... analysis * Use machine learning and time series techniques to derive novel insights on market ... to run simulations and crunch data * Build predictive models for financial markets using a ...
... analysis * Use machine learning and time series techniques to derive novel insights on market ... to run simulations and crunch data * Build predictive models for financial markets using a ...
... analysis * Use machine learning and time series techniques to derive novel insights on market ... to run simulations and crunch data * Build predictive models for financial markets using a ...
... analysis * Use machine learning and time series techniques to derive novel insights on market ... to run simulations and crunch data * Build predictive models for financial markets using a ...
Modeling Simulation Analyst information
See Visalia, CA salary details
$39.6K - $49.4K
6% of jobs
$49.4K - $59.1K
2% of jobs
$59.1K - $68.8K
12% of jobs
$68.8K - $78.5K
4% of jobs
$78.9K is the 25th percentile. Wages below this are outliers.
$78.5K - $88.2K
18% of jobs
$88.2K - $97.9K
3% of jobs
The median wage is $104.1K / yr.
$97.9K - $107.6K
7% of jobs
$107.6K - $117.3K
7% of jobs
$117.3K - $127K
12% of jobs
$129.2K is the 75th percentile. Wages above this are outliers.
$127K - $136.7K
15% of jobs
$136.7K - $146.4K
14% of jobs
$39.6K
$102.9K
$146.4K
How much do modeling simulation analyst jobs pay per year?
As of Aug 10, 2026, the average yearly pay for modeling simulation analyst in Visalia, CA is $102,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,700.00 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?
| Aspect | Modeling Simulation Analyst | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or master's in engineering, computer science, or related fields; proficiency in simulation software | Bachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools |
| Work Environment | Engineering labs, simulation centers, or technical departments | Office settings, data centers, or business environments |
| Employer & Industry Usage | Manufacturing, aerospace, defense, or engineering firms | Finance, healthcare, marketing, or business sectors |
| Common Search & Comparison | Yes | Yes |
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 job categories do people searching Modeling Simulation Analyst jobs in Visalia, CA look for? The top searched job categories for Modeling Simulation Analyst jobs in Visalia, CA are:
What cities near Visalia, CA are hiring for Modeling Simulation Analyst jobs? Cities near Visalia, CA with the most Modeling Simulation Analyst job openings:
Algorithm Development (Quant Research & Trading) Internship - Summer 2027
London, CA
Temporary, Internship
Posted 26 days ago
Job description
We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.
Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. As an intern, you will have the opportunity to rotate between our high- and mid-frequency trading teams, as well as our machine learning teams. In close collaboration with full-time mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies.
Ideal candidates are quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field.
What to Expect
- Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
- Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
- Work on impactful projects in close collaboration with experienced researchers, traders, and developers
- Utilize our world-class compute cluster to run simulations and crunch data
- Build predictive models for financial markets using a combination of market and non-market data
- Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
- Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer
Qualifications
- You are a full-time undergraduate or master's student in a quantitative discipline (math, physics, computer science, statistics, or a related program)
- Experience programming in Python is a must; C++ is desired for those interested in low-latency trading
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- A passion for applying quantitative models and technology toward solving real-world problems
- Strong communication skills
We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.
New York: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD
London: Weekly base salary of 4,350 GBP