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Financial Analyst Python Jobs in Connecticut (NOW HIRING)

Talcott Financial Group

Risk Analyst

Hartford, CT · On-site

$70K - $90K/yr

... Python, or BI platforms * Partner with Investment Management, Finance, and Actuarial teams to ... Strong analytical skills and demonstrated ability to work with large datasets * Proficiency in ...

Talcott Financial Group

Senior Risk Analyst

Hartford, CT · On-site

$107K - $127K/yr

... financial analytics * An ASA, FSA, or CFA designation is a plus * Proficiency in Excel, VBA, and SQL are required * Experience with Python, Power BI, or similar tools for automation and data ...

Munich Re

FP&A Financial Specialist

Hartford, CT · On-site

The analyst will lead validation efforts for Oracle PCM, develop advanced Power BI models, and co ... Python experience preferred * Familiarity with EPM tools such as Oracle Enterprise Planning ...

Munich Re

FP&A Financial Specialist

Hartford, CT · On-site

The analyst will lead validation efforts for Oracle PCM, develop advanced Power BI models, and co ... Python experience preferred * Familiarity with EPM tools such as Oracle Enterprise Planning ...

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 ...

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Financial Analyst Python information

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$36.6K

$83.8K

$112.3K

How much do financial analyst python jobs pay per year?

As of Jul 10, 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 job?

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.

Do financial analysts use Python?

Financial analysts often use Python for data analysis, modeling, and automation due to its powerful libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks, making it a valuable skill for the role.

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. Skills in Python, along with knowledge of financial concepts and tools like pandas or NumPy, are highly valued in these positions.

Is AI replacing financial analysts?

AI is transforming the role of financial analysts by automating data analysis, forecasting, and reporting tasks, allowing analysts to focus on strategic decision-making. While AI tools can handle routine work, human judgment and expertise remain essential for interpreting complex financial data and providing insights. Financial analysts who develop skills in data analysis, programming, and AI tools can adapt to these technological changes effectively.

Is Python enough to get a finance job?

For a financial analyst role, Python is a valuable skill for data analysis, automation, and modeling, but it is typically not sufficient on its own. Employers also look for knowledge of finance concepts, Excel proficiency, and sometimes certifications like CFA or CPA. Combining Python with domain expertise and other tools increases job prospects in finance.
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $83,818 per year, or $40.3 per hour.
Risk Analyst

Risk Analyst

Talcott Financial Group

Hartford, CT • On-site

$70K - $90K/yr

Full-time

Posted 29 days ago

Job description

Overview:
Enterprise Risk Management (ERM) operates as an independent second line of defense, responsible for maintaining and enforcing Talcott's risk management framework across all subsidiaries. One of our key accountabilities is to monitor key exposures across market, credit, liquidity, and insurance risks. We produce actionable, data-driven risk insights This team is composed of actuaries, CFA charter holders, and risk professionals. The Enterprise Risk Management team partners closely with other business partners in Investment Management, Finance, and Actuarial functions. Our selected candidate will support ERM's reporting and analytics function as they focus on producing and/or enhancing recurring risk reports. The Risk Analyst will cultivate a strong understanding of underlying data, methodologies, and risk concepts as they monitor key risk exposures.
Additionally, this individual will take ownership of key risk reporting processes while supporting changes in risk metrics. They might be asked to suggest automated reporting process improvements or updates. Our Risk Analyst position will offer the selected candidate exposure to Senior ERM Leadership such as the Head of Risk Reporting and the Chief Risk Officer. The selected candidate will work on a hybrid in-office schedule at either our Hartford, CT office or our Charlotte, NC office.
Responsibilities:
  • Support the production of recurring ERM reports across key risk areas, including mark-to-market exposure, issuer concentration limits, WARF metrics, hedge effectiveness, liquidity, and stress testing
  • Assist in analyzing changes in risk metrics and investigating drivers of volatility or limit utilization
  • Develop familiarity with data sources, methodologies, and controls underlying ERM reporting
  • Support liquidity analysis through cash flow monitoring and scenario-based reporting
  • Monitor portfolio exposures relative to risk appetite, limits, and investment guidelines
  • Assist in updating reporting frameworks to incorporate new transactions (e.g., block and flow reinsurance deals)
  • Contribute to automation and process improvement initiatives using tools such as SQL, VBA, Python, or BI platforms
  • Partner with Investment Management, Finance, and Actuarial teams to ensure consistency and accuracy of inputs

Qualifications:
  • Bachelor's degree in actuarial science, finance, risk management, or a related quantitative field
  • Minimum of 1 year of experience in insurance, asset management or financial analytics
  • Strong analytical skills and demonstrated ability to work with large datasets
  • Proficiency in Excel, VBA, and SQL are required
  • Exposure to Python, Power BI, or similar tools is a plus
  • Strong attention to detail and ability to manage multiple deliverables
  • Effective communication skills, with the ability to explain analytical results clearly
  • Excellent communication and interpersonal skills, with the ability to collaborate with various stakeholders at all levels within the organization
  • Understand interdependencies and workflow between functions and geographies within a group framework
  • Self-reliant and capable of quickly learning new concepts while remaining adaptable to changing needs on a fast-paced team
  • Results-oriented with a demonstrated ability to work under tight deadlines in a high-performance environment.

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