- Search jobs
- Berkeley, CA
- quantitative analyst
Quantitative analyst Jobs in Berkeley, CA
- Promoted
Senior Quantitative Analyst
VirtualVocationsOakland, California, United StatesQuantitative Research Analyst
Charles SchwabSan Francisco, CA, US- Promoted
Quantitative Developer
Radley JamesSan Francisco Bay Area, United States- Promoted
Software Products Quantitative UX Researcher
US Tech SolutionsSan Francisco, CA, United States- Promoted
Quantitative Volatility Researcher
Millennium Management LLCSan Francisco, CA, United States- Promoted
Postdoctoral Fellow (Quantitative Modeling Group)
Lawrence Berkeley LabBerkeley, CA, United States- Promoted
Transactional Quantitative Analyst
CooleySan Francisco, CA, United States- Promoted
Clean Energy Quantitative Analyst Intern
Pacific Gas and Electric CompanyOakland, CA, United States- Promoted
Senior Quantitative Modeler
Cash AppSan Francisco, CA, United StatesUX Researcher, Quantitative
MediabistroSan Francisco, CA, United StatesUX Researcher, Quantitative
METASan Francisco, CA, United StatesQuantitative Analyst
Merit ServicesCA- Promoted
Quantitative Developer (Python)
Zenith SearchSan Francisco, CA, United States- Promoted
Quantitative Trader
Avenir GroupSan Francisco, CA, United StatesClean Energy Quantitative Analyst Intern
Pacific Gas And Electric CompanyOakland, CA, USQuantitative Developer
Point72San Francisco- Promoted
Senior Quantitative Developer - BQuant
BloombergSan Francisco, CA, United StatesSenior Quantitative Analyst
VirtualVocationsOakland, California, United States- Full-time
A company is looking for a Quantitative Analytics Senior Associate.Key ResponsibilitiesDevelop and validate predictive and machine-learning models for business needsDeliver predictive analysis and insights to address business problemsServe as a senior resource on risk rating models and mentor junior staffRequired QualificationsMaster's degree in a quantitative discipline with 3 years of experience, or Bachelor's degree with 5 years of experienceStrong financial industry knowledge and familiarity with commercial credit riskProficient in advanced analytical programming languages (e.g., Python, R, SAS)Experience with SQL / NoSQL databases and data retrieval techniquesUnderstanding of optimization techniques and model development best practices