Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics, or a similar quantitative field.
1-5 years of experience in a technical or trading role, with some exposure to securities lending or short selling.
Proficient in Python and SQL.
Strong analytical, quantitative, and problem-solving skills.
Familiar with core financial instruments like equities, fixed income, and ETFs.
Excellent collaboration and communication skills.
High initiative and willingness to learn about securities lending and trading concepts.
Responsibilities
Identify and execute borrowing and loan opportunities across asset classes using manual and automated trading strategies.
Leverage Python and SQL to streamline tasks and develop analytical tools.
Collaborate with cross-functional teams to optimize trading systems and risk controls.
Monitor loans, recalls, and rates to enhance risk management and profitability.
Build relationships with borrowers, lenders, and custodians.
Develop operational tasks and automation tools for workflow optimization.
Assess counterparty and market risk while remaining aware of market developments.
Benefits
Competitive Salary & Stock Options
Health Benefits
One-time USD $500 for New Hire Home-Office Setup
Monthly Stipend of USD $150 via Brex Card
Full Job Description
Your Role:
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.
Who You Are (Must-Haves):
Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field.
1-5 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.
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.
Who You Are (Must-Haves):
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.
How We Take Care of You:
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
