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BerkleyNet (a Berkley Company)

Quantitative Analyst

BerkleyNet (a Berkley Company), Manassas Park

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Company Details

Company Details
BerkleyNet is an innovative workers compensation insurance provider that does all our business online. Our Goal? To make doing business Ridiculously Fast. Amazingly Easy.
Responsibilities
As a Quantitative Analyst, you will solve business problems with data. With the combination of savvy business insight and extensive data analysis, youll draw insights, identify trends, and visualize data to make a powerful impact on our business. In this dynamic role, youll have the opportunity to bring your analytical skills to every aspect of the organization. The people on the Data Analytics team set each other up for success. We take ownership of our work, seek out challenging and engaging projects, share knowledge, have strong work ethics, and never stop learning.
As a Quantitative Analyst, you will fulfill the primary responsibilities of the role by completing the following:

  • Creating operating efficiencies: Seek out opportunities within the business to improve processes using data
  • 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
Skills/Experience
Qualifications
  • Familiarity with R, Python and/or SQL
  • Ability to communicate technical concepts to non-technical audiences
  • Cross-functional collaboration
  • Ability to convert data to actionable insights
  • Comfort working with and organizing large data sets
Education
  • Bachelors degree in Business Analytics, Mathematics, Statistics, Computer Science, Finance, or related degree
  • Preferably has programming experience
Travel Requirements
  • A low-level of domestic U.S. travel (approximately 5% - 10% of time) is required
Additional Company Details
The Company is an equal employment opportunity employer.
Additional Company Details
The Company is an equal employment opportunity employer.
We do not accept any unsolicited resumes from external recruiting firms.
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 actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Sponsorship Details
Sponsorship not Offered for this Role
Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Financial Services and Insurance

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