Why this role stands out
This Trader role at Point72 offers a fantastic opportunity to lead a systematic trading process within an established quantitative portfolio management team, allowing you to develop new expertise and directly impact investment strategies. If you have a strong quantitative background and experience in algorithmic trading, you'll thrive in this dynamic environment where you can build relationships with liquidity partners and contribute to best execution. Apply now to join a reputable firm and take your career to the next level.
Quick overview
Job description
Role:
An established quantitative portfolio management team at Point72 is looking for an experienced trader to oversee the team’s trading process, contribute to its core business, and develop new areas of expertise. This is an opportunity for candidates with expertise in systematic trading to take on a leading role on the front lines of the team’s investment process.
Responsibilities:
- Oversight of international equities and macro systematic trading during European hours and provide backup coverage during US morning.
- Execute trades in rates instruments across global OTC markets.
- Build relationships and negotiate trades with liquidity partners to achieve best execution.
- Monitor and support portfolio construction, execution, connectivity, and related processes.
- Help conduct post-trading execution and transaction cost analysis and suggest ways to improve.
- Support the international implementation of internally developed algorithms and help monitor them for any trading issues.
Requirements:
- 2+ years of work experience in algorithmic trading and exposure to systematic macro strategies, ideally with experience in futures, fixed income, FX, and exchange-traded global equities.
- Undergraduate or higher degree in computer science, statistics, applied mathematics, engineering, or other quantitative discipline.
- Familiarity with SQL and Python.
- Familiarity with vendor trading platforms including Tradeweb and Bloomberg.
- Detail-oriented and vigilant about potential operational risks.
- Strong quantitative skills and sensitivity to numbers.
- Commitment to the highest ethical standards.
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