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Entry Level Remote Risk Management Jobs in Worcester, MA

... risk management * Experience with complex financial instruments and strategies, including mutual ... Desire to work in a fast-paced and demanding enviro environment For all virtual remote positions ...

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Entry Level Remote Risk Management information

See Worcester, MA salary details

$43.4K

$103.5K

$167.1K

How much do entry level remote risk management jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level remote risk management in Worcester, MA is $103,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $131,700.00 per year, depending on experience, location, and employer.

What is entry level remote risk management?

Entry level remote risk management jobs are positions that allow individuals to work from home or any location while assisting organizations in identifying, assessing, and mitigating risks. These roles typically involve analyzing data, monitoring compliance, preparing reports, and supporting senior risk managers to ensure the company follows regulations and minimizes potential losses. Entry level positions often require strong analytical skills, attention to detail, and some foundational knowledge of finance, business, or risk assessment. They provide a great starting point for those looking to build a career in risk management while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as an entry level remote risk management professional?

To thrive in Entry Level Remote Risk Management, a solid understanding of risk assessment, analytical thinking, and a bachelor’s degree in finance, business, or a related field are typically required. Familiarity with risk management software, data analysis tools such as Excel, and certifications like Associate in Risk Management (ARM) can be advantageous. Strong communication, attention to detail, and problem-solving abilities help individuals excel when collaborating remotely and interpreting complex data. These skills and qualifications are crucial to accurately identifying potential risks, supporting compliance, and ensuring effective risk mitigation strategies from a remote environment.

What are some typical challenges faced by entry level remote risk management professionals, and how can they be overcome?

Entry-level remote risk management professionals often encounter challenges such as limited direct mentorship, difficulty accessing sensitive data securely, and the need to quickly understand company-specific risk protocols. Building strong communication with team members through regular check-ins and utilizing collaboration tools can help bridge the remote gap. Seeking out online training resources and actively participating in virtual team meetings are effective ways to stay informed and connected, leading to smoother onboarding and more confident decision-making.

What are popular job titles related to Entry Level Remote Risk Management jobs in Worcester, MA?

For Entry Level Remote Risk Management jobs in Worcester, MA, the most frequently searched job titles are:

What cities near Worcester, MA are hiring for Entry Level Remote Risk Management jobs?

Cities near Worcester, MA with the most Entry Level Remote Risk Management job openings:

Infographic showing various Entry Level Remote Risk Management job openings in Worcester, MA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,478 per year, or $49.7 per hour.

Data Scientist (Hybrid Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 9 days ago


Job description

Our Personal Lines team is currently seeking a Data Scientist in our Worcester, MA office on a hybrid arrangement or fully remote work location. This is a full-time, exempt role.

Join a Team Where Data Drives Strategy:

At The Hanover, data science is a key driver of how we understand risk, improve customer experiences, and make smarter business decisions. We're looking for a curious, analytical, and collaborative Data Scientist to join our Personal Lines Analytics team.

In this role, you'll apply advanced analytics, machine learning, and statistical modeling techniques to solve meaningful business challenges across our Personal Lines organization. You'll work alongside business leaders, product managers, actuaries, and data scientists to transform complex data into actionable insights that influence underwriting, pricing, customer experience, and growth strategies.

This is an opportunity to work with large and complex datasets, develop production-ready analytical solutions, and help shape the future of a data-driven insurance organization.

Why Join The Hanover?

  • Work on high-impact analytics projects that directly influence business strategy and outcomes.
  • Partner with experienced data scientists, actuaries, and business leaders across the organization.
  • Access large-scale datasets and real-world business challenges that offer meaningful analytical opportunities.
  • Grow your technical and business skills while developing expertise in predictive analytics and machine learning.
  • Be part of a collaborative team that values innovation, continuous learning, and knowledge sharing.
  • Help modernize how a leading insurance organization uses data to serve customers and manage risk.

 

IN THIS ROLE, YOU WILL:

  • Develop and deploy predictive models, machine learning solutions, and statistical analyses to solve business problems.
  • Explore large datasets to identify patterns, trends, opportunities, and risks that drive business performance.
  • Partner with Personal Lines leaders and cross-functional stakeholders to understand business objectives and translate them into analytic solutions.
  • Design experiments, conduct exploratory analyses, and evaluate model performance to generate actionable insights.
  • Research and apply emerging data science methods, tools, and technologies to enhance business outcomes.
  • Communicate findings and recommendations through compelling visualizations, presentations, and storytelling tailored to technical and non-technical audiences.
  • Collaborate with data engineers and analytics partners to develop scalable, efficient, and sustainable analytical solutions.
  • Contribute to a culture of continuous learning, innovation, and analytical excellence.

 

WHAT YOU NEED TO APPLY:

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Economics, or a related quantitative field.
  • 2-6 years of experience applying data science, machine learning, advanced analytics, or statistical modeling in a business environment.
  • Experience using Python and/or R for data analysis and model development.
  • Strong foundation in statistical analysis, predictive modeling, machine learning, and data mining techniques.
  • Experience working with large datasets and relational databases.
  • Ability to translate business questions into analytical approaches and communicate results effectively.
  • Strong problem-solving skills and intellectual curiosity.

Preferred Qualifications

  • Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Experience building and deploying machine learning models in production environments.
  • Familiarity with cloud-based analytics platforms and modern data science workflows.
  • Insurance, financial services, or other risk-based industry experience.
  • Experience with data visualization and storytelling tools.

This job posting provides cursory examples of some of the job duties associated with this position. The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform.