Pay
Lower than most similar jobs
$100K–$115K against $118K–$195K, the middle half of what similar US postings state.
From 3,820 postings in the last year. Stated ranges, not salaries paid.
Los Angeles, CA - Los Angeles, CA 90071
Live, first seen by us 31 days agoBase Salary Range The estimated base salary range for this position is $100,000 – $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.Read the full posting
Develop and maintain analytical solutions to scrutinize large data sets
Manage and improve portfolio, risk and counterparty exposure tools
Monitor investment positions and track evolving risk factors
Run top-down and bottom-up research across multiple investment markets
Develop and maintain analytical solutions to scrutinize large data sets
Manage and improve tools for portfolio and risk management, counterparty exposures and market analysis
Conduct surveillance of investment positions and track evolving risk factors
Support portfolio managers by carrying out top-down and bottom-up research across multiple investment markets
1+ years experience in the asset management industry
Strong Python and R programming skills
Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis]
Excellent analytical skills and empirical research experience
Experience working with large datasets/databases
Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$100K–$115K against $118K–$195K, the middle half of what similar US postings state.
From 3,820 postings in the last year. Stated ranges, not salaries paid.
Day 31
Similar jobs usually come down between day 7 and day 57.
From 10,934 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Excellent analytical skills and empirical research experience - Strong Python and R programming skills; We also value candidates with strong programming fundamentals over familiarity with any specific language. - Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred.
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New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk systems and portfolio monitoring tools by supporting the investment teams. The Quantitative Analyst will present analysis to the investment team in a clear and concise manner. The ideal candidate should have a strong passion for quantitative research and insight generation.
Job Functions
Advanced degree in quantitative discipline preferred and 1+ years experience in the asset management industry
Excellent analytical skills and empirical research experience
Strong Python and R programming skills; We also value candidates with strong programming fundamentals over familiarity with any specific language.
Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred.
Experience working with large datasets/databases
Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis]
Strong research skills, including ability to problem solve creatively
Ability to prioritize time and tasks effectively and meet deadlines
Ability to present analysis clearly and effectively
Base Salary Range
The estimated base salary range for this position is $100,000 – $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Base Salary Range The estimated base salary range for this position is $100,000 – $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.
Los Angeles, CA - Los Angeles, CA 90071
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.