Applied Statistician/ Atmospheric Perils Modeling
Company: Society for Conservation Biology
Posted on: November 26, 2022
We help the world see new possibilities and inspire change for
better tomorrows. Our analytic solutions bridge content, data, and
analytics to help business, people, and society become stronger,
more resilient, and sustainable.
Applied Statistician: Atmospheric Perils Modeling
Come join the Stochastic Atmospheric Perils Modeling Team in Verisk
Extreme Event Solution's Boston-based Research Department, and
contribute to building the next generation of probabilistic
catastrophe models for assessing the risk of extreme weather. Our
team's projects offer opportunities for creative problem-solving on
a boundless set of interesting statistical problems at the
interface of extreme weather, climate change, and risk. Catastrophe
models depend fundamentally on hierarchical modeling of space-time
physical processes, inference from heterogeneous and incomplete
calibration data, and use of ensemble techniques to quantify
uncertainties. We learn continuously through interdisciplinary
collaborations with a diverse team of meteorologists, applied
mathematicians, climate scientists, engineers, and hydrologists. As
such, this is a fantastic position for a curious statistician with
an interest in modeling atmospheric processes! In addition to
possessing sharp technical skills, we also hope you will bring a
practical, applied mindset to the role. Our team's work contributes
toward building tools that enable the (re)insurance sector to make
sound decisions to enhance social resilience to natural
Day To Day Responsibilities
* First projects are likely to be contributing collaboratively to
model formulation, improvement, and implementation for building
Verisk's next generation tropical cyclone models.
* Work with domain-area experts in meteorology, hydrology, and
engineering to understand relevant data sets and translate model
calibration and validation needs into statistical analysis and
* Analyze and validate Verisk Extreme Event Solution's simulated
hurricane track sets against observational data to ensure
statistical robustness. Perform validation exercises to demonstrate
statistical rigor of models, sometimes as part of regulatory
requirements. As part of a team, defend the statistical analysis on
behalf of Verisk Extreme Event Solutions to external clients and
* Contribute to identification, inference, and modeling of
significant non-stationarities in tropical cyclone data, including
those that may be due to climate change.
* Help formulate answers to client questions related to the
statistical aspects of Verisk Extreme Event Solution's tropical
* Soundboard modeling problems of fellow statistician team members
working on other projects, and contribute to a team culture of
mutual support, respect, and continued learning.
* Advanced degree in statistics or equivalent statistical modeling
experience required (PhD in statistics preferred; position can be
flexed for early or mid-career applicants for candidates with a
great fit in skills and interests.)
* Theoretical and applied command of time-series and/or spatial
and/or spatio-temporal statistical modeling techniques. Comfort
with Bayesian hierarchical modeling required.
* Excellent communication in both technical and non-technical
* Ability to present and defend statistical results on behalf of
the organization in front of external statisticians and regulators.
Willingness and confidence to provide statistical leadership and
guidance to team members and senior management.
* Motivated to contribute creative technical solutions to
collaborative team projects, and to implement solutions
reproducibly in robust and well-tested code
* Fluency in R programming language is a necessity
* Programming in other languages (python, Matlab, Fortran, C, C++,
Java) would be a plus, as would be proficiency in shell scripting
and cluster computing
* Expertise in any of the following topics would be a bonus: data
assimilation, extreme value theory, Gaussian process emulation of
high-dimensional computer models
* Experience modeling atmospheric or climatic phenomena, or
interpreting statistical inference in terms of physical systems,
would be a significant advantage.
* Experience with R package development and version control would
also strengthen candidacy.
* Strong organizational skills that promote reproducible research
workflows are also desired.
In 2022, Verisk received Great Place to Work - Certification for
our outstanding workplace culture for the sixth year in a row and
second-time certification in the UK, Spain, and India. We're also
one of the 38 companies on the UK's Best Workplaces--- list and one
of 18 companies on Spain's Best Workplaces--- list.
For over fifty years and through innovation, interpretation, and
professional insight, Verisk has replaced uncertainty with
precision to unlock opportunities that deliver significant and
demonstrable impact. From our historic roots in risk assessment,
we've grown to provide analytic insights that help transform
industries focused on some of the world's most critical areas.
Today, the insurance industry relies on Verisk to be, and to make
the world, more productive, resilient, and sustainable.
Verisk works in collaboration with our customers and at the
intersection of people, data, and advanced technologies. Through
proprietary platformed analytics, advanced modeling, and
interpretation, we deliver immediate and sustained value to our
customers and through them, to the individuals and societies they
serve, with greater speed, precision, and scale.
We're 9,000 people strong, committed to translating big data into
big ideas. We help others see new possibilities and empower
certainty into big decisions that impact individuals and societies.
And we relentlessly and ethically pursue innovation to help move
our customers, and the world, toward better tomorrows.
Everyone at Verisk-from our chief executive officer to our newest
employee-is guided by The Verisk Way, to Be Remarkable, Add Value,
* Be Remarkable by doing something better each day in service to
our customers and each other
* Add Value by delivering immediate and sustained results that
drive positive outcomes
* Innovate by redefining what's possible, embracing challenges, and
Underwriting Solutions - provides underwriting and rating solutions
for auto and property, general liability, and excess and surplus to
assess and price risk with speed and precision
Claims Solutions - supports end-to-end claims handling with
analytic and automation tools that streamline workflow, improve
claims management, and support better customer experiences
Property Estimating Solutions - offers property estimation software
and tools for professionals in estimating all phases of building
and repair to make day-to-day workflows the most efficient
Extreme Event Solutions - provides risk modeling solutions to help
individuals, businesses, and society become more resilient to
Specialty Business Solutions - provides an integrated suite of
software for full end-to-end management of insurance and
reinsurance business, helping companies manage their businesses
through efficiency, flexibility, and data governance
Marketing Solutions - delivers data and insights to improve the
reach, timing, relevance, and compliance of every consumer
Verisk Maplecroft - provides intelligence on sustainability,
resilience, and ESG, helping people, business, and societies become
At Verisk you can build an exciting career with meaningful work;
create positive and lasting impact on business; and find the
support, coaching, and training you need to advance your career. We
have received the Great Place to Work - Certification for the 7th
consecutive year. We've been recognized by Forbes as a World's Best
Employer and a Best Employer for Women, testaments to our culture
of engagement and the value we place on an inclusive and diverse
workforce. Verisk's Statement on Racial Equity and Diversity
supports our commitment to these values and affecting positive and
lasting change in the communities where we live and work.
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal
opportunity employers. We consider all qualified applicants for
employment without regard to race, religion, color, national
origin, citizenship, sex, gender identity and/or expression, sexual
orientation, veteran's status, age or disability.
Unsolicited resumes sent to Verisk, including unsolicited resumes
sent to a Verisk business mailing address, fax machine or email
address, or directly to Verisk employees, will be considered Verisk
property. Verisk will NOT pay a fee for any placement resulting
from the receipt of an unsolicited resume.
HR CCPA Privacy Notice.pdf
At Verisk, the health and safety of our people is our number one
priority. Effective November 15, 2021, and subject to applicable
law, all prospective hires for office based roles or roles that
support any of our businesses' government contracts will be
required to demonstrate that they are fully vaccinated against
COVID-19 by their start date, or qualify for a legally-required
medical or religious accommodation to this vaccination requirement,
as a condition of employment. Hired candidates who do not
demonstrate that they are fully vaccinated against COVID-19 by
their start date, and who have not been approved for a
legally-required medical or religious accommodation will no longer
meet the requirements for employment and their offers of employment
will be immediately rescinded, in accordance with applicable law.
Create a job alert and receive personalized job recommendations
straight to your inbox.
Keywords: Society for Conservation Biology, Boston , Applied Statistician/ Atmospheric Perils Modeling, Other , Boston, Massachusetts
Didn't find what you're looking for? Search again!