CareerPlan

Quant Researcher/Data Scientist - Volatility Alpha Technology

New York, New York, United States of AmericaFull-time$175k–$250k2026-10-06 → 2026-10-21

Core

Conduct quantitative research on market volatility, build systematic options datasets, and develop predictive models for alpha-focused investment processes.

Role type

Quantitative researcher/data scientist (volatility)

Builds

Systematic options datasets, backtesting infrastructure, event volatility models, and live systematic volatility-fitting frameworks

Domain

Financial markets (options, derivatives, volatility)

Deliverable

production ML models

Required skills

Python, R, MATLAB, C++, statistical modeling, machine learning, volatility surface fitting, options pricing, backtesting

Preferred skills

AI-based hypothesis testing, alternative data research, equity/commodities/forex/interest rates markets

Responsibilities

Generate systematic options P&L datasets, develop prototype strategies for alpha, integrate datasets into investment workflows, build quantitative research infrastructure

Seniority

Mid-level, hands-on IC