Risk Analytics Associate

At Verisk EES (Extreme Event Solutions), we do some cutting edge and advanced analytic stuff!  We build stochastic models to simulate Catastrophic Events that will inform the insurance industry.  Events include Hurricanes, Earthquakes, and Flooding, just to name a few.  We then run Monte Carlo simulations to provide hundreds of thousands of years of simulated events. These help the insurance industry make objective and data driven decisions based on their risk tolerances.  As a company, we have a strong sense of purpose and know we are helping communities worldwide become more resilient.
We’re expanding our capabilities to create synthetic client data using AI, and we’re looking for a mid-level analyst to join this exciting new initiative.

Responsibilities
As a Risk Analytics Associate, you will play a key role in profiling client data, collecting workflow observability metrics, and using these insights to train and deploy models that generate synthetic client data tailored for insurance and catastrophe modeling. This will be done by leveraging various data analysis methods including 3rd party AI tools, with the intent that you become a Data Analytics & AI Subject Matter Expert for the Model Validation Team.
We hire intellectually curious people - if you understand the descriptions above then we are interested in engaging with you.

•    Collaborate with 3rd party vendors to communicate business requirements for building, training, and implementing AI model for synthetic data generation. 
•    Deploy above AI models along with other data analytics tools to profile client data, ensuring a deep understanding of data composition while maintaining strict data security and privacy standards.
•    Collect, process, and analyze workflow observability metrics from production systems for business informed test design.
•    Collaborate with sales, client services, and business stakeholders to define requirements and deliver solutions that meet client and regulatory needs.
•    Document processes, findings, and best practices for future team reference.
•    Communicate results and recommendations clearly to technical and non-technical audiences.

Qualifications
•    Bachelor’s degree in a STEM field (data science, engineering, mathematics, computer science, etc.).
•    2–4 years of experience in data analysis, data engineering, or related roles.
•    Experience with Python, SQL, and data manipulation libraries (Pandas, Tidyverse, etc.).
•    Familiarity with Generative AI tools for use in code development (Claude, GitHub Co-Pilot, Cursor, etc.)
•    Experience working with large datasets and data visualization tools.
•    Strong attention to detail and analytical mindset.
•    Excellent communication and teamwork skills, with a proactive & innovative approach.
•    Willingness to learn new technologies and approaches as the project evolves.
Preferred Qualifications
•    Exposure to cloud platforms (AWS, Azure) and version control (GitHub).
•    Experience with synthetic data frameworks (SDV, YData SDK, Faker, etc.) is a plus.
•    Understanding of data privacy, security, and ethical AI principles.

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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, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, 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 and Best Employer for Women, 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 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 extreme events.

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 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 but is not limited to the following: Health Insurance, a Retirement Plan, 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. Those in eligible roles may receive commission-based pay and / or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

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.

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.