Responsibilities

Identify and execute borrow and loan opportunities across various asset classes (equities, fixed income, ETFs) using both manual and automated trading strategies.
Leverage SQL, AI tools to streamline daily tasks, develop analytical tools, and automate data-driven decisions; Go experience preferred.
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 and maintain relationships with borrowers, lenders, custodians, and firm client partners.
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.
Create automated workflow solutions for securities lending trading and operations.
Assist in infrastructure building and business development for tokenized equities financing.

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field.
1–3 years of experience in a technical or trading role, ideally with some exposure to securities lending, short selling, operations or related experience.
Series 7 and 63, or willingness to obtain within 90 days of employment.
Proficient in SQL, Excel VBA, AI automation tools; Go experience preferred.
Strong analytical, quantitative, and problem-solving abilities.
Familiarity with core financial instruments (equities, fixed income, ETFs, cryptocurrency) and general market mechanics.
Excellent collaboration and communication skills to work across teams.
Self-starter: high level of initiative and eagerness to learn about securities lending, product development, advanced trading concepts, and building automated trading strategies.