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Cfa Python Jobs in New York (NOW HIRING)

Mercor

Junior Investment Analyst - Remote

New York, NY · Remote

$105/hr

CFA Level I/II candidate. * Exposure to public equities or asset management. * Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to complete) * Upload resume

CIBC

CIBC US Capital Markets

New York, NY · On-site

$115K - $400K/yr

CFA charter holder or working towards a similar designation. Bachelor's or master's degree in ... Knowledge of programming languages such as VBA and python experience required. Strong analytical ...

CIBC

CIBC US Capital Markets

New York, NY · On-site

$115K - $400K/yr

CFA charter holder or working towards a similar designation. Bachelor's or master's degree in ... Knowledge of programming languages such as VBA and python experience required. Strong analytical ...

CIBC US

CIBC US Capital Markets

New York, NY

$115K - $400K/yr

CFA charter holder or working towards a similar designation. Bachelor's or master's degree in ... Knowledge of programming languages such as VBA and python experience required. Strong analytical ...

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How much do cfa python jobs pay per hour?

As of May 31, 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.
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Cfa Python jobs near you
Infographic showing various Cfa Python job openings in New York as of May 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Fundamental Data Researcher for Systematic Strategies (New York or Chicago)

Quanta Search

Manhattan, NY

Other

Posted 12 days ago

Job description

Our clientis one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, credit, and foreign exchange. The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:
A portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher.
Responsibilities:
  • Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.)
  • Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events
  • Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies
  • In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes
  • Proactively search for alternative, unstructured data sets with signal potential for corporate credit

Requirements:
  • Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline
  • 2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role
  • CPA 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
  • Tenacious, detail-orientated, and organized
  • Strong communication skills
  • Team player, driven and collaborative

Apply