Senior Quantitative Analyst

Senior Quantitative Analyst

Senior Quantitative Analyst at Berkley Net (a Berkley Company).

Berkley Net is an innovative workers compensation insurance provider that does all our business online. Our Goal? To make doing business “Ridiculously Fast. Amazingly Easy.”

The Sr. Quantitative Analyst leads projects that solve business problems with data. With the combination of savvy business insight and extensive data analysis, they’re able to draw insights, identify trends, and visualize data to make a powerful impact on the company. This role proactively identifies technical requirements to better plan for the future, working with an emphasis on quality and durability.

The Sr. Quantitative Analyst is a go‑to resource for a substantial variety of technical tools. The Data Analytics team shares knowledge and fosters a culture of ownership, challenge, and continuous learning.

• Creating operating efficiencies:
  Seek out opportunities within the business to improve processes
• Visualizing data:
  Illustrate events and trends using graphs and other visualizations
• Quantitative analysis:
  Bring structure to challenging datasets to provide clear conclusions
• Predictive modeling:
  Leverage machine learning to capture insight invisible to the human eye
• Automation through code:
  Program away tedious, repetitive tasks to make the most of the day
• Working with other teams:
  Meet with other departments to engage in cross-departmental projects
• Presenting findings to company leadership:
  Communicate the conclusions of analysis to guide strategic decisions

• Strong proficiency with R, Python, SQL, and additional tools
• Ability to communicate technical concepts to non-technical audiences
• Cross-functional collaboration experience
• Proficiency in MS Excel
• Ability to convert data into actionable insights
• Evaluation of technical requirements given a concept
• Comfort working with and organizing large data sets
• Ability to plan, lead and execute substantial projects at a high and low level

• Bachelor’s degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or related field
• Programming experience is preferred

• Low-level domestic U.S. travel (approximately 5% - 10% of time)

The company offers a competitive compensation plan and robust benefits package for full‑time regular employees. Base salary & benefits include health, dental, vision, life, disability, wellness, paid time off, 401(k) and profit‑sharing plans.

The Company is an equal employment opportunity employer.

We do not accept unsolicited resumes from external recruiting firms.

Sponsorship not offered for this role.