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Financial Analyst Python Jobs in Connecticut (NOW HIRING)

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

This role is right for you if you're a "hands-on" coder and analyst, take ownership and sound ... Proficient in Python/SAS Programming Language. * Knowledge of advanced statistical techniques and ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$110 - $130/hr

This role is right for you if you're a "hands‑on" coder and analyst, take ownership and sound ... Proficient in Python/SAS Programming Language. * Knowledge of advanced statistical techniques and ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound ... Proficient in Python/SASProgramming Language. * Knowledge of advanced statistical techniques and ...

Webster Bank

Manager, Financial Analytics

Southington, CT · On-site

$107K - $140K/yr

This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound ... Proficient in Python/SASProgramming Language. * Knowledge of advanced statistical techniques and ...

Webster Bank

Manager, Financial Analytics

Waterbury, CT · On-site

$107K - $141K/yr

This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound ... Proficient in Python/SASProgramming Language. * Knowledge of advanced statistical techniques and ...

Webster Bank

Director Financial Analytics

Stamford, CT · On-site

$165 - $180/hr

The Senior Financial Analytics Manager is responsible for leading the development, maintenance ... Proficiency in SAS and/or Python programming languages. * Strong understanding of statistical ...

Lumexa Imaging

Sr. Analyst, Managed Care

Hartford, CT · On-site

$90 - $130/hr

Extract, validate, and manipulate large datasets utilizing programming skills such as SQL, SAS, or Python. * Strategic financial analytics to include financial managed care impacts/forecasts related ...

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IBG, LLC

Senior Software Developer - Python

Chicago, IL · On-site

$125K - $168K/yr

IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in ... Superb analytical and problem-solving skills. * Excellent collaboration and communication (Verbal ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python ... Design, develop, and deploy machine learning and AI-driven solutions for business and financial ...

Infosys Limited

Python AWS Developer

Hartford, CT · On-site

$90 - $120/hr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality ...

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Financial Analyst Python information

See Connecticut salary details

$36.6K

$83.8K

$112.3K

How much do financial analyst python jobs pay per year?

As of Aug 20, 2026, the average yearly pay for financial analyst python in Connecticut is $83,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $105,100.00 per year, depending on experience, location, and employer.

What is a financial analyst python?

A Financial Analyst Python job involves using Python to analyze financial data, build models, automate reporting, and support decision-making. Analysts leverage libraries like Pandas, NumPy, and Matplotlib to clean, visualize, and interpret financial trends. They may work on budgeting, forecasting, risk assessment, or algorithmic trading. Python helps streamline data processing, improve accuracy, and enhance financial insights.

What are the typical daily responsibilities of a financial analyst python?

A Financial Analyst Python typically spends their day gathering, cleaning, and analyzing large datasets to uncover important financial trends and support strategic decisions. The role involves building and maintaining financial models, automating repetitive reporting tasks using Python scripts, and interpreting the results for senior management. Analysts frequently collaborate with other finance team members, data scientists, and business units to align on business objectives and share actionable insights. Daily work may also include monitoring key financial metrics, preparing visualizations, and participating in meetings to communicate findings and recommendations.

What are the key skills and qualifications needed to thrive in the financial analyst python position, and why are they important?

To thrive as a Financial Analyst Python, you need strong analytical abilities, a solid grasp of finance and accounting principles, and advanced proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analytics libraries (such as pandas, NumPy, and matplotlib), databases, and certifications like CFA or relevant data analytics credentials is highly beneficial. Attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are vital soft skills in this role. These capabilities enable effective modeling, accurate forecasting, and meaningful collaboration with both technical and non-technical stakeholders to drive smart financial decisions.

What finance jobs require Python?

Financial analyst roles often require Python for data analysis, automation, and modeling tasks. Proficiency in Python, along with skills in data manipulation libraries like pandas and NumPy, is increasingly valued in finance positions such as quantitative analyst, risk analyst, and investment analyst.

What are the most commonly searched types of Financial Analyst Python jobs in Connecticut?

The most popular types of Financial Analyst Python jobs in Connecticut are:

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

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

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

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

Financial Analyst Python jobs near you
Infographic showing various Financial Analyst Python 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 $83,818 per year, or $40.3 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

$100K - $205K/yr

Full-time

Posted 21 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