Level

Point72

Trader

AI in this role

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.

How we rate this

Trader at Point72 rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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