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Cfa Python Jobs in California (NOW HIRING)

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

AVP, Market Risk

Westlake Village, CA ยท 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 ...

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

... 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 ...

Minimum of a Bachelor's Degree, preferably in Economics or Finance; MBA/CFA or in program is a plus ... Strong technology skills, including proficiency in SQL, Python, and MS Excel is preferred

Minimum of a Bachelor's Degree, preferably in Economics or Finance; MBA/CFA or in program is a plus ... Strong technology skills, including proficiency in SQL, Python, and MS Excel is preferred*

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 Sep 13, 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, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Quantitative Equity Research Associate

Los Angeles, CA โ€ข On-site

Hotchkis & Wiley
51 - 200 employees

$110K - $140K/yr

Full-time

Posted 9 days ago


Job description

About the Position
Hotchkis & Wiley is seeking a highly motivated individual to become part of our Research Associate Program. The Research Associates support our Investment Team, which currently consists of 24 members. The Quantitative Equity Research Associate is a two-year opportunity, but the company may extend the position to four years to incorporate increased exposure to fundamental company analysis.
Hotchkis & Wiley is a research-driven institutional asset management firm with a team-oriented, collaborative culture. We have a strong track record of identifying attractive investment opportunities globally across the entire market capitalization range and across the capital structure for publicly traded securities. Our experienced team of investment professionals is committed to providing individual mentorship to our Research Associates and helping them develop investment judgment over time.
The Quantitative Equity Research Associate will work together with our equity analysts/portfolio managers in conducting in-depth fundamental and quantitative research for our clients, including financial modeling and the development and maintenance of our financial data infrastructure. The position is located in Los Angeles and offers a hybrid of in-office and work from home flexibility.
While this program was originally designed to give pre-MBA candidates the unique opportunity to experience the asset management business prior to Business School, we may consider MFin or Master's level candidates whom we believe would derive benefit from our program. Note that the applicant must be able to legally work in the U.S. without sponsorship.
Specific Responsibilities Include
  • Develop and maintain proprietary analytical models and databases
  • Collaborate with the investment team on research projects, including building tools to streamline the investment process
  • Develop and maintain our Bloomberg financial data infrastructure
  • Prepare investment update memos and participate in the fundamental research process
  • Understand and incorporate relevant economic and industry trends
  • Support colleagues on projects including portfolio analytics, portfolio reporting, and client service
  • Provide analysis for client service as needed

Skills & Experience Required
  • Bachelor's Degree (CFA a plus) with excellent academic credentials
  • 1-3 years of relevant experience in pension fund consulting, investment banking, accounting, or related financial services
  • Strong analytical and quantitative skills, including intermediate knowledge of Excel, accounting and finance. Experience with Bloomberg a plus. Knowledge of Python programming also a plus
  • Good communication skills, particularly written
  • A passion for equity investing combined with creativity, integrity, and intellectual honesty
  • Clients first mentality: a positive, energetic, and responsive attitude
  • Team oriented individual who is willing to take the initiative and accept increasing responsibility

The expected base salary range for this position is generally between $110,000 to $140,000 per year. This position is eligible for a discretionary bonus as part of a total compensation package which also includes our company sponsored benefit programs. Base salary is determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, and market factors.
About Hotchkis & Wiley
Hotchkis & Wiley is an institutional asset management firm overseeing U.S. and global value equity and high yield portfolios for clients worldwide. The firm currently manages approximately $40 billion in assets and is majority owned by its management and employees. For more information refer to our website, www.hwcm.com.
Link to apply: https://hwcm.bamboohr.com/careers/65
Hotchkis & Wiley is an Equal Opportunity employer (EEO), and all employees and applicants will be entitled to equal employment opportunities when employment decisions are made. Hotchkis & Wiley will take affirmative action to recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or membership in a historically under-represented group.