Senior Model Validation Analyst

Verisk; Boston (MA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health Insurance

Retirement Plan

Disability benefits

Paid Time Off

Job summary

Verisk is seeking a Senior Model Validation Analyst to independently evaluate scientific, engineering, and financial model components, turning complex data into evidence of accuracy and reliability. You will lead validation strategies and expand test coverage, communicating findings to technical and non-technical stakeholders across cross-functional teams.

You will document methods in Jupyter Notebook or R Markdown, collaborate in Agile Scrum, and contribute to automated testing within the

Qualifications

• Undergraduate/graduate STEM degree and a graduate degree with 4+ years of experience.
• Proficient in Python or R and SQL; experience with GIS and data libraries.
• Experience analyzing large data sets and validating probabilistic models.
• Strong communication and cross-functional collaboration.

Responsibilities

• Lead design and execution of test plans for natural catastrophe model components.
• Validate algorithms against sources and validation principles.
• Analyze large datasets and run advanced statistical analyses.
• Create transparent documentation in Jupyter Notebook or R Markdown.
• Communicate results, risks, and recommendations to stakeholders.
• Collaborate in cross-functional Agile Scrum teams and expand automated testing.

Skills

Python

R

SQL

GIS

Pandas

Tidyverse

Data analysis

Communication

AWS

Education

STEM degree (undergrad or grad)

Tools

Jupyter Notebook

R Markdown

AWS

Job description

Job Description

Bring your analytical curiosity and commitment to quality to a role where your work will help strengthen the natural catastrophe models organizations rely on to understand and manage complex risk. As a Senior Model Validation Analyst, you will independently evaluate sophisticated scientific, engineering, and financial model components, turning complex data into clear evidence that models are accurate, reliable, and ready to support critical decisions. Working closely with scientists, structural engineers, software professionals, and other cross-functional partners, you will shape thoughtful validation strategies, develop creative ways to expand test coverage, and communicate findings that influence model quality across the organization. This is an opportunity to combine advanced analytics, technical problem-solving, and collaborative leadership in a highly visible role.

Responsibilities

• You will lead the design and execution of comprehensive test plans from requirements, ensuring robust quality assurance coverage across complex natural catastrophe model components.
• You will independently validate scientific, engineering, and financial algorithms against original sources and established validation principles to support model accuracy and reliability.
• You will independently analyze and manipulate medium-to-large data sets, run advanced statistical analyses, and interpret results to identify trends, anomalies, and actionable insights.
• You will independently create transparent, reproducible technical documentation in Python's Jupyter Notebook or R Markdown, capturing validation methods, evidence, findings, and conclusions.
• You will communicate validation results, risks, and recommendations clearly to technical and non-technical stakeholders through written reports and presentations.
• You will collaborate within cross-functional Agile Scrum teams, manage concurrent validation priorities, and support the expansion of automated testing throughout the software development life cycle.

Qualifications

• Candidates must have an undergraduate/graduate degree in STEM related areas (data science, engineering, science, mathematics, finance, economics) as well as a graduate degree and 4+ years relevant work experience.
• Candidates must have experience in analytical programming, fluency in languages like Python or R, DB experience such as SQL, knowledge of GIS tools, libraries like Pandas, Tidyverse, Data frames and Claude Code.
• Candidates must have experience working with large data sets performing analysis and manipulation.
• Experience with designing and/or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc.
• Candidates must have excellent attention to detail and experience with deriving actionable insights from data.
• Candidate must have excellent communication skills to interface with cross-functional teams.
• Prior experience with AWS ecosystem and technology stack is preferable.

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

• 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 and Restoration 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
• 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
• Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
• Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
• Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
• Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

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. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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