $205K/yr

Full-time

Posted 15 days ago


Job description

Job Title: Python Software Engineer – Financial EngineeringPosition Overview
We are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.
Responsibilities
  • Design, develop, and maintain Python applications for financial analysis and quantitative modeling.
  • Build and optimize pricing, valuation, and risk management models for financial instruments.
  • Develop data pipelines for processing market, economic, and alternative data.
  • Implement and maintain backtesting frameworks for trading and investment strategies.
  • Collaborate with quantitative researchers, traders, portfolio managers, and software engineers.
  • Optimize code for performance, scalability, and reliability.
  • Integrate applications with market data providers, databases, and APIs.
  • Write clean, maintainable, and well-documented code.
  • Develop automated testing and deployment pipelines.
  • Monitor production systems and troubleshoot technical issues.
Required Qualifications
  • Bachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.
  • 3+ years of professional Python development experience.
  • Strong knowledge of object-oriented programming and software design principles.
  • Experience with financial engineering concepts, including:
    • Derivative pricing
    • Fixed income analytics
    • Portfolio optimization
    • Risk management
    • Time series analysis
  • Experience with Python libraries such as:
    • NumPy
    • Pandas
    • SciPy
    • Statsmodels
    • scikit-learn
  • Experience working with SQL databases.
  • Familiarity with REST APIs and cloud platforms.
  • Experience using Git and CI/CD workflows.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience developing algorithmic trading systems.
  • Knowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.
  • Familiarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).
  • Experience with distributed computing or high-performance computing.
  • Knowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).
  • Experience with machine learning applied to financial markets.
  • Familiarity with C++, Rust, or Java is a plus.
Technical Skills
  • Python
  • NumPy
  • Pandas
  • SciPy
  • SQL
  • Git
  • Linux
  • Docker
  • REST APIs
  • Financial Modeling
  • Quantitative Finance
  • Risk Analytics
  • Time Series Analysis
Desired Personal Attributes
  • Strong quantitative reasoning
  • Excellent communication skills
  • Attention to detail
  • Ability to work independently and collaboratively
  • Passion for financial markets and technology
  • Commitment to writing high-quality, maintainable software
Nice-to-Have Experience
  • Quantitative research
  • Options pricing
  • Fixed income analytics
  • Portfolio construction
  • Market risk or credit risk systems
  • Backtesting platforms
  • Financial data engineering
  • AI/ML applications in finance