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Quantitative Jobs in San Francisco, CA
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Quantitative • san francisco ca
- Promoted
Quantitative Researcher, Baseball
Cleat StreetSan Francisco, CA, United States- Promoted
QUANTITATIVE RESEARCHER (SAN FRANCISCO)
Insight InvestmentSan Francisco, CA, United StatesQuantitative Financial Engineer
TechBiz Global GmbHSan Francisco, CA, US- Promoted
Group Leader, Quantitative Pharmacology
VirtualVocationsOakland, California, United States- Promoted
Lead Product Researcher, Quantitative
Snap Inc.San Francisco, CA, US- Promoted
QUANTITATIVE TRADING STRATEGIST LEAD
The Voleon GroupBerkeley, CA, United States- Promoted
Quantitative Developer
Manifold TechnologiesBerkeley, CA, US- Promoted
QUANTITATIVE RESEARCHER, MULTI-ASSET
NutanixBerkeley, CA, United States- Promoted
Research Associate Quantitative Biosciences
University of California BerkeleyBerkeley, CA, United StatesQuantitative Analyst
Merit ServicesCA- Promoted
Quantitative UX Researcher, Geo
GoogleSan Francisco, CA, US- Promoted
SENIOR QUANTITATIVE RESEARCHER
evolveSan Francisco, CA, United StatesQuantitative Developer
Point72San Francisco- Promoted
QUANTITATIVE RESEARCHER, MULTI-ASSET
Millennium Management LLCBerkeley, CA, United States- Promoted
QUANTITATIVE DEVELOPER
Jobleads-USBerkeley, CA, United States- Promoted
QUANTITATIVE SALES ASSOCIATE
DatabentoSan Francisco, CA, United States- Promoted
Quantitative Threat Forecasting Analyst
OpenAISan Francisco, CA, USThe average salary range is between $ 120,050 and $ 205,000 year , with the average salary hovering around $ 146,131 year .
- american sign language interpreter (from $ 64,535 to $ 410,475 year)
- anesthesiologist (from $ 50,000 to $ 400,000 year)
- forensic pathologist (from $ 244,941 to $ 338,822 year)
- team owner operator (from $ 143,000 to $ 314,000 year)
- hospitalist (from $ 50,000 to $ 250,000 year)
- investment banker (from $ 175,000 to $ 249,000 year)
- cardiothoracic surgeon (from $ 118,986 to $ 248,150 year)
- director of security (from $ 119,505 to $ 244,650 year)
- chief medical officer (from $ 170,000 to $ 242,619 year)
- primary care physician (from $ 112,383 to $ 240,000 year)
- New York, NY (from $ 115,248 to $ 220,000 year)
- Houston, TX (from $ 105,000 to $ 212,500 year)
- San Francisco, CA (from $ 120,050 to $ 205,000 year)
- Philadelphia, PA (from $ 100,454 to $ 200,768 year)
- Boston, MA (from $ 108,000 to $ 184,513 year)
- Chicago, IL (from $ 109,358 to $ 175,000 year)
- Los Angeles, CA (from $ 90,000 to $ 168,360 year)
- Phoenix, AZ (from $ 97,600 to $ 152,315 year)
The average salary range is between $ 100,000 and $ 200,000 year , with the average salary hovering around $ 139,133 year .
Related searches
Quantitative Researcher, Baseball
Cleat StreetSan Francisco, CA, United States- Full-time
Quantitative Researcher, Baseball
Level : Experienced
Time Type : Full-Time
Compensation : $90,000 - $150,000 base salary + bonus + benefits
Location : San Francisco, CA (On-Site)
Start : Immediately
Cleat Street is a sports analytics company that leverages proprietary technologies in sports prediction markets. Our mission is to be the most innovative sports analytics company in the world. We want to share this expertise with our customers so they can make smarter betting decisions. Learn more at cleatstreet.com .
What We Are Looking For
Cleat Street is looking for an experienced analyst to build some of the most innovative predictive sports models in the world. Professional experience within the fields of predictive sports analytics, applied statistics and probabilistic modeling or financial and economic theory is particularly relevant for this position.
In joining Cleat Street, you will be given the opportunity to develop best-in-class game and player-level predictions. Your prediction models will be directly monetized through our team of experienced traders. The ideal candidate will appreciate the real-time performance feedback loop unique to sports betting and embraces our core values of excellence, transparency, and innovation.
Role and Responsibilities
The person in this role will work with the director of quantitative research in the development of proprietary predictive models for the MLB. This will include :
- Analyzing and interpreting a wide range of sports datasets
- Researching, building, testing, and deploying statistical and / or machine learning models
- Understanding the variance in sporting event outcomes
- Digesting and interpreting real-time market data to inform key forecast assumptions
- Educating colleagues on latest statistical and data processing techniques
- Communicating research findings to key stakeholders across the organization
Requirements
Preferred Qualifications
Compensation and Benefits