We are seeking a Quant Researcher to join our Execution team. In this role, you will be directly responsible for compiling and analyzing execution data in several asset classes, working on market impact models and trade cost analysis to minimize transaction costs and enhance performance of company portfolios. You will work closely with teams of traders, researchers, and operations to develop, test, and refine execution strategies that drive continuous improvement of our trading operations.
Responsibilities:
- Manage seamless daily execution of $1bn+ notional across 5k+ equities, global futures, and an expanding list of asset classes
- Develop tools to continuously analyze execution data across various trading instruments
- Manage and update market impact models across all our traded asset classes
- Design trading experiments and present results in order to collaborate with senior research team members
- Implement execution strategies to further improve transaction costs and fill rates
- Work with our Operations team to ensure best execution services provided by brokers
- Develop and implement processes for control, trade support, redundancy and automated prosecution of the trade lifecycle
- Deepen firm execution capabilities through broker relationships, assessments, onboarding, commission management, and trade cost analysis
- Build and lead a team of quantitative execution professionals capable of fine-tuning existing trading flow as well as expansion into new holding periods, countries and asset classes
- Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields
- 3+ years of experience working in an electronic execution role within quantitative trading company
- Strong quantitative skills, detail oriented, and proficiency in Python programming
- Competitive salary, plus bonus based on individual and company performance
- Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
