Quantitative Researcher - Pricing Model
Delta Exchange is a cryptocurrency derivatives exchange offering futures, options, and leveraged trading.
Maintainer signals as of 8/23/2026
Funding history
Investors
About Delta Exchange
Delta Exchange is a derivatives trading platform that offers features like futures, options, and leveraged trading for virtual digital assets. It provides a referral program where users can earn a commission on the trading fees paid by their invited friends. The platform is operated by Excelium Technologies Private Limited, a FIU (Govt. of India) registered entity.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will evaluate, test, and improve pricing models for plain vanilla perpetual swaps and options across crypto and equity tokens. You will develop novel mathematical models, audit model assumptions against live market data, perform model validation, and assess risks under extreme market scenarios. You will calibrate volatility surfaces and funding rate models, implement research from technical papers, and use Python or C++ with quantitative libraries for prototyping and analysis.
Requirements
- Hands-on experience with derivatives pricing including options and perpetual swaps
- Experience with raw volatility modeling and surface calibration
- Model risk validation backtesting and stress testing experience in quantitative finance or trading
- Ability to analyze crypto market mechanics from first principles
- Ability to understand and code complex formulas from technical research papers
- Advanced proficiency in Python with NumPy SciPy and Pandas or in C++
- Master’s or Ph.D. in financial engineering quantitative finance mathematics physics or a related field
- Strong understanding of crypto market microstructure funding rates and tokenized equity or real world assets
Responsibilities
- Test benchmark and improve pricing models for perpetual swaps and options
- Design and prototype mathematical models for derivative instruments and tokenized structures
- Audit and empirically test model assumptions against live market data
- Perform end to end model validation and identify edge cases and failure points
- Evaluate model performance Greeks and liquidity exposure under extreme market scenarios
- Calibrate raw volatility pricing implied volatility surfaces skew and smile dynamics and funding rate models
- Read critique and implement technical and academic research papers
- Prototype and analyze quantitative models using Python or C++
Benefits
- Remote work
- Work life balance
- Team offsites
- Employee engagement activities
