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Fixed Income Trading Jobs in Connecticut (NOW HIRING)

Allocate and Book trade flow and manage the full lifecycle of Equity, Fixed Income, Credit, and Private Assets * Report failed trades and resolve trade issues promptly * Communicate with traders ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

... fixed income, ETFs, and foreign exchange. This is an ideal opportunity for an engineer who enjoys ... systematic trading, quantitative research, hedge fund, or financial technology environment.

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

... fixed income, ETFs, and foreign exchange. This is an ideal opportunity for an engineer who enjoys ... systematic trading, quantitative research, hedge fund, or financial technology environment.

Knowledge of fixed income, bond math, yield curve dynamics, accounting, corporate credit analysis ... execute trades Compensation * Base: $160,000 - $190,000/year depending on position level and ...

Securitized Credit Analyst

Stamford, CT · On-site

$160K - $190K/yr

Knowledge of fixed income, bond math, yield curve dynamics, accounting, corporate credit analysis ... execute trades Compensation * Base: $160,000 - $190,000/year depending on position level and ...

... correct trade or interest settlement discrepancies which may arise Prepare/review statutory ... GAAP and Statutory accounting rules related to Fixed Income, Equity and Partnership investments ...

... trade settlement team to correct trade or interest settlement discrepancies which may arise • ... S. GAAP and Statutory accounting rules related to Fixed Income, Equity and Partnership investments ...

... trade settlement team to correct trade or interest settlement discrepancies which may arise • ... S. GAAP and Statutory accounting rules related to Fixed Income, Equity and Partnership investments ...

Showing results 21-40

Fixed Income Trading information

See Connecticut salary details

$41.4K

$103.4K

$185.5K

How much do fixed income trading jobs pay per year?

As of Aug 10, 2026, the average yearly pay for fixed income trading in Connecticut is $103,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $124,600.00 per year, depending on experience, location, and employer.

What is the difference between Fixed Income Trading vs Fixed Income Sales?

AspectFixed Income TradingFixed Income Sales
Primary RoleExecuting bond and debt security trades for clients or firmBuilding client relationships and selling fixed income products
Work EnvironmentFast-paced trading floors, financial institutionsClient-facing, relationship management
Required SkillsMarket analysis, trading strategies, quick decision-makingCommunication, client service, product knowledge
CertificationsSeries 7, 63, 65/66 often requiredSeries 7, 63, 65/66 often required

Fixed Income Trading involves executing bond trades and managing market risks, focusing on market strategies and quick decision-making. Fixed Income Sales centers on client relationships and selling fixed income products, emphasizing communication and client service. Both roles often require similar certifications and work within the same industry environment, but their core functions differ significantly.

What is fixed income trading?

Fixed income trading involves the buying and selling of securities that pay fixed interest or dividends, such as government and corporate bonds. Traders in this field analyze economic trends, interest rates, and credit risk to make informed decisions about when to buy or sell these securities. The goal is to generate returns for investors while managing risks associated with interest rate fluctuations and issuer creditworthiness. Fixed income trading can take place in various markets, including over-the-counter and exchange-traded platforms.

What are some common challenges faced by professionals in fixed income trading, and how can they be addressed?

Fixed Income Trading professionals often encounter challenges such as managing interest rate risk, staying updated with rapidly changing market conditions, and ensuring regulatory compliance. Successfully navigating these challenges requires strong analytical skills, real-time market monitoring, and close collaboration with research teams and compliance officers. Building effective communication with sales and portfolio management teams also helps in making informed trading decisions and adapting strategies as market dynamics evolve.

What do you do as a fixed income trader?

A fixed income trader buys and sells debt securities such as bonds and government securities to generate profit and manage risk for their firm or clients. They analyze market trends, interest rates, and economic data, often using trading platforms and financial models, to make informed trading decisions quickly in a fast-paced environment.

How much does a fixed income trader make?

A fixed income trader's salary varies based on experience, location, and firm size, but typically ranges from $70,000 to over $200,000 annually, with senior traders earning higher bonuses and incentives. Compensation often includes base salary, performance bonuses, and sometimes profit sharing, reflecting the trader's success and market conditions.

What are the key skills and qualifications needed to thrive as a fixed income trader?

To thrive as a Fixed Income Trader, you need a strong understanding of financial markets, fixed income instruments, and quantitative analysis, often supported by a finance degree or relevant certifications such as CFA. Proficiency with trading platforms (e.g., Bloomberg Terminal), risk management systems, and financial modeling tools is essential. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for making informed decisions and managing client relationships. These skills and qualifications are crucial for navigating complex markets, optimizing trade performance, and ensuring compliance in a highly regulated environment.
What are popular job titles related to Fixed Income Trading jobs in Connecticut? For Fixed Income Trading jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Fixed Income Trading jobs in Connecticut look for? The top searched job categories for Fixed Income Trading jobs in Connecticut are:
What cities in Connecticut are hiring for Fixed Income Trading jobs? Cities in Connecticut with the most Fixed Income Trading job openings:
Infographic showing various Fixed Income Trading job openings in Connecticut as of August 2026, with employment types broken down into 59% Full Time, 35% Part Time, 3% Temporary, and 3% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $103,400 per year, or $49.7 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • 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