Disaster Model Validation Lead

  • One Concern
  • Menlo Park, CA, USA
  • Mar 11, 2020
Full Time

Job Description

One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world.
One Concern is growing rapidly and we are looking for a passionate and motivated Disaster Model Validation Lead to join our team. In your role, you will lead the overall Model Risk Management Framework, and be responsible for execution of validation activities for disaster models, model performance evaluations, and working with product teams to ensure that models and metrics meet customer objectives.

Daily responsibilities to include:

  • Manage the overall Model Risk Management Framework, revise as necessary based on new challenges and business needs
  • Ensure compliance with widely accepted standardsImplement validation processes to effectively challenge the model development process, conceptual soundness, model performance, implementation, and appropriateness of model use
  • Evaluate impact models for different disasters to people and property
  • Clearly communicate and document findings to internal and external stakeholders in a collaborative manner
  • Manage external independent validation process and track incorporation of their feedback by model development teams

Must-haves:

  • Ph.D. or Master’s degree in civil engineering, economics, statistics or related field with emphasis on disaster risk 
  • Strong background in probability and statistics, and quantitative risk assessment
  • Experience in developing and validating machine-learning modelsKnowledge of and experience in statistical tools like Python or R
  • Ability to assess model conceptual design, back-testing of model results, theoretical underpinnings and assumptions, and compliance of model results with intended application by model users
  • 2-3 years of related experience in hands-on model development or validation for disaster risk
  • Strong attention to detail
  • Communication and leadership experience, with experience initiating and driving projects
  • Mission driven

Bonus points if you have:

  • Experience in leading projects
  • Experience in creating and implementing machine learning validation processes
  • Experience in one or more of the following - seismic hazard analysis, flood inundation modeling, or vulnerability modeling

Perks and Benefits

  • Market-competitive salary plus equity
  • Comprehensive medical, dental, and vision insurance
  • Daily catered lunches, and a fully-stocked kitchen
  • Generous PTO policy
  • Team off-sites
  • Flexible working hours

Headcount

51-200 employees  

Categories

Buildings & Cities