Crypto Quant Developer: Risk, Modeling & Pricing

falconx

New York (NY)

On-site

USD 213,000 - 240,000

Full time

14 days+
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Job summary

FalconX is a pioneering firm at the intersection of finance and crypto technology, seeking a core quant developer to design quantitative models that assess market, credit, and operational risks. You will help shape pricing pipelines, conduct data-driven analyses, and collaborate with traders to embed risk-aware strategies across digital asset trading.

Ideal candidates hold an advanced degree in math/finance, are proficient in Python/R/MATLAB, and can communicate clearly while adapting to a

Qualifications

  • Advanced degree in a quantitative field.
  • Strong programming with Python/R/MATLAB.
  • Familiarity with derivatives and risk management frameworks.
  • Analytical problem solving with delivery focus.
  • Excellent communication and collaboration skills.
  • Ability to thrive in fast-paced, agile environments.

Responsibilities

  • Model development: design and implement quantitative models to assess and manage financial risks including market, credit, and operational risks.
  • Pricing and risk pipeline development: assess pricing pipelines and scenario analyses to identify vulnerabilities and mitigation strategies.
  • Data analysis: apply statistical techniques and ML to large datasets to extract insights.
  • Collaboration: work with traders, product managers, and researchers to integrate risk solutions into trading strategies.

Skills

Quantitative modeling
Data analysis
Communication
Adaptability
Collaboration
Problem solving

Education

Master's/PhD in Mathematics/Statistics/Finance or related

Tools

Python
R
MATLAB

Job description

FalconX is a pioneering firm at the intersection of finance and crypto technology, seeking a core quant developer to design quantitative models that assess market, credit, and operational risks. You will help shape pricing pipelines, conduct data-driven analyses, and collaborate with traders to embed risk-aware strategies across digital asset trading.

Ideal candidates hold an advanced degree in math/finance, are proficient in Python/R/MATLAB, and can communicate clearly while adapting to a

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