1

Freelance Probabilistic Risk Analysis Engineer Jobs in Danvers, MA

Conduct quantitative cost and schedule risk analysis. (QCRA / QSRA) * Prepare project and/or ... Bachelor's Degree in Engineering, Construction Management, Economics, Finance or relevant field ...

Conduct quantitative cost and schedule risk analysis. (QCRA / QSRA) * Prepare project and/or ... Bachelor's Degree in Engineering, Construction Management, Economics, Finance or relevant field ...

A Systems Analysis Engineer develops and applies advanced modeling, simulation, and mission ... risk, and operational trade spaces across domains including strategic deterrence, missile defense ...

A Systems Analysis Engineer develops and applies advanced modeling, simulation, and mission ... risk, and operational trade spaces across domains including strategic deterrence, missile defense ...

System Analysis Engineer

Cambridge, MA · On-site

$62K - $156K/yr

... risk management and interface design. • Conducts requirements engineering, scheduling ... • Supports the analyses and allocation of requirements. • Assists in the capture and ...

System Analysis Engineer

Cambridge, MA · On-site +1

$62K - $156K/yr

Assists in strategic technical planning, project management, performance engineering, risk ... Supports the analyses and allocation of requirements. Assists in the capture and translation of ...

Deliver risk attribution analysis and portfolio diagnostics on demand, supporting both pre- and ... Finance, Mathematics, Statistics, Data Science, Computer Science, or Engineering * 3-5 years of ...

Deliver risk attribution analysis and portfolio diagnostics on demand, supporting both pre- and ... Finance, Mathematics, Statistics, Data Science, Computer Science, or Engineering * 3-5 years of ...

next page

Showing results 1-20

Freelance Probabilistic Risk Analysis Engineer information

See Danvers, MA salary details

$15

$50

$139

How much do freelance probabilistic risk analysis engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for freelance probabilistic risk analysis engineer in Danvers, MA is $50.45, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $65.34 per hour, depending on experience, location, and employer.

What cities near Danvers, MA are hiring for Freelance Probabilistic Risk Analysis Engineer jobs?

Cities near Danvers, MA with the most Freelance Probabilistic Risk Analysis Engineer job openings:

Infographic showing various Freelance Probabilistic Risk Analysis Engineer job openings in Danvers, MA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $104,928 per year, or $50.4 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 20 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)