Data Architect Volunteer Forest Fire Prevention Derivatives, CrowdDoing

Data Architect Volunteer Forest Fire Prevention Derivatives, CrowdDoing,
See more detailed background on CrowdDoing's forest fire prevention derivatives
https://drive.google.com/file/d/1dBp_HUr-tCCNaeGoSDfPrirRPbaoV3X4/view?usp=sharing
Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Project Manager
Bobby Fishkin, lead author

In 2018, Sacramento was named the "the Most Polluted City on Earth" due to "smoke from Camp Fire," This proposal aims to prevent that from happening again through adopting a systemic approach and collaborating with stakeholders to actively prevent future such events. The insurance industry, along with institutional chief risk officers, have begun to recognize the importance of moving from "loss compensation to loss prevention."

CrowdDoing and Project Heather propose launching a prevention derivative with two new stakeholders: (a) contingent payers who pay in proportion to the reduction in risk, and (b) impact investors who finance social innovations in which their return is similarly proportional to the reduction in risk. It will build on existing precedents for contingent contracts involving social- innovation-based risk prevention.

Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Insurance Underwriter
A spectrum of forest fire risk prevention approaches are available: from creative new social innovations to well-established interventions.The forest fire risk prevention derivative would first survey existing forest fire prevention interventions in Greater Sacramento with an eye towards which ones might be suitable to support and expand. It would then review global social innovations that might be relevant to Northern California to determine which to replicate. Entities involved in risk management and risk securitisation, from insurers to reinsurers to retrocessionaires, ought to welcome the chance to share liability proportionally through a commons of prevention innovations. The prevention derivative can expand as more institutions and individuals join as contingent payers and impact investors in order prevent a larger portion of collective risk. Payments by private and public institutions to support prevention derivatives can be in-kind, through services, and/or financial

Strategic thinking is the most important skill in this role. You should also be analytical with strong organizational abilities. If you also have experience in market research and business operations, wed like to meet you.


We are currently seeking an experienced, motivated, and highly-skilled risk manager to join our operational risk management team. In this role, you will help assess, investigate, and research activities and scenarios and provide expert advice that addresses the questions and concerns surrounding the project or investment. You will also help minimize risk in our day to day operations through performing assessments and providing trainings.

Data Architect Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Duties and Responsibilities
Evaluate current systems, review objectives with stakeholders
Analyze applications, operations, and programming to determine database structural requirements
Propose database solutions through potential system designs
Define database structure, capabilities, backup, recovery and security specifications
Install database systems i.e. develop flowcharts, apply optimum access techniques, coordinate installation actions, document installation process
Facilitate maintenance of database performance
Identify and resolve production and application problems
Evaluate and install new releases
Facilitate training for users
Provide support by responding to user questions, resolving problems, and coding utilities
Self-educate on industry updates i.e. read industry publications, maintain personal networks, participate in professional organizations, participate in educational opportunities
Data Architect Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Requirements and Qualifications
Bachelors degree in computer engineering or related field required
Masters degree in related field prefered
5+ years experience in data analysis required
Knowledge of PHP and C languages required
Familiarity with Oracle prefered
Experience in project management a plus
Experience in distributed systems required
Analytical mind, critical thinker, problem-solver
Meticulous attention to detail
Sold communication skills, both verbal and written