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Financial Engineering Jobs in Connecticut (NOW HIRING)

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Currently pursuing bachelor's or master's degree in mathematics, Statistics, Computer Science, Financial Engineering, Physics, or related quantitative field. * Students graduating between Dec 2027 ...

Loos & Co

Industrial Engineer

Pomfret, CT · On-site

$64K - $86K/yr

Coordinate with Operations, Finance, Engineering, Quality, Maintenance, Scheduling, IT, and Commercial teams to implement approved master-data, routing, and process changes. * Create clear audit ...

State Street

Quantitative Risk, VP

Stamford, CT · On-site

$120K - $202K/yr

Masters' or PhD in a quantitative discipline (Financial Mathematics, Financial Engineering, Mathematics, Statistics, Computer Science, or a related field). Experience in machine learning is a plus

New

LBI Inc

Be Seen First

GENERAL MANAGER Defense Engineering-R&D-Manufacturing

Center Groton, CT · On-site

$120K - $150K/yr (+ commission)

Analyze financial and operational performance and take corrective action when necessary ... Engineering & Manufacturing * Work closely with engineering leadership to prioritize R&D and ...

LBI Inc

Be Seen First

GENERAL MANAGER Defense Engineering-R&D-Manufacturing

Center Groton, CT · On-site

$120K - $150K/yr (+ commission)

Analyze financial and operational performance and take corrective action when necessary ... Engineering & Manufacturing * Work closely with engineering leadership to prioritize R&D and ...

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Financial Engineering information

See Connecticut salary details

$72.3K

$105.4K

$129.4K

How much do financial engineering jobs pay per year?

As of Sep 11, 2026, the average yearly pay for financial engineering in Connecticut is $105,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $118,400.00 per year, depending on experience, location, and employer.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.

What are the key skills and qualifications needed to thrive as a financial engineer, and why are they important?

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze and manage financial risks, design trading strategies, and create financial products. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports decision-making in investment banks, hedge funds, and financial institutions.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banking, investment firms, hedge funds, and insurance companies. They use skills in mathematics, programming, and financial theory to develop models and strategies for trading, risk assessment, and asset management.

What are popular job titles related to Financial Engineering jobs in Connecticut?

For Financial Engineering jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Financial Engineering jobs in Connecticut look for?

The top searched job categories for Financial Engineering jobs in Connecticut are:

Financial Engineering jobs near you
Infographic showing various Financial Engineering job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $105,414 per year, or $50.7 per hour.

Python Software Engineer - Financial Engineering

Guilford, CT • On-site

Risk Analytics Company
See more jobs at Risk Analytics Companyexternal

$100K - $205K/yr

Full-time

Re-posted 13 days ago

Key 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.

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