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Cfa Python Jobs in New York (NOW HIRING)

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Cfa Python information

See New York salary details

$14

$64

$94

How much do cfa python jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for cfa python in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 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.

Infographic showing various Cfa Python job openings in New York as of June 2026, with employment types broken down into 71% Full Time, 18% Part Time, and 11% Temporary. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.
Analyst (ex-IB / Buy side)

Analyst (ex-IB / Buy side)

Arcana

Manhattan, NY • On-site

Other

Posted 6 days ago


Job description

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation.


This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we’d love to talk.


Responsibilities

  • Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components
  • Analyze portfolio- and security-level performance, risk, and attribution
  • Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes
  • Conduct market, macroeconomic, and security-level research to support client workflows and product insights
  • Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients


Requirements

  • 2–4 years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar)
  • Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets
  • Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility
  • Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights
  • Demonstrated deep interest in financial markets, investment strategies, and institutional workflows
  • Self-starter with the ability to work independently in a fast-paced, remote environment
  • Familiarity with institutional investment processes, research platforms, and financial data tools


Qualifications

  • Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field
  • Minimum GPA of 3.7 (required)
  • CFA, FRM, or MBA is a strong plus
  • Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus