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Software Engineer Research Assistant Jobs in Connecticut

Staff Software Engineer - AI

Hartford, CT ยท On-site

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Conduct research and stay up to date with the latest advancements in AI/ML technologies. AI-Driven ...

This Senior Software Consultant will work within the R&D engineering team to develop and support ... Zynq SoC. - Assist electrical engineers with hardware verification. Qualifications Minimum ...

Senior Software Engineer

Bristol, CT

$122K - $161K/yr

Ability to research, learn, assess, and evangelize new technologies * Strong communication skills ... Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Bristol, CT ...

Sr. Software Engineer

Shelton, CT ยท On-site

$122K - $162K/yr

... Assistants Required Qualifications Education * Bachelor's degree or higher in Computer Science ... Software Engineering, or a related field (or equivalent practical experience) Experience * 5+ years ...

Sr. Software Engineer

Shelton, CT ยท On-site

$122K - $162K/yr

... Assistants Required Qualifications Education * Bachelor's degree or higher in Computer Science ... Software Engineering, or a related field (or equivalent practical experience) Experience * 5+ years ...

Sr. Software Engineer

Shelton, CT ยท On-site

$122K - $162K/yr

... Assistants Required Qualifications Education * Bachelor's degree or higher in Computer Science ... Software Engineering, or a related field (or equivalent practical experience) Experience * 5+ years ...

Senior Quantum Software Engineer

New Haven, CT ยท On-site

$123K - $162K/yr

More than 100 organizations across commercial, government, and research sectors trust D-Wave to ... About the role D-Wave is seeking a Quantum Software Engineer to work on our core software ...

Coding Assistant Usage (e.g., familiarity with Claude and GitHub Co-Pilot) * Demonstrated ... software engineering experience. What Is in It for You? * Health Insurance :Employees and their ...

Coding Assistant Usage (e.g., familiarity with Claude and GitHub Co-Pilot) * Demonstrated ... software engineering experience. What Is in It for You? * Health Insurance : Employees and their ...

Sr. Software Engineer

Windsor, CT

$122K - $160K/yr

As a Sr. Software Engineer, you will shape and improve the experience of key Vertafore customers ... Deploy developed solutions within non-production environments and assist with Vertafore production ...

Showing results 21-40

Software Engineer Research Assistant information

What does a software engineer research assistant do?

A Software Engineer Research Assistant supports research projects by developing, testing, and maintaining software tools and applications. They often collaborate with researchers and engineers to implement experimental algorithms, analyze data, and document findings. The role may involve coding, debugging, and adapting software to meet the needs of specific research objectives. Additionally, they help ensure that research code is efficient, reproducible, and well-documented for future use.

What skills and qualifications are needed to thrive as a software engineer research assistant?

To thrive as a Software Engineer Research Assistant, you need a solid background in computer science fundamentals, programming languages such as Python or Java, and a related degree or ongoing coursework. Familiarity with version control systems like Git, data analysis libraries, and research tools such as MATLAB or TensorFlow is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with research teams and convey technical findings clearly. These competencies are crucial for contributing to innovative research projects, ensuring reliable results, and supporting the advancement of technology.

How does a software engineer research assistant typically collaborate with engineering and research teams?

Software Engineer Research Assistants often serve as a bridge between software development and research teams, translating research concepts into functional prototypes or tools. They regularly participate in joint meetings, contribute to code reviews, and align their tasks with the goals of both groups. Effective communication skills are essential, as they need to understand academic research requirements while adhering to engineering best practices. This collaborative environment offers exposure to cutting-edge technology and the opportunity to contribute to innovative projects.

What are popular job titles related to Software Engineer Research Assistant jobs in Connecticut?

For Software Engineer Research Assistant jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Software Engineer Research Assistant jobs in Connecticut look for?

The top searched job categories for Software Engineer Research Assistant jobs in Connecticut are:

Infographic showing various Software Engineer Research Assistant job openings in Connecticut as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT โ€ข On-site

$100K - $205K/yr

Full-time

Posted 19 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