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Freelance Algorithmic Trading Software Developer Jobs in Connecticut

Software Developer - C++

Greenwich, CT ยท On-site

$200K - $220K/yr

The Brokerage System Development Team that is responsible for providing trading and related backend ... In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrency

Senior Execution Consultant

Stamford, CT ยท On-site

$100 - $130/hr

... and in a broker-neutral Software as a Service (SaaS) model. Its cloud-based platform, Algo ... Description We are seeking an experienced algorithmic trading consultant who is a skilled ...

Staff Software Engineer - AI

Hartford, CT ยท On-site

$127K - $191K/yr

... developer to join our team and lead the design, development, deployment, and adoption of AI and ... Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.

This role is designed as a foundational entry point into algorithmic trading analysis with a clear ... Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical ...

This role is designed as a foundational entry point into algorithmic trading analysis with a clear ... Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical ...

Software Engineer III

Greenwich, CT ยท On-site

$64.50 - $86.75/hr

Through its affiliates, Interactive Brokers provides automated trade execution and custody of ... Optimizing, improving, and supporting existing algorithms and systems to reach the goal of highly ...

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Freelance Algorithmic Trading Software Developer information

What is the difference between Freelance Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectFreelance Algorithmic Trading Software DeveloperQuantitative Analyst
CredentialsProgramming skills, trading platform knowledge, possibly certifications like CQFMathematics, statistics, finance degrees, certifications like CFA
Work EnvironmentIndependent, remote, project-basedOffice-based, team-oriented, financial institutions
Industry UsageDevelops trading algorithms for clients or own tradingAnalyzes financial data to inform trading strategies

While both roles involve quantitative skills and financial markets, Freelance Algorithmic Trading Software Developers focus on building and implementing trading algorithms independently, often working remotely. Quantitative Analysts typically analyze data within financial firms to develop trading strategies, often working in team environments. The roles overlap in technical skills but differ in scope and work setting.

What are the most commonly searched types of Algorithmic Trading Software Developer jobs in Connecticut? The most popular types of Algorithmic Trading Software Developer jobs in Connecticut are:
What are popular job titles related to Freelance Algorithmic Trading Software Developer jobs in Connecticut? For Freelance Algorithmic Trading Software Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Freelance Algorithmic Trading Software Developer jobs in Connecticut look for? The top searched job categories for Freelance Algorithmic Trading Software Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Freelance Algorithmic Trading Software Developer jobs? Cities in Connecticut with the most Freelance Algorithmic Trading Software Developer job openings:

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT โ€ข On-site

$100K - $205K/yr

Full-time

Posted 11 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