1

Geometric Modeling Jobs in Massachusetts (NOW HIRING)

Geometric Feature Analysis: Analyze native 3D CAD models to identify complex geometric topologies, specific features (such as deep pockets, complex threads, thin walls), and GD&T annotations to ...

Math 1 Tutor

Newton, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Waltham, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Lynn, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Quincy, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Somerville, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Lawrence, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Cambridge, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Geometric Feature Analysis: Analyze native 3D CAD models to identify complex geometric topologies, specific features (such as deep pockets, complex threads, thin walls), and GD&T annotations to ...

Math 1 Tutor

Lowell, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Boston, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Math 1 Tutor

Northampton, MA ยท Remote

$18 - $40/hr

Skilled at breaking down equation solving, linear function graphing, and geometric proof fundamentals. Guides students through modeling with linear and exponential functions, interpreting scatter ...

Showing results 21-40

Geometric Modeling information

What is geometric modeling?

Geometric modeling is the mathematical and computational process of representing the shape and structure of objects in two or three dimensions. This field is widely used in computer-aided design (CAD), computer graphics, animation, engineering, and architecture. Geometric modeling involves creating and manipulating digital models using points, lines, curves, surfaces, and solids, allowing for visualization, simulation, and fabrication of real-world objects. Professionals in this area use specialized software to design complex structures, analyze their properties, and prepare them for manufacturing or virtual rendering.

What are the key skills and qualifications needed to thrive as a geometric modeling specialist?

To thrive as a Geometric Modeling Specialist, you need strong mathematical proficiency, spatial reasoning, and experience with 3D modeling, often supported by a degree in computer science, engineering, or a related field. Familiarity with CAD software, 3D modeling tools (such as Blender, Maya, or SolidWorks), and programming languages like Python or C++ is typically required. Attention to detail, creativity, and effective problem-solving skills are crucial soft skills for this role. These abilities ensure the accurate creation and manipulation of complex models essential for product design, animation, simulation, and engineering applications.

What are some typical challenges faced by geometric modeling professionals in a collaborative project environment?

Geometric modeling professionals often work as part of multidisciplinary teams, collaborating closely with engineers, designers, and software developers. A common challenge is ensuring that complex models meet both aesthetic and functional requirements, while staying compatible with different software platforms used by the team. Clear communication and iterative feedback are essential to resolve discrepancies and maintain model integrity throughout the project lifecycle. Balancing technical accuracy with project deadlines is also a frequent aspect of the role.

What is the difference between Geometric Modeling vs CAD Designer?

AspectGeometric ModelingCAD Designer
CredentialsKnowledge of geometry, CAD software, and 3D modelingSimilar, often requires CAD software proficiency and technical drawing skills
Work EnvironmentDesign studios, engineering firms, manufacturingArchitectural firms, engineering companies, manufacturing
Industry UsageUsed in product design, animation, simulationUsed in drafting, technical drawings, project planning
Search & Comparison IntentFocus on 3D modeling techniques and softwareFocus on technical drafting and design documentation

While both roles involve design and technical skills, Geometric Modeling primarily focuses on creating 3D models and shapes, often for engineering or animation purposes. CAD Designers concentrate on technical drawings and detailed plans used for manufacturing or construction. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Geometric Modeling job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA โ€ข On-site

Full-time

Re-posted 17 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)