TrexquantNew York, NYQuantitative Researcher responsible for analyzing execution data, developing market impact and trading cost models, and optimizing execution strategies across equities, futures and other asset classes to minimize transaction costs. Requires 3+ years in electronic execution at a quant trading firm, strong quantitative skills, and Python proficiency.
Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.
Develops volatility trading strategies, builds pricing tools, calibrates implied volatility surfaces, and analyzes large datasets for alpha signals in volatility markets. Requires 5+ years in quantitative research focused on volatility, Python proficiency, and STEM degree.
Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.
Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.
Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.