LPL Financial

LPL Financial

Analyst, Fixed Income

Tempe

Sponsorship not specified$29k-$49kDetected 1 day ago
ExcelHRResearchCommunicationOrganizational Skills

About the role

  • The Analyst, Fixed Income reviews activity in the trading inventory accounts and works closely with management, senior analysts, Trading Compliance, and other departments to provide regulatory and procedural oversight to the fixed-income trading desk.
  • Assignments are complex and require sophisticated analysis combined with seasoned judgment.
  • The Analyst will operate with wide latitude for making independent decisions, determinations, and recommendations, which typically have significant financial, operational, legal, or reputational impact.

Responsibilities

  • We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
  • Build a career that matches all your initiative with an impressive dose of innovation.
  • And they have the freedom to manage their client relationships, because they know their clients best.
  • Please log in or create an account to apply to this position.

Requirements

  • Bachelor's degree or 2+ years of financial services experience
  • Series 7 & 63 licenses or ability to obtain within 3 months of hire
  • Microsoft Excel knowledge with the ability to improvise solutions integrating Excel spreadsheets with various back-end databases
  • Analytical and organizational skills and the ability to keep track of multiple deadlines and projects
  • Working knowledge of fixed-income products

Compensation

  • Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location.

Company info

  • We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments.

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