Senior Quantitative Analyst
Company : Nautilus Insurance Company
Location : Manassas, VA, 20110
Job Type : Part Time
Date Posted : 7 January 2026
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
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 can proactively identify technical requirements to better plan for the future. Their work is done with an emphasis on quality and durability. The Sr. Quantitative Analyst is seen as a go-to resource for a substantial variety of technical tools. The members of 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.
This position encompasses a broad range of responsibilities including:
- 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
Qualifications
Skills/Experience
- Strong proficiency with R, Python, SQL and more tools
- Ability to communicate technical concepts to non-technical audiences
- Cross-functional collaboration
- Proficiency in MS Excel
- Ability to convert data to 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
Education
- Bachelor’s 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. 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.Additional Requirements
• Low-level of domestic U.S. travel is required (up to 5% - 10% of time)Sponsorship Details
Sponsorship not Offered for this RoleRelated Jobs
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Frequently asked questions
Manassas hosts a growing financial and insurance sector, increasing demand for senior quantitative analysts. Candidates with strong programming skills in R and Python often stand out, but competition remains moderate, making it a promising location for experienced professionals seeking to leverage quantitative expertise in insurance analytics.
While no Virginia-specific certifications exist, industry-recognized credentials like CFA or FRM are valued locally, especially within insurance firms like Nautilus. Mastery of data science tools and familiarity with regulatory frameworks in Virginia’s insurance market can also elevate a candidate's attractiveness for senior quantitative roles.
Senior Quantitative Analysts typically lead complex projects, develop predictive models, and present insights to leadership, whereas Junior Quantitative Researchers focus more on data collection and preliminary analysis. The senior role demands strategic thinking, cross-team collaboration, and advanced coding skills to drive impactful business decisions.
Starting as a Quantitative Analyst often leads to roles like Senior Quantitative Analyst, Data Science Manager, or specialized quantitative researcher positions. Progression depends on mastering advanced analytics, leadership capabilities, and the ability to translate complex data into business strategies, especially within sectors like insurance and finance.
At Nautilus Insurance, Senior Quantitative Analysts play a pivotal role by transforming complex datasets into actionable insights that shape operational efficiencies and strategic decisions. Their analyses directly influence underwriting and risk assessment processes, ensuring data-driven growth aligned with the company’s innovative online business model.
Challenges include adapting predictive modeling to insurance-specific risks and navigating cross-department collaboration in a digital-first environment. Balancing quality analytics with rapid delivery aligns with Nautilus’s goal of ‘ridiculously fast, amazingly easy’ service, demanding agility and technical depth from the analyst.
Senior Quantitative Analysts in Manassas typically earn between $110,000 and $140,000 annually, influenced by experience, technical skillset, and company size. Nautilus Insurance offers competitive compensation packages, reflecting the role’s strategic importance and the specialized expertise required in quantitative analytics.
Proficiency in R, Python, and SQL is essential, coupled with strong skills in data visualization and predictive modeling. Additionally, the ability to automate repetitive tasks and communicate complex analyses to non-technical stakeholders enhances collaboration and drives value across Nautilus’s teams.
Manassas offers reasonable commute options with access to major highways and public transit, but traffic peaks may affect daily travel time. Candidates often weigh proximity against the role’s growth potential and remote work flexibility, especially when joining companies like Nautilus that prioritize efficiency and collaboration.
Senior Quantitative Analysts focus deeply on statistical modeling, machine learning, and big data manipulation to influence pricing and risk strategies. Unlike broader analyst roles, they require advanced programming and predictive analytics expertise, making them integral to innovative insurance firms operating in competitive markets like Virginia.