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Financial Analyst Python Jobs (NOW HIRING)

Collabera

Finance Analyst

Jersey City, NJ · On-site

Analyze large financial datasets using SQL and Python. Ensure the completeness, accuracy, and integrity of market risk data and models. Perform portfolio impact analysis and communicate findings to ...

BrandSafway

Financial Analyst

Atlanta, GA

$70K - $85K/yr

We are looking for a technically strong, intellectually curious Financial Analyst to join our ... Familiarity with Python or other scripting languages is a plus. BrandSafway offers a competitive ...

Oxy

Financial Analyst

Houston, TX

Prepare and analyze monthly, quarterly, and annual financial reports, including income statement ... Experience with SQL, Python, or data visualization tools (Tableau/Power BI) a plus * SAP ...

Ceridian

Principal Financial Analyst

Minneapolis, MN · On-site

$109K - $127K/yr

Leverage Python for automation, data transformation, and integration of basic AI/ML models within the financial reporting infrastructure. Work closely with the India-based FP&A Shared Services Centre ...

Oxy

Financial Analyst

Houston, TX · On-site

Prepare and analyze monthly, quarterly, and annual financial reports, including income statement ... Experience with SQL, Python, or data visualization tools (Tableau/Power BI) a plus * SAP ...

BrandSafway

Financial Analyst

Atlanta, GA · On-site

$70K - $85K/yr

We are looking for a technically strong, intellectually curious Financial Analyst to join our ... Familiarity with Python or other scripting languages is a plus. BrandSafway offers a competitive ...

Joby Aviation

Manufacturing Financial Analyst

Marina, CA · On-site

$93K - $98K/yr

The Manufacturing Financial Analyst will support the manufacturing organization by providing ... SQL, Python, or data visualization experience is a plus Compensation at Joby is a combination of ...

Joby Aviation

Manufacturing Financial Analyst

Marina, CA · On-site

$93K - $98K/yr

Overview The Manufacturing Financial Analyst will support the manufacturing organization by ... SQL, Python, or data visualization experience is a plus Additional Information Compensation at Joby ...

KMS Solutions, LLC

Financial Analyst - BFM

Alexandria, VA · On-site

$90K - $130K/yr

Experience with data analytics tools such as Power BI, Python, and SQL. Competencies * Leadership and team coordination. * Strategic financial analysis. * Data analytics and visualization. * Risk ...

ProspectBlue

Senior Financial Analyst

Richmond, VA · On-site

$84K - $105K/yr

Experience working with SQL, Python, or other data analysis and reporting tools is advantageous. Strong analytical and problem-solving capabilities with the ability to interpret complex financial ...

PACCAR

Senior Financial Analyst

Renton, WA · On-site

$90K - $128K/yr

Experience with data analytics or visualization tools such as Tableau, Alteryx, Snowflake, Python ... Bachelor's degree in Accounting, Finance, or a related field. * Three or more years of ...

PACCAR

Senior Financial Analyst

Renton, WA

$90K - $128K/yr

Experience with data analytics or visualization tools such as Tableau, Alteryx, Snowflake, Python ... Bachelor's degree in Accounting, Finance, or a related field. * Three or more years of ...

PACCAR

Senior Financial Analyst

Renton, WA · On-site

$90K - $128K/yr

Experience with data analytics or visualization tools such as Tableau, Alteryx, Snowflake, Python ... Bachelor's degree in Accounting, Finance, or a related field. * Three or more years of ...

ConfigUSA

Trade Functional Analyst (Python)

Chicago, IL · On-site

Solid understanding of financial instruments| including equities| fixed income| and derivatives ... Identify operational risks| conduct root cause analysis| and implement process improvements.Produce ...

Cabrera Capital Markets

Financial Analyst

Chicago, IL · On-site

$60K - $90K/yr

Position Summary & Purpose The Financial Analyst supports the Controller in carrying out the ... Python, VBA), and computational and statistical data analysis * 1 year or more years of Broker ...

Pavago

Financial & Data Analyst

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, ... Clean, structure, and transform data using Python, R, or Excel * Perform variance analysis (actual ...

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Financial Analyst Python information

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How much do financial analyst python jobs pay per year?

As of Jul 31, 2026, the average yearly pay for financial analyst python in the United States is $88,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $110,500.00 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.
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What cities are hiring for Financial Analyst Python jobs? Cities with the most Financial Analyst Python job openings:
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Financial Analyst Python jobs near you
Infographic showing various Financial Analyst Python job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $88,111 per year, or $42.4 per hour.

Finance Analyst

Collabera

Jersey City, NJ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Position: Financial Analyst Location: Jersey City, NJ (07310) - Hybrid Duration: 12 Months Pay Range: $55 - $60 Schedule: 40 Hours/Week Position Overview We are seeking an experienced Financial Analyst to support Market Risk initiatives by managing large financial datasets and enhancing risk models. In this role, you will work closely with Risk Methodology, Technology, and Business teams to support the implementation, testing, and governance of Value at Risk (VaR) and Stressed Value at Risk (SVaR) models while ensuring the accuracy and integrity of market risk data. Key Responsibilities Lead data governance for historical market data used in VaR and SVaR calculations. Support the implementation, testing, and enhancement of market risk models. Collaborate with Market Risk, Technology, and Business teams to improve risk management processes. Analyze large financial datasets using SQL and Python. Ensure the completeness, accuracy, and integrity of market risk data and models. Perform portfolio impact analysis and communicate findings to Risk Managers. Support business design, system enhancements, and regulatory initiatives related to Market Risk. Required Qualifications Master's degree (MBA/MS) in Finance, Economics, Accounting, Computer Science, or another quantitative discipline. 10+ years of experience in Market Risk, Quantitative Analytics, or Financial Risk Management. Strong knowledge of Value at Risk (VaR) and Stressed VaR (SVaR) methodologies. Proficiency in SQL, Python, MS Excel, and MS PowerPoint. Experience working with financial time series, market data, and quantitative risk models. Strong analytical, problem-solving, and communication skills with the ability to collaborate across cross-functional teams. Benefits The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.

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