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AlpacaAlpacaUnited States

Securities Finance Trader

Securities Finance Trader responsible for identifying and executing borrow/loan opportunities across equities, fixed income and ETFs using manual and automated strategies. Requires bachelor's in quantitative field, 0-2 years experience, proficiency in Python and SQL, and strong analytical skills.

Salary not listed
RemoteEntry levelOther

About the role

Responsibilities

  • Identify and execute borrow and loan opportunities across various asset classes (equities, fixed income, ETFs) using both manual and automated trading strategies.
  • Leverage Python and SQL to streamline daily tasks, develop analytical tools, and automate data-driven decisions.
  • Collaborate with Product, Engineering, and Operations teams to optimize data pipelines, trading systems, operational efficiency and risk controls.
  • Monitor outstanding loans, recalls, and rates to optimize risk and profitability.
  • Build relationships with borrowers, lenders, custodians, and firm client partners.
  • Develop and perform operational tasks, product improvements, and automation tools for optimizing costs, revenue and workflow.
  • Assess and manage counterparty, credit, and market risk while staying informed of market developments and regulatory changes.
  • Work with existing and new securities lending vendors on product development solutions.
  • Contribute to creating automated workflow solutions for securities lending trading and operations.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field.
  • 0–2 years of experience in a technical or trading role, ideally with some exposure to securities lending, short selling or related experience.
  • Proficient in Python and SQL.
  • Strong analytical, quantitative, and problem-solving abilities.
  • Familiarity with core financial instruments (equities, fixed income, ETFs) and general market mechanics.
  • Excellent collaboration and communication skills to work across teams.
  • High initiative and eagerness to learn about securities lending, product development, and advanced trading concepts.

Benefits

  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Skills

PythonSQLsecurities lendingequitiesfixed incomeetfsRisk ManagementData AnalysisAutomationtrading strategies

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