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Cfa Python Jobs (NOW HIRING)

Looking for Business analyst with experince in capital market, Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) certification and experience in Python or Oracle. Risk (market, credit ...

Active CFA Program participation required, defined as having passed CFA Level I, being registered ... Experience with Bloomberg, Aladdin, Python, or other investment research/data tools. * MBA or MS in ...

... A or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus * Some programming skills are a plus (e.g., Python) and a strong self-learner

... A or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus * Some programming skills are a plus (e.g., Python) and a strong self-learner

... CFA designation/active CFA candidate strongly preferred -Experience with Python, SQL, or Power BI is a plus -Excellent communication skills and attention to detail Equal Opportunity Employer ...

Use Python or R for data consumption, aggregation, analysis, and model development * Utilize Power ... the CFA Institute or pursuit thereof Financial Risk Manager Financial Risk Manager (FRM ...

... design of the same Use Python or R for data consumption, aggregation, analysis, and model ... the CFA Institute or pursuit thereof Financial Risk Manager Financial Risk Manager (FRM ...

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CFA Python information

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How much do cfa python jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for cfa python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a CFA Python job?

A CFA Python job typically involves leveraging programming skills, particularly in Python, to enhance financial analysis, quantitative modeling, and investment strategies. Professionals in this role often have a Chartered Financial Analyst (CFA) designation and use Python for tasks such as data analysis, algorithmic trading, risk management, and portfolio optimization. The combination of CFA knowledge and Python expertise is highly valued in asset management, hedge funds, investment banking, and fintech industries.

What are the key skills and qualifications needed to thrive in the Cfa Python position, and why are they important?

To thrive as a CFA Python professional, you need strong quantitative finance knowledge, advanced Python programming skills, and a Chartered Financial Analyst (CFA) designation or progress toward it. Familiarity with data analysis libraries (such as pandas, NumPy), financial modeling tools, and statistical packages is essential. Excellent problem-solving abilities, attention to detail, and effective communication are critical soft skills for success in this role. These skills enable professionals to build robust financial models, analyze complex data sets, and clearly present insights to stakeholders in the finance industry.

What are the typical daily responsibilities of a CFA Python professional?

A CFA Python professional typically spends their day analyzing financial data, developing and maintaining Python-based financial models, and automating investment processes. They interact closely with portfolio managers, analysts, and data engineers to translate investment strategies into code and actionable insights. Reviewing market trends, back-testing strategies, and preparing reports or presentations are also common tasks. This role requires a blend of technical and finance expertise to ensure that the models and analyses support sound investment decisions.

More about CFA Python jobs
What are the most commonly searched types of Cfa Python jobs? The most popular types of Cfa Python jobs are:
What states have the most Cfa Python jobs? States with the most job openings for Cfa Python jobs include:
Infographic showing various Cfa Python job openings in the United States as of July 2026, with employment types broken down into 10% Internship, 78% Full Time, 6% Part Time, 5% Temporary, and 1% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior Product Manager (Asset Management)

Senior Product Manager (Asset Management)

Publicis Sapient

Boston, MA • On-site

$137K - $181K/yr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state. As a Senior Product Manager, you will work closely with business and technology stakeholders to lead end‑to‑end requirements and support agile delivery across asset management platforms.
Responsibilities:
• lead end‑to‑end requirements and support agile delivery across asset management platforms
• translate complex investment and operational workflows into actionable user stories
• drive cross‑functional delivery
Qualifications:
Required:
• 5+ years as a Business Systems Analyst or equivalent role within asset management or financial services
• Strong understanding of front, middle, and back office operations — trade lifecycle, portfolio accounting, investment performance, reconciliation, client reporting
• Working knowledge of financial instruments and products (equities, fixed income, derivatives, alternatives, ETFs, mutual funds)
• Demonstrated ability to independently drive requirements gathering, stakeholder workshops, and documentation with minimal supervision
• Experience facilitating agile ceremonies and performing planning/coordination in a Scrum or Kanban environment
• Proficiency in SQL for querying, data validation, and analytical support
• Awareness of how AI and automation tools (e.g., GitHub Copilot, LLM-based assistants, AI test generation) are transforming the SDLC, with willingness to champion adoption
Preferred:
• CFA charterholder or progress toward CFA designation (Level I, II, or III candidate); CIPM, CAIA, or equivalent certifications also valued
• Understanding of investment performance measurement (TWR, MWR, attribution analysis, benchmark construction) and risk measures (VaR, tracking error, Sharpe ratio)
• Experience with Power BI for dashboard development or data visualization
• Working knowledge of Python for scripting, data manipulation, or automation
• Familiarity with cloud data platforms such as Microsoft Fabric, Azure Synapse, Snowflake, or Databricks
• Experience with JIRA, Azure DevOps, or equivalent agile planning tools
Company:
Publicis sapient is a digital consulting firm that offers consulting, technology, and product management services. It is a sub-organization of Publicis Sapient. Founded in 1990, the company is headquartered in Boston, USA, with a team of 10001+ employees. The company is currently Late Stage.