Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine ... Paid internship (competitive, based on experience and location)
Quick apply
Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine ... Paid internship (competitive, based on experience and location)
Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine ... Paid internship (competitive, based on experience and location)
Quick apply
Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine ... Paid internship (competitive, based on experience and location)
Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine ... Paid internship (competitive, based on experience and location)
Quick apply
Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine ... Paid internship (competitive, based on experience and location)
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
This internship follows an apprentice-style learning model where you'll work alongside an ... Build and test statistical and stochastic models for pricing, forecasting, and risk management
Quantitative Research Intern (PhD)
Chicago, IL · On-site
$80K - $90K/yr
Building stochastic models to determine the fair value of financial derivatives. * Combining ... A highly-competitive internship compensation package * Optiver-covered flights, living ...
Quantitative Research Intern (PhD)
Chicago, IL · On-site
$80K - $90K/yr
Building stochastic models to determine the fair value of financial derivatives. * Combining ... A highly-competitive internship compensation package * Optiver-covered flights, living ...
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
Build and test statistical and stochastic models for pricing, forecasting, and risk management ... Attendance and successful completion of this program may be required to receive an internship offer.
2026 PhD Residency - Non-Linear Physical Dynamics & Device Characterization (Future of Compute)
Mountain View, CA · On-site
$100K - $147K/yr
... e ) Internship Mountain View, CA Project Goal: This is the flagship moonshot for 'The Future of ... Analyze and model how ambient physical noise and stochastic thermal fluctuations can be harnessed ...
2026 PhD Residency - Non-Linear Physical Dynamics & Device Characterization (Future of Compute)
Mountain View, CA · On-site
$100K - $147K/yr
... e ) Internship Mountain View, CA Project Goal: This is the flagship moonshot for 'The Future of ... Analyze and model how ambient physical noise and stochastic thermal fluctuations can be harnessed ...
Be Seen First
Quant Finance Career Coach
New York, NY · Remote
$40 - $50/hr
Stochastic Processes Programming * Python * C++ * SQL * Data Structures * Algorithms Quant Topics ... Factor Models Mock Interviews Conduct realistic mock interviews including: * Technical interviews
Quick apply
Be Seen First
Quant Finance Career Coach
New York, NY · Remote
$40 - $50/hr
Stochastic Processes Programming * Python * C++ * SQL * Data Structures * Algorithms Quant Topics ... Factor Models Mock Interviews Conduct realistic mock interviews including: * Technical interviews
Data Scientist III
Charlottesville, VA · On-site
$98K - $171K/yr
... space models, Kalman filtering, and sequential Monte Carlo methods * Expertise in stochastic ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...
Data Scientist III
Charlottesville, VA · On-site
$98K - $171K/yr
... space models, Kalman filtering, and sequential Monte Carlo methods * Expertise in stochastic ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...
Be Seen First
Quant Finance Career Coach
New York, NY · Remote
$40 - $50/hr
Stochastic Processes Programming * Python * C++ * SQL * Data Structures * Algorithms Quant Topics ... Factor Models Mock Interviews Conduct realistic mock interviews including: * Technical interviews
Quick apply
Be Seen First
Quant Finance Career Coach
New York, NY · Remote
$40 - $50/hr
Stochastic Processes Programming * Python * C++ * SQL * Data Structures * Algorithms Quant Topics ... Factor Models Mock Interviews Conduct realistic mock interviews including: * Technical interviews
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation...
$53K - $72K/yr
Experience with realistic or idealized airway geometry models (e.g., Weibel, stochastic, or CT-derived anatomical models). * Prior industry internship or academic-industry collaborative research ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation...
$53K - $72K/yr
Experience with realistic or idealized airway geometry models (e.g., Weibel, stochastic, or CT-derived anatomical models). * Prior industry internship or academic-industry collaborative research ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation &
Boston, MA · On-site
$53K - $72K/yr
Experience with realistic or idealized airway geometry models (e.g., Weibel, stochastic, or CT-derived anatomical models). * Prior industry internship or academic-industry collaborative research ...
Post-Doctoral Scientist - Delivery, Devices & Connected Solutions (DDCS) Inhaled Drug Formulation &
Boston, MA · On-site
$53K - $72K/yr
Experience with realistic or idealized airway geometry models (e.g., Weibel, stochastic, or CT-derived anatomical models). * Prior industry internship or academic-industry collaborative research ...
Analyst/Associate - Equity Derivatives Quant/Trader
Manhattan, NY · On-site
$100K - $150K/yr
... and stochastic processes. * Deep understanding of options pricing models, Greeks, volatility ... Prior internship or full-time experience in a trading or quantitative research role. Full Time ...
Analyst/Associate - Equity Derivatives Quant/Trader
Manhattan, NY · On-site
$100K - $150K/yr
... and stochastic processes. * Deep understanding of options pricing models, Greeks, volatility ... Prior internship or full-time experience in a trading or quantitative research role. Full Time ...
Analyst/Associate - Equity Derivatives Quant/Trader
$100K - $150K/yr
... and stochastic processes. * Deep understanding of options pricing models, Greeks, volatility ... Prior internship or fulltime experience in a trading or quantitative research role. Full Time ...
Analyst/Associate - Equity Derivatives Quant/Trader
$100K - $150K/yr
... and stochastic processes. * Deep understanding of options pricing models, Greeks, volatility ... Prior internship or fulltime experience in a trading or quantitative research role. Full Time ...
Internship Stochastic Modeling information
See salary details
$9.13 - $10.47
2% of jobs
$10.47 - $11.80
2% of jobs
$11.80 - $13.13
3% of jobs
$13.13 - $14.47
17% of jobs
$14.55 is the 25th percentile. Wages below this are outliers.
$14.47 - $15.80
18% of jobs
The median wage is $16.51 / hr.
$15.80 - $17.13
16% of jobs
$17.13 - $18.47
11% of jobs
$18.89 is the 75th percentile. Wages above this are outliers.
$18.47 - $19.80
20% of jobs
$19.80 - $21.13
6% of jobs
$21.13 - $22.47
3% of jobs
$22.47 - $23.80
2% of jobs
$9
$17
$23
How much do internship stochastic modeling jobs pay per hour?
As of Jul 23, 2026, the average hourly pay for internship stochastic modeling in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.
What types of projects and daily tasks can I expect during an internship in stochastic modeling?
As an intern in stochastic modeling, you will typically work on projects involving data analysis, model development, and simulation of random processes. Your daily tasks may include cleaning and organizing datasets, implementing mathematical models using programming languages like Python or R, and running simulations to test hypotheses. You will likely collaborate with senior modelers and data scientists, participate in team meetings, and may also present your findings. This role offers exposure to real-world applications in industries such as finance, insurance, or engineering, helping you develop both technical and communication skills.
What is the difference between Internship Stochastic Modeling vs Data Analyst?
| Aspect | Internship Stochastic Modeling | Data Analyst |
|---|---|---|
| Required Credentials | Relevant coursework, basic programming skills | Bachelor's in statistics, data science, or related field |
| Work Environment | Internship setting, research-focused, financial or tech industries | Office environment, various industries including finance, marketing, healthcare |
| Employer & Industry Usage | Financial firms, tech companies, research institutions | Corporations, consulting firms, government agencies |
Internship Stochastic Modeling typically involves applying probability and statistical techniques to model uncertainty, often in finance or research settings. Data Analysts focus on interpreting data, creating reports, and supporting decision-making across diverse industries. While both roles require analytical skills, stochastic modeling internships emphasize mathematical modeling, whereas data analyst roles focus on data manipulation and visualization.
What are Internship Stochastic Modeling positions?
Internship Stochastic Modeling positions are temporary roles designed for students or recent graduates to gain practical experience in applying stochastic processes and mathematical modeling techniques. Interns typically work under the guidance of experienced professionals in fields such as finance, insurance, engineering, or data science. They assist with analyzing data, developing models that incorporate randomness or uncertainty, and supporting decision-making processes. These internships provide valuable hands-on experience and help interns build skills in programming, statistical analysis, and problem-solving relevant to stochastic modeling careers.
What are the key skills and qualifications needed to thrive as an Internship Stochastic Modeling, and why are they important?
To thrive in a Stochastic Modeling Internship, you need a solid background in probability, statistics, and mathematics, often supported by coursework or a degree in a quantitative field. Familiarity with programming languages such as Python, R, or MATLAB, and experience using statistical modeling software are typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and explaining complex concepts. These abilities ensure you can develop accurate models, collaborate with teams, and contribute valuable insights to data-driven decision-making processes.
More about Internship Stochastic Modeling jobs
What cities are hiring for Internship Stochastic Modeling jobs? Cities with the most Internship Stochastic Modeling job openings:
What are the most commonly searched types of Stochastic Modeling jobs? The most popular types of Stochastic Modeling jobs are:
What states have the most Internship Stochastic Modeling jobs? States with the most job openings for Internship Stochastic Modeling jobs include:
What job categories do people searching Internship Stochastic Modeling jobs look for? The top searched job categories for Internship Stochastic Modeling jobs are:
Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics
Cambridge, MA • On-site
Full-time
Posted 16 days ago
Job description
Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)
Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
- Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches
- Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk
- Design and implement analytical tools and pipelines using Python and SQL
- Contribute to model validation, backtesting, and performance evaluation
- Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure
- Communicate complex quantitative insights through clear visualizations and technical summaries
- Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics
Required Qualifications
- Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)
- Strong foundation in probability, statistics, and numerical methods
- Proficiency in Python (NumPy, pandas, or similar) and/or SQL
- Experience working with large datasets and implementing quantitative models
- Ability to think rigorously about complex systems and translate theory into practical solutions
Preferred Qualifications
- Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)
- Experience with scientific computing, optimization, or machine learning
- Background or research in cross-disciplinary areas such as:
- Statistical physics, complex systems, or network theory
- Applied or computational mathematics
- Machine learning or probabilistic modeling
- Quantum computing or advanced optimization techniques
- Topological data analysis or geometric data methods
- Prior research, publications, or project work demonstrating advanced quantitative modeling
What You’ll Gain
- Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics
- Opportunity to apply cutting-edge academic methods in a production environment
- Collaboration with a highly quantitative, cross-disciplinary team
- Experience working with large-scale financial data and modern analytics infrastructure
- Mentorship and potential pathway to full-time quantitative roles
Duration & Compensation
- Internship: Summer 2026, with potential to extend
- Paid internship (competitive, based on experience and location)