Remote Quantitative Research Analyst

Ocean Park Asset

Santa Monica, Northern (CA, KY)

Hybrid

USD 179,000 - 303,000

Part time

13 days ago
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Benefits offered by this job

Fully remote
Flexible hours
Immediate start

Job summary

Ocean Park Asset is seeking a Financial Analyst to turn markets and performance data into decisions leadership and clients can act on. You will sit close to our quantitative systems and translate outputs into research, reporting, and insight.

If you prefer the analytical side of finance to the political one, this is a good seat. You’ll conduct research, build dashboards, write investment memos, and collaborate with engineering to improve what our data can tell us.

Qualifications

  • Experience in financial analysis, investment research, or data analysis.
  • Strong Excel skills; ability to use SQL or Python with real datasets.
  • Clear, readable writing and the ability to summarize insights.
  • Genuine curiosity about markets and quantitative methods.

Responsibilities

  • Conduct market, sector, and strategy research.
  • Analyze performance, attribution, and risk metrics across our systems.
  • Build and maintain dashboards and recurring reporting.
  • Write investment memos and research notes for internal and client use.
  • Support quantitative model evaluation with data analysis and backtesting.
  • Partner with the engineering team to improve what our data can tell us.

Skills

Financial analysis
Investment research
Data analysis
Excel
SQL or Python

Education

CFA/FRM credential (in progress or complete)

Tools

SQL
Python

Job description

Ocean Park Asset is seeking a Financial Analyst to turn markets and performance data into decisions leadership and clients can act on. You will sit close to our quantitative systems and translate outputs into research, reporting, and insight.

If you prefer the analytical side of finance to the political one, this is a good seat. You’ll conduct research, build dashboards, write investment memos, and collaborate with engineering to improve what our data can tell us.

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