{"id":3290309,"url":"https://alion.io/job/delta-exchange-quantitative-researcher-pricing-model","title":"Quantitative Researcher - Pricing Model","company":{"id":175589,"name":"Delta Exchange","domain":"delta.exchange","url":"https://alion.io/company/delta-exchange","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"Volatility","optional":false}],"status":"live","first_seen_at":"2026-10-01T09:25:18Z","employer_posted_date":null,"last_verified_at":"2026-10-01T09:25:18Z","board_verified":false,"closed_at":null,"days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"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. \nKey Responsibilities Model Development & Optimization \nEnhance Existing Models: Test, benchmark, and improve current pricing models for plain vanilla perps and options (crypto & equity tokens). \n\nBuild from Scratch: Design and prototype novel mathematical models for new derivative instruments and tokenized structures. \n\nTest Core Assumptions: Deeply audit, challenge, and empirically test underlying model assumptions against live 24/7 market data. \n\nModel Risk & Validation \nValidation & Governance: Perform end-to-end model validation, identifying edge cases, structural limitations, and failure points. \n\nRisk & Stress Testing: Evaluate model performance, greeks (delta, gamma, vega), and liquidity exposure under extreme market scenarios and tail-risk events. \n\nQuantitative Research & Volatility \nVolatility Analytics: Calibrate and maintain raw volatility pricing, implied volatility surfaces, skew/smile dynamics, and funding rate models. \n\nResearch Implementation: Read, critique, and implement cutting-edge technical/academic research papers to solve complex quantitative problems.\n\nRequirements\nDerivatives & Volatility Expertise: Hands-on experience with derivatives pricing (options, perps), raw volatility modeling, and surface calibration.\n ● Model Validation Background: Strong track record in model risk, backtesting, and stress testing within quantitative finance or trading environments. \n● First-Principles Mindset: Ability to deconstruct crypto market mechanics from first principles rather than relying strictly on legacy TradFi assumptions. \n● Research Capability: Ability to quickly digest and code complex formulas from technical research papers. \n● Technical Skills: Advanced proficiency in Python (NumPy, SciPy, Pandas) or C++ for quantitative prototyping and analysis. ● Education: Master’s or Ph.D. in Financial Engineering, Quantitative Finance, Mathematics, Physics, or a related field. \n● Domain Knowledge: Strong understanding of crypto market microstructure, funding rates, and tokenized equity/RWA assets. \n\nBenefitsWhat We Offer\nCollaborative remote work environment that allows you to have a work life balance. \n● Growth framework that drives fast, continuous improvement \n● Opportunity to learn and collaborate with the leadership team. \n● Exciting team offsites and employee engagement activities. \n● Competitive compensation and exposure to closely with teams. \n\nOriginally posted on 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