Full-Time
Senior Quantitative Analyst
Price Optimization and Yield Management
Direct Staffing
No salary listed
San Ramon, CA, USA
In Person
Category
 Quantitative Finance (1) |
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Required Skills
SAS
Data Science
Forecasting
Operations Research
Requirements
- Bachelor’s degree in a Quantitative field
- Masters/Advanced degree - Statistics, Economics, Math, Industrial Engineering or Operations Research; PhD preferred
- 4 to 6 year’s intensive hands-on experience in quantitative analysis
- Extensive experience in data exploration, data mining, data transformation and statistical estimation.
- Advanced knowledge of SAS is preferred.
- Familiarity and hands-on experience developing, testing, and monitoring of the advanced approaches used for forecasting losses at loan-level, such as competing risk hazard/survival and Markov-chain type transition approaches, are a big plus.
- Demonstrated strengths in problem solving, planning and organizing and initiative.
- Highly self-motivated, results oriented and capable of independent and critical thinking and problem solving.
- Strong verbal and written communications skills.
Responsibilities
- Work effectively as a team member with other quantitative analysts at the company, as well as with external consultants.
- Keep abreast with developments in quantitative risk management and industry best practices.
- Work effectively either independently or as part of a team.
- Manage time and resources in a dynamic multi-task environment.
- Perform other duties as assigned.
Desired Qualifications
- PhD preferred
- Experience with forecasting losses at loan-level using competing risk hazard/survival and Markov-chain type transition approaches is a big plus