Research Systems Engineer

This is a hybrid role that blends process leadership, cross‑functional collaboration, and technical contribution. You will work closely with project managers, researchers, and model development teams to embed best practices, improve operational efficiency, and ensure research outcomes are well‑documented, auditable, and scalable.
If you enjoy understanding how work really happens—and making it better—this role offers meaningful impact and room to grow.

Responsibilities:

Drive Research Excellence & Continuous Improvement

• Identify opportunities to improve how research is planned, executed, documented, and delivered
• Coach teams on best practices and support adoption through collaboration—not enforcement
• Facilitate shared learning across teams to reduce duplication and improve consistency
• Help embed a culture of trust, transparency, and measurable outcomes

Partner Across Research & Project Teams

• Serve as a liaison between Research Operations and model development teams
• Hold regular check‑ins with project managers to review progress, tooling usage, and documentation
• Support long‑running research efforts (often multi‑year) by ensuring processes stay aligned from start to finish

Expanded Technical Contribution

In addition to operational leadership, this role offers the opportunity to take on hands‑on technical work, including:

• Designing and building automation solutions to support audits, documentation, or data management
• Contributing to tooling improvements within Research Operations
• Supporting model development teams with scripting, data workflows, or process‑enabling tools
• Helping teams apply version control, reproducibility, and documentation standards

Qualifications:

Education & Experience

• Bachelor’s degree required (Math, Engineering, Science, or related field)
• Master’s degree preferred
• Experience in project management or supporting project‑based work
• Experience contributing to process improvement initiatives

Skills & Mindset

• Curious, self‑directed learner with a genuine interest in how research work happens
• Highly organized, adaptable, and comfortable with evolving requirements
• Clear communicator who can work effectively with different roles and levels
• Comfortable working across disciplines and reconciling competing priorities
• Open to leveraging emerging tools—including generative AI—to improve efficiency and quality while maintaining compliance and rigor

Technical Skills

• Strong working knowledge of Microsoft Office, especially Excel, Word, and PowerPoint
• Proficiency in Python or a similar scripting language
• Experience building automation tools, dashboards, or data pipelines
• Familiarity with version control systems (Git/GitHub preferred)
• Experience with AI‑assisted coding tools is a plus

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 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

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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