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Cfa Python Jobs in California (NOW HIRING)

Quantitative Developer

Pasadena, CA · On-site

$140K - $170K/yr

Strong programming skills, with proficiency in Python, SQL and Linux * Solid understanding of fixed ... Additional post graduate qualifications such as MFE or CFA. Franklin Templeton offers employees a ...

AVP, Market Risk

Westlake Village, CA · On-site

$100K - $123K/yr

... Python. Hands-on experience trading TBAs, interest rate swaps, and futures. * Advanced speaking and writing communication skills. * CFA designation a plus but not required. Compensation: Salary range ...

Quantitative Developer

Pasadena, CA · Hybrid

$140K - $170K/yr

Strong programming skills, with proficiency in Python, SQL and Linux * Solid understanding of fixed ... Additional post graduate qualifications such as MFE or CFA. Franklin Templeton offers employees a ...

PREFERRED SKILLS AND EXPERIENCE: * MBA or CFA preferred. * Bachelor's degree in Finance, Accounting ... Strong analytical skills with proficiency in financial modeling (e.g., Excel, Python, Bloomberg ...

Experience with Python for data analysis, reporting automation, and investment research ... Currently pursuing or intending to pursue the Chartered Financial Analyst (CFA) designation.

Unit 3 - CFA - California Faculty Association, Tenured/Tenure-Track, Full Time, Faculty - Health ... MATLAB, Python, R) * Experience maintaining software and hardware related to biomechanics research

Showing results 41-60

Cfa Python information

See California salary details

$13

$57

$85

How much do cfa python jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for cfa python in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a CFA Python?

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 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.

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.

Infographic showing various Cfa Python job openings in California as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

$80K - $110K/yr

Full-time

Posted 23 days ago


Job description

Position Overview

Green Street seeks highly motivated candidates with relevant work experience and superior academic credentials to join its Market Analytics team. Green Street's Market Analytics team offers the unique opportunity to help develop an expanding product line and produce market-level insights across property sectors within an acclaimed research group.

Job Responsibilities
  • Prepare and publish a wide range of macroeconomic and market-focused reports
  • Collect, organize, and analyze real estate information on markets and submarkets throughout the United States
  • Build and maintain complex financial models and databases
  • Become an expert of Green Street's research methodologies and valuation framework to be able to communicate effectively with clients
  • Closely follow and understand real estate market activity and the impact of news events on specific sectors, markets, and assets
  • Analyze diverse data to form a cohesive macroeconomic and real estate outlook
  • Demonstrate resourcefulness by seeking out new and unusual sources of information
Candidate Profile

In addition to a strong work ethic and motivation to learn, the Associate position requires the following skills: meticulous attention to detail, strong financial data analysis skills, exceptional communication abilities (both written and verbal), high-level of organization, creativity and resourcefulness. Strong analytical skills and a background in finance are required. The ideal candidate will have:

  • Bachelor's or Master's degree with a focus in finance, accounting, real estate, economics, or a related field or significant experience in financial services and/or commercial real estate
  • 1-3 years experience in real estate, capital markets, or conducting financial/economic research; investment banking experience a plus
  • The ability to multi-task effectively while maintaining accuracy
  • Strong attention to detail and commitment to data integrity
  • Must enjoy writing research reports, problem solving, and possess excellent verbal and written communication skills
  • Expert Excel skills
  • Experience leveraging AI tools to streamline responsibilities and enhance output
  • Familiarity with R, SAS, or other statistical packages/programs or coding skills in SQL, Python or other database/programming applications a plus
  • Interest in or currently pursuing the CFA designation
Compensation, Benefits and Work Authorization

In addition to the posted base salary range, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.Green Street will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Company Overview and EEOC/Diversity

Green Street is a forward-thinking real assets company at the forefront of transforming the commercial real estate market with cutting-edge predictive analytics, data-driven insights, and actionable intelligence. With over 40 years of expertise, Green Street empowers investors, lenders, banks, and industry stakeholders across the U.S., Canada, Europe and Asia to make optimized investment and strategic decisions. To learn more, please visit www.greenstreet.com.

The success of Green Street is directly attributable to the strength of our people. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. We're building a company culture where differences are celebrated and valued.

Green Street is an Equal Opportunity Employer

 

Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Pay RangeUSD $80,000.00 - USD $110,000.00 /Yr.Incentive Performance Bonus+ Incentive Performance BonusEmployment Type: FULL_TIME