Point72 Lp

Point72 Lp

Macro Compliance Associate

New York | Stamford | West Palm Beach / Miami

Sponsorship not specified$125k-$175kDetected 9 days ago
CommunicationMentoring

About the role

  • Our team is essential to Point72's success and we provide mentorship, a growth path, and the opportunity for a long-term career with us.
  • For more information, visit https://point72.com/.

Responsibilities

  • Partner with macro portfolio managers and trading teams to embed and enforce practical, real-time compliance controls
  • Support pre-trade and post-trade monitoring programs and investigative processes to detect and resolve trading, market conduct, and policy breaches
  • Conduct complex compliance reviews and investigations, produce concise findings and remediation plans, and manage escalations to senior compliance leaders
  • Manage cross-functional coordination with legal, risk, operations, finance, technology, and third-party vendors to implement and enhance compliance solutions
  • Collaborate with macro management and colleagues across the firm to support oversight and Compliance initiatives
  • Proven ability to lead cross-functional projects and engage senior stakeholders under time pressure
  • Excellent analytical skills, attention to detail, and the ability to operate independently and manage multiple priorities simultaneously in a fast-paced environment
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community

Requirements

  • Juris Doctorate degree from an accredited law school and bar admission
  • When you work here, we provide:

Compensation

  • Conduct new-hire and annual macro-based compliance training for macro teams to translate regulatory and firm requirements into day-to-day practices

Benefits

  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Tuition assistance
  • We invest in our people, their careers, their health, and their well-being.

This listing is sourced directly from Point72 Lp's careers page and normalized into a canonical job model.