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Internship Quantitative Risk Modeler Jobs (NOW HIRING)

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

$150 - $200/hr

You'll own models for market risk, volatility and correlation of derivatives, stress testing, and ... of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

Quantitative Risk

Boston, MA · Hybrid

$104K - $180K/yr

Quantitative Risk (State Street Bank And Trust Company; Boston, Massachusetts): This role will be ... Specific duties include: assume a key role in model methodology research, prototyping and ...

$200 - $250/hr

Build quantitative risk models for perpetuals and commodity derivatives, covering margin requirements, position limits, and tail risk across normal and stressed market conditions. * Design and ...

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Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

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Infographic showing various Internship Quantitative Risk Modeler job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Quantitative Risk Analyst -- Derivatives & Clearing

Polymarket International

Manhattan, NY • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Key responsibilities

  • Design, implement, and maintain enterprise-scale risk models covering market risk, margin, and counterparty exposure for a clearing organization

  • Build volatility and correlation models for derivatives, including calibration, backtesting, and ongoing model validation

  • Develop and run stress-testing frameworks: historical scenarios, hypothetical shocks, and reverse stress tests


Job description

About Polymarket

Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.

We're growing fast — both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.

About the Role

Polymarket is hiring a Quantitative Risk Analyst to design and implement enterprise-scale risk models at the heart of our clearing operation. You'll own models for market risk, volatility and correlation of derivatives, stress testing, and automated liquidation — the systems that keep the platform solvent and users protected in fast-moving markets.

This is a hands-on role: you'll be building models in production code, not just specifying them. We expect you to work fluently with AI tools for development and research — and to be the skeptic in the room, pressure-testing AI-generated models and code against well-established risk frameworks before anything ships.

What You'll Do
  • Design, implement, and maintain enterprise-scale risk models covering market risk, margin, and counterparty exposure for a clearing organization
  • Build volatility and correlation models for derivatives, including calibration, backtesting, and ongoing model validation
  • Develop and run stress-testing frameworks: historical scenarios, hypothetical shocks, and reverse stress tests
  • Design and tune auto-liquidation logic — trigger thresholds, liquidation waterfalls, and safeguards against cascading liquidations
  • Use AI tools extensively to accelerate model development, coding, and research — and rigorously validate AI outputs against established risk models before deployment
  • Monitor model performance in production, investigate breaks, and iterate quickly
  • Partner with engineering, trading, and product teams to embed risk controls into platform architecture
  • Document model assumptions, limitations, and validation results to an audit-ready standard
What We're Looking For
  • 5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar
  • Proven expertise designing and implementing risk models at enterprise scale — production systems, not just research prototypes
  • Deep experience modeling volatility, correlation, option skews, and option pricing at scale for trad‑fi derivatives, perpetuals, and fully collateralized event contracts
  • Hands‑on experience with market risk modeling, stress testing, and auto‑liquidation mechanics in a clearing context
  • Strong fluency with AI‑assisted development and coding, paired with the judgment to pressure‑test AI outputs against well‑established risk models and catch what looks plausible but is wrong
  • Expert‑level Python (NumPy, pandas, SciPy; solid software engineering practices)
  • Advanced degree in a quantitative field (math, statistics, physics, financial engineering, CS) or equivalent experience
  • Strong mathematical foundation in stochastic calculus and linear algebra
  • (Plus) C# and/or C++ for performance‑critical or production systems
  • (Plus) Familiarity with crypto market structure, perpetuals, or prediction markets
  • (Plus) Experience with CCP risk frameworks (CPMI‑IOSCO PFMI, default management, margin methodology)
  • (Plus) Experience building real‑time risk systems
Benefits
  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories
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