What are the responsibilities and job description for the Quantitative Researcher/Trader position at Selby Jennings?
We are partnered with the Head of Quantitative Research at a global fintech company that has a greenfield initiative to build out a D1 trading franchise. While the firm is well regarded and has a ton of market share, this particular build out has been happening behind the scenes for the last 2 years. The head of the team has already put together a close-knit group of industry veterans, comprised of both sell-side and buy-side quants. They are looking for an experienced Quant Researcher/Trader to join their North America business to build and implement robust market making and trading algorithms offering a new PnL generating stream for their global fintech operation.
Key Responsibilities -
--Build and implement trading algorithms and pricing models across the D1 universe
--Conduct factor modeling and statistical analysis to diagnose model failures and improve forecasting accuracy.
--Develop and maintain stochastic models, pricing frameworks, particle filters, and auction pricing algorithms.
--Be the thought leader across systematic market-making initiatives, including improvements to trading models and portfolio optimization
Professional Background
--Experience from a market making desk, prop trading group, or hedge fund strongly preferred. Candidates from banks are acceptable if they algorithmic trading exposure.
--In-depth understanding of Delta One products and their real-world trading behavior.
--Strong academic background in engineering, applied mathematics, physics, or related technical fields.
--Someone who thrives in a small, elite team and wants meaningful ownership.
--Ideally 5 years of experience
Key Responsibilities -
--Build and implement trading algorithms and pricing models across the D1 universe
--Conduct factor modeling and statistical analysis to diagnose model failures and improve forecasting accuracy.
--Develop and maintain stochastic models, pricing frameworks, particle filters, and auction pricing algorithms.
--Be the thought leader across systematic market-making initiatives, including improvements to trading models and portfolio optimization
Professional Background
--Experience from a market making desk, prop trading group, or hedge fund strongly preferred. Candidates from banks are acceptable if they algorithmic trading exposure.
--In-depth understanding of Delta One products and their real-world trading behavior.
--Strong academic background in engineering, applied mathematics, physics, or related technical fields.
--Someone who thrives in a small, elite team and wants meaningful ownership.
--Ideally 5 years of experience