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Financial Engineer Jobs in Connecticut (NOW HIRING)

PATRIOT BANK, N.A.

Financial Analyst

Stamford, CT · On-site

Support strategic planning, FP&A, and treasury functions to optimize financial performance and ... Knowledge of SQL and Microsoft Power BI is preferred or demonstrated strong computer programming ...

Voya Financial, Inc.

Lead Solution Engineer

Windsor, CT · On-site

$102K - $134K/yr

Together we fight for everyone's opportunity for a better financial future. We will do this ... Under the direction of the Solutions Engineering Consultant, work as a member of a large, complex ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... Proficient in Python/SAS Programming Language. * Knowledge of advanced statistical techniques and ...

ENCOMPASS DIGITAL MEDIA LLC

Senior Analyst, FP&A

Stamford, CT · On-site

$91K - $113K/yr

Senior Financial Analyst, FP&A Department: North America Finance - Financial Planning & Analysis ... Support Operations & Engineering expense planning, monthly variance analysis, run-rate tracking ...

New

ENCOMPASS DIGITAL MEDIA LLC

Senior Analyst, FP&A

Stamford, CT · On-site

$91K - $113K/yr

Senior Financial Analyst, FP&A Department: North America Finance - Financial Planning & Analysis ... Support Operations & Engineering expense planning, monthly variance analysis, run-rate tracking ...

New

Voya Financial, Inc.

Lead Solution Engineer

Windsor, CT · On-site

$102K - $134K/yr

Together we fight for everyone's opportunity for a better financial future. We will do this ... Multiple DevOps (Jenkins, GitHub, ArgoCD, or Artifactory,) tools, and techniques and experience in ...

AmTrust Financial

Claim Representative

Southington, CT · On-site

Bachelor's degree in business, finance, engineering, or a related field, or equivalent work experience. * Proficiency in using Property Claims estimating software and other relevant tools. * Ability ...

Make The Road States

Financial Analyst

Bridgeport, CT · On-site

$57K - $66K/yr

From an operational spectrum it serves as the Finance and Human Resources Compliance Officers for ... and support programming, and legal services, to support communities, their members and their ...

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All JobsFinancial Engineer JobsFinancial Engineer Jobs in Connecticut

Financial Engineer information

See Connecticut salary details

$72.3K

$105.4K

$129.4K

How much do financial engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for financial engineer 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 the difference between Financial Engineer vs Quantitative Analyst?

AspectFinancial EngineerQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or engineering; often CFA or FRM certificationsDegree in finance, mathematics, or statistics; often CFA or FRM certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, hedge funds, investment banks
Job FocusDeveloping complex financial models, derivatives pricing, risk managementData analysis, model development, trading strategies
Common UsageDesigning financial products and strategiesAnalyzing data to inform trading decisions

Financial Engineers and Quantitative Analysts share similar educational backgrounds and certifications, often working in similar environments like investment banks and hedge funds. While Financial Engineers focus on creating complex financial models and derivatives, Quantitative Analysts primarily analyze data to support trading strategies. Both roles require strong quantitative skills and contribute to financial innovation and risk management.

What are some common challenges financial engineers face when developing quantitative models, and how can they address them?

Financial Engineers often encounter challenges such as ensuring model accuracy, dealing with incomplete or noisy data, and adapting models to rapidly changing market conditions. Addressing these issues typically requires strong collaboration with data scientists, risk managers, and traders to validate assumptions and stress-test models under various scenarios. Staying current with industry trends and regulatory requirements also helps Financial Engineers maintain robust, compliant solutions that add value to their organizations.

What skills should a financial engineer have?

To thrive as a Financial Engineer, you need a strong background in mathematics, statistics, finance, and programming, typically supported by a degree in quantitative fields such as finance, mathematics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, financial modeling software, and sometimes certifications like CFA or FRM is highly valued. Exceptional problem-solving, analytical thinking, and the ability to communicate complex concepts clearly are vital soft skills. These skills and qualifications are crucial for designing innovative financial models, managing risks, and enabling data-driven decision-making in complex financial environments.

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 is a financial engineer?

A financial engineer, also called a computational engineer, advises clients on investment strategies and risk management based on quantitative analysis of their portfolio and the atmosphere in the stock market. As a financial engineer, your job duties include analyzing the stock market to predict how stocks will perform, building models of trends in the stock market based on market history, and make recommendations on how to manage their portfolio.

What is a financial engineer?

A Financial Engineer is a professional who applies mathematical techniques, computational tools, and financial theory to solve complex problems in finance. They are often involved in designing financial products, developing risk management strategies, and building quantitative models for pricing, trading, and portfolio management. Financial Engineers typically work for banks, investment firms, or financial technology companies, and their expertise is essential for managing financial risks and innovating new financial instruments.
More about Financial Engineer jobs
What are popular job titles related to Financial Engineer jobs in Connecticut? For Financial Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Financial Engineer jobs in Connecticut look for? The top searched job categories for Financial Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Financial Engineer jobs? Cities in Connecticut with the most Financial Engineer job openings:
What are popular job titles related to Financial Engineer jobs in CT? For Financial Engineer jobs in CT, the most frequently searched job titles are:
Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Connecticut as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $105,414 per year, or $50.7 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

$100K - $205K/yr

Full-time

Posted 9 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