Offer summary

Qualifications:

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 exposure to securities lending or short selling., Proficient in Python and SQL with strong analytical and problem-solving abilities., Familiarity with core financial instruments and excellent collaboration skills..

Key responsabilities:

Identify and execute borrow and loan opportunities across various asset classes using trading strategies.

Leverage Python and SQL to streamline tasks and develop analytical tools.

Collaborate with teams to optimize data pipelines and trading systems.

Monitor loans and manage risks while building relationships with key stakeholders.

Job description

Who We Are:

Alpaca is a US California headquartered brokerage infrastructure technology company and self-clearing broker-dealer, delivering execution and custody solutions for Stocks, ETFs, Options, Cryptocurrencies, and more, and has raised over $170 million in funding. Amongst our subsidiaries, Alpaca is a licensed financial services company in multiple countries, and we serve hundreds of financial institutions globally such as broker-dealers, investment advisors, hedge funds, and crypto exchanges.

Alpaca’s globally distributed team members bring in diverse experiences such as engineers, traders, and brokerage professionals to achieve our Mission of opening financial services to everyone on the planet. We are also deeply committed to open-source contributions and fostering a vibrant community. We will continue to enhance and improve our award-winning developer-friendly API and the infrastructure behind it.

Our Team Members:

We’re a team of 150+ globally distributed members who love working from our favorite places worldwide. Our team spans the USA, Canada, Japan, Hungary, Nigeria, Brazil, the United Kingdom, and more!

We’re looking for candidates eager to join Alpaca’s growing organization, who are excited about our Mission of “Open financial services to everyone on the planet and share our Values of “Stay Curious,” “Have Empathy,” and “Be Accountable.”

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.
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
Benefits: Health benefits start on day 1. In the US this includes Medical, Dental, Vision. In Canada, this includes supplemental health care. In Japan, you are offered local benefits. Internationally, this includes a stipend value to offset medical costs.
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Work with awesome hard working people, super smart and cool clients and innovative partners from around the world

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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