Predictive Modeler
Location:
San Francisco, California
Posted:
June 02, 2016
Position Type:
Full Time
Category:
Analyst
Reference:
34794
Symantec is establishing itself as the pre-eminent partner to the global cyber insurance industry and is uniquely positioned to do so as the world's largest cyber security company. Cyber insurance is a financial product that is paid out by the insurance industry to companies in case of various cyber security and data privacy incidents and is one of the fastest growing lines of insurance to emerge in decades (currently growing at 35-50% YoY). Symantec is the first major cyber security company to partner with leaders in the cyber insurance industry to develop insurance analytic products that will shape the ways insurers understand cyber risk, as well as having implications for government and society. Symantec is also driving go-to-market product innovation at the intersection of cyber security and insurance as it develops insurance as a new channel to benefit our end consumer and business customers. Joining this rapidly growing start-up-like group within Symantec provides you with opportunities to shape the future of some of the most cutting edge issues in cyber security and insurance.

Predictive Modeler

Primary responsibilities:
Identify, evaluate and recommend statistical methods for use in analysis as appropriate
Use appropriate statistical techniques to identify factors that correlate with severity and frequency metrics
Identify, interpret and validate key findings with team members to ensure high quality deliverables.
Communicate analysis results effectively with internal customers as well as external business partners, as needed.
Continuously validate and adapt model to changing environment.
Participate in internal research and development activities, as needed.
Provide analytical support to other team members, as needed.

Secondary responsibilities:
Search and identify relevant sources of publicly available information/data that will support the development and enhancement of new and existing underwriting and actuarial tools.
Review each data source carefully to ensure consistency, identify deficiencies and perform basic tests/analysis to confirm accuracy of the data.
Develop process (manual or automated) to merge new data sources together (or with existing data sources) when needed.
Using Excel, Access, or other relevant software, create a master database of all identified relevant data sources.
Create comprehensive documentation (e.g. data source, date of last update, description of information provided, etc.) for the different data sources available as well as the process developed to merge sources.

Skills and Qualifications:
Organization, Attention to Detail, Confidentiality, Thoroughness, Independence, Ability to Analyze Information, Results Driven, Bias Toward Efficiency
Ability to work independently and in a team environment, Excellent analytical and problem-solving skills, hands-on experience with R, SAS, MatLab, SPSS, Hyperion or other statistical software

Education - Bachelor's degree in a related quantitative discipline such as statistics, actuarial or data science, economics, mathematics and/or relevant work experience.

Experience - 2 to 5 years of relevant work experience.

*LI-AM
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Symantec is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.
A little about us:
At Symantec, you’ll prosper at one of the world’s largest software companies, while helping protect the world’s digital information and interactions.

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