Description
We are seeking a Quantitative Trader to join our Central Liquidity Strategies team. As a Quantitative Trader, you will lead a wide range of projects involving the design and implementation of strategies to reduce trading costs for delta-one and factor products. You will also monitor and manage risks within company guidelines and risk parameters, including operational, portfolio, financing, and basis risk.
Responsibilities:
- Lead a wide range of projects involving the design and implementation of strategies to reduce trading costs for delta-one and factor products.
- Monitor and manage risks within company guidelines and risk parameters, including operational, portfolio, financing, and basis risk.
- Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.
Qualifications:
- 6+ years in a trading or execution role.
- Bachelor's degree in Mathematics, Physics, Finance, Economics, Econometrics, Financial Engineering, Operations Research, or similar.
- Experience with factor modeling, transaction cost analysis (TCA) models, statistical modeling, and portfolio analytics.
- Strong operational and event risk management skills; experience managing systematic strategies; familiarity with equity markets/asset classes.
- Familiarity with ETFs, futures, swaps, and vanilla derivatives is a plus (and can be learned on the desk).
- Self-sufficient programming ability in Python and/or kdb+ for analysis and research, plus Git, Unix/Linux, Bash, etc.
- Strong communication skills and the ability to work effectively in a team environment.
The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://mlp.eightfold.ai/careers/job/755942806171