Quantitative Researcher - Pricing Model

Delta Exchange Share Show more options Quantitative Researcher - Pricing Model India · 2 months ago · Over 100 applicants No response insights available yet Remote Full-time Easy Apply Save Save Quantitative Researcher - Pricing Model at Delta Exchange Your profile matches some required qualifications Show match details BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Reactivate Premium: 50% Off People you can reach out to Prakhar and others in your network Show all About the job Role Overview We are looking for a Quantitative Analyst / Researcher to evaluate, test, and enhance our pricing models for plain vanilla perpetual swaps and options across crypto and equity tokens. You will stress-test model assumptions, evaluate risk under extreme market regimes, and build novel models from scratch. This role requires deep expertise in raw volatility pricing, proven model validation experience, and a first-principles approach to translating technical research into production-grade quantitative models. Key Responsibilities Model Development & Optimization Enhance Existing Models: Test, benchmark, and improve current pricing models for plain vanilla perps and options (crypto & equity tokens)Build from Scratch: Design and prototype novel mathematical models for new derivative instruments and tokenized structuresTest Core Assumptions: Deeply audit, challenge, and empirically test underlying model assumptions against live 24/7 market data Model Risk & Validation Validation & Governance: Perform end-to-end model validation, identifying edge cases, structural limitations, and failure pointsRisk & Stress Testing: Evaluate model performance, greeks (delta, gamma, vega), and liquidity exposure under extreme market scenarios and tail-risk events Quantitative Research & Volatility Volatility Analytics: Calibrate and maintain raw volatility pricing, implied volatility surfaces, skew/smile dynamics, and funding rate modelsResearch Implementation: Read, critique, and implement cutting-edge technical/academic research papers to solve complex quantitative problems Requirements Derivatives & Volatility Expertise: Hands-on experience with derivatives pricing (options, perps), raw volatility modeling, and surface calibrationModel Validation Background: Strong track record in model risk, backtesting, and stress testing within quantitative finance or trading environmentsFirst-Principles Mindset: Ability to deconstruct crypto market mechanics from first principles rather than relying strictly on legacy TradFi assumptionsResearch Capability: Ability to quickly digest and code complex formulas from technical research papersTechnical Skills: Advanced proficiency in Python (NumPy, SciPy, Pandas) or C++ for quantitative prototyping and analysisEducation: Master's or Ph.D. in Financial Engineering, Quantitative Finance, Mathematics, Physics, or a related fieldDomain Knowledge: Strong understanding of crypto market microstructure, funding rates, and tokenized equity/RWA assets Benefits What We Offer Collaborative remote work environment that allows you to have a work life balanceGrowth framework that drives fast, continuous improvementOpportunity to learn and collaborate with the leadership teamExciting team offsites and employee engagement activitiesCompetitive compensation and exposure to closely with teams