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Modeling Simulation Analyst Jobs in Weston, CT (NOW HIRING)

Varsity Tutors

Business Analytics Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

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Business Analytics Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

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Business Analytics Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

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Business Analytics Tutor

White Plains, NY · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

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Business Analytics Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

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All JobsModeling Simulation Analyst JobsModeling Simulation Analyst Jobs in Weston, CT

Modeling Simulation Analyst information

See Weston, CT salary details

$44K

$114.4K

$162.6K

How much do modeling simulation analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for modeling simulation analyst in Weston, CT is $114,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $146,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a modeling simulation analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

What cities near Weston, CT are hiring for Modeling Simulation Analyst jobs? Cities near Weston, CT with the most Modeling Simulation Analyst job openings:
Modeling Simulation Analyst jobs near you
Infographic showing various Modeling Simulation Analyst job openings in Weston, CT as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,358 per year, or $55 per hour.

Senior Data Architect (USA)

Trexquant Investment

Stamford, CT • On-site

$175K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 14 days ago

Job description

Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes.
The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting.
Responsibilities
  • Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers.
  • Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows.
  • Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks x values matrices for rapid hypothesis testing.
  • Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs.
  • Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors.
  • Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability.
  • Prototype and deploy internal data applications that enhance research productivity and data transparency.
  • Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems.

Requirements
  • 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment.
  • Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes).
  • Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems).
  • Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies.
  • Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts.
  • Ability to translate research needs into efficient data schemas and access patterns.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • Strong collaboration, communication, and documentation skills.
  • Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus.

Benefits
  • Competitive salary plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment.
  • PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals.

Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.
The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer.

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