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Full Time Cfa Python Jobs (NOW HIRING)

Qode

Lead .NET Developer

Fort Mill, SC · On-site

$51.75 - $68/hr

Fort Mill, SC or New York, NY Employment Type: Full-time Experience: 10 - 18 years About Incedo Inc ... Bonus: Python for data pipelines, Snowflake/Redshift, Kubernetes, FIX/Swift, Excel add-ins, BI ...

Qode

Lead .NET Developer

New York, NY

$64.50 - $84.50/hr

Fort Mill, SC or New York, NY Employment Type: Full-time Experience: 10 - 18 years About Incedo Inc ... Bonus: Python for data pipelines, Snowflake/Redshift, Kubernetes, FIX/Swift, Excel add-ins, BI ...

Qode

Lead .NET Developer

Manhattan, NY · On-site

$64.75 - $84.75/hr

Fort Mill, SC or New York, NY Employment Type: Full-time Experience: 10 - 18 years About Incedo Inc ... Bonus: Python for data pipelines, Snowflake/Redshift, Kubernetes, FIX/Swift, Excel add-ins, BI ...

Qode

Lead .NET Developer

Fort Mill, SC · On-site

$51.75 - $68/hr

Fort Mill, SC or New York, NY Employment Type: Full-time Experience: 10 - 18 years About Incedo Inc ... Bonus: Python for data pipelines, Snowflake/Redshift, Kubernetes, FIX/Swift, Excel add-ins, BI ...

Qode

$54.75 - $71.75/hr

Fort Mill, SC or New York, NY Employment Type: Full-time Experience: 10 - 18 years About Incedo Inc ... Bonus: Python for data pipelines, Snowflake/Redshift, Kubernetes, FIX/Swift, Excel add-ins, BI ...

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Full Time Cfa Python information

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$23K

$140K

$202.5K

How much do full time cfa python jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time cfa python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Cfa Python vs Full Time Cfa Data Analyst?

AspectFull Time Cfa PythonFull Time Cfa Data Analyst
Required CredentialsCFA Charter, Python proficiencyCFA Charter, Data analysis skills
Work EnvironmentFinancial firms, investment teamsFinancial institutions, research departments
Industry UsageAsset management, hedge fundsBanking, investment research
Common Search/ComparisonYesYes

Full Time Cfa Python professionals combine financial expertise with Python programming skills to develop models and automate tasks. Full Time Cfa Data Analysts focus on analyzing financial data to support investment decisions. While both roles require CFA certification, Python skills are essential for Cfa Python roles, whereas data analysis tools are key for Cfa Data Analysts. The roles often overlap in financial firms but serve different functions within the industry.

What are the key skills and qualifications needed to thrive as a Full Time CFA Python professional, and why are they important?

To thrive as a Full Time CFA Python professional, you need a solid background in finance and investment analysis (often with a CFA qualification) as well as strong proficiency in Python programming. Familiarity with financial modeling tools, statistical analysis libraries (such as pandas and NumPy), and experience with data visualization platforms are typically required. Analytical thinking, problem-solving skills, and effective communication set top candidates apart in this role. These skills and qualities enable the creation of robust financial models, accurate data-driven insights, and clear communication of findings to stakeholders.

How does a Full Time CFA Python professional typically collaborate with other teams within a financial organization?

A Full Time CFA Python professional often works closely with investment analysts, portfolio managers, and IT departments to develop, implement, and optimize financial models and data analysis tools. Collaboration usually involves translating financial concepts into efficient Python code, sharing insights from data-driven research, and ensuring that analytical tools align with business objectives. Regular communication and teamwork are essential, as these professionals frequently participate in cross-functional meetings to refine strategies, troubleshoot issues, and implement new solutions.

What does a Full Time CFA Python professional do?

A Full Time CFA Python professional typically combines expertise in finance, investment analysis, and programming. They use their Chartered Financial Analyst (CFA) credentials to analyze financial data, build quantitative models, and automate investment strategies using Python. These professionals often work in asset management, investment banking, or financial technology, leveraging Python to streamline processes, analyze large datasets, and improve decision-making. Their role bridges the gap between finance and technology, making them valuable in data-driven finance teams.
More about Full Time Cfa Python jobs
What cities are hiring for Full Time Cfa Python jobs? Cities with the most Full Time Cfa Python job openings:
What states have the most Full Time Cfa Python jobs? States with the most job openings for Full Time Cfa Python jobs include:
What job categories do people searching Full Time Cfa Python jobs look for? The top searched job categories for Full Time Cfa Python jobs are:
Full Time Cfa Python jobs near you
Infographic showing various Full Time Cfa Python job openings in the United States as of July 2026, with employment types broken down into 13% Locum Tenens, 10% Internship, 65% Full Time, 5% Part Time, 5% Temporary, and 2% Summer. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Municipals Credit Analyst, Senior Associate

Municipals Credit Analyst, Senior Associate

Guggenheim Investments

New York, NY • On-site

$140K - $145K/yr

Full-time

Posted 6 days ago

Job description

Position SummaryGuggenheim Investments is seeking a Municipal Credit Analyst. The Municipal Credit Analyst is responsible for maintaining market coverage, conducting security and portfolio-level analysis, and sourcing and reviewing investments. This position is collaborative and may be cross-functional across credit sectors and portfolio management in response to market conditions. The employee is responsible for intermediating, aggregating, and disseminating market information to credit sector teams, portfolio managers, and senior investment professionals. The employee will report to the Senior Municipal Credit Analyst/Sector Lead. The employee will work in the firm's New York City office, full-time.Responsibilities

Key Responsibilities:

  • Lead evaluation of specialized and complex investments utilizing all available sources of information including governing documents, published research, financial reports, news, rating agency reports, and market information
  • Analyze new issue and secondary market taxable and tax-exempt municipal credits to create reports, analyses, and recommendations
  • Create and maintain analytical models and tools that enhance credit research (e.g. sector-wide credit metric comparable, macro stress testing)
  • In-depth work on the legal characteristics of security structure, such as mutability of cash flow waterfalls, enforceability of tax levies, legality of issuance authorization, substitutability of indentures
  • Monitor portfolio holdings and municipal sectors for credit changes and material news and events
  • Formulate and manage sector investment thesis and strategy and communicate firm-wide, incorporating the firm's macro views
  • Provide the team leader with ongoing information about market sentiment, liquidity, volatility, and other market information about the sector
  • Prioritize investment activities considering Portfolio needs, desk resources, and market risk/value.
  • Create and maintain desk tools that improve investment process and efficiency (e.g., secondary offerings, trade reports, bi-weekly meeting data, credit review log)
  • Create and institutionalize credit research reporting, credit memo templates, and ESG analysis framework
  • Author the municipal sector team's Quarterly Outlook thought leadership piece
  • Ensure adherence with firm policies and procedures with respect to investment underwriting, compliance, trading
  • Direct surveillance, research, and project activities in conjunction with the Team Leader
  • Develop project scope and set priorities for technology and research initiatives
  • Assist in the creation and maintenance of marketing materials
Qualifications

Basic Qualifications

  • BA/BS in a quantitative discipline to include finance, business, economics or accounting
  • Minimum 5 years' experience in credit research and analysis
  • CFA or progress toward CFA is required
  • Experience with industry standard tools and data products such as Bloomberg, BRS, Ipreo, TM3.
  • Strong credit, finance, economic, business, and technical skills
  • Advanced Excel skills are required. SQL, Python skills are desirable
  • Strong written and verbal communication skills
  • Strong commitment to performance and accuracy of work product

Preferred Qualifications

  • Advanced degree (MFE, MBA) or equivalent educational background are desirable.
  • Strong credit, finance, economic, business, and technical skills
  • Ability to multi-task across analytical, administrative, and research activities in a detail oriented and timely manner.
  • Team oriented individual with ability to work independently and work well with diverse groups in a market-paced environment

We are not seeking agency assistance with this role.

We are unable to consider candidates who require current or future visa sponsorship for employment in the United States. Candidates must be authorized to work in the US without current or future visa sponsorship or transfer.

    Salary Range

    Annual base salary between

    $140,000.00-$145,000.00

    The base salary range represents the low and high end of the anticipated base salary range for this position. Actual base salaries may vary depending on factors such as location and experience. The range listed reflects base salary only, and the total compensation package may include other components such as incentive compensation.

    Apply