Securities Finance Trader
- Role
- Finance
- Experience
- Mid
- Company size
- Mid-size
Open to US only · UTC-5…UTC-5. Set where you work from to check your eligibility.
No BS summary
Early-career technical/trading candidate with Python and SQL skills. Needs a quantitative degree and exposure or interest in securities lending, short selling, financial instruments, and market mechanics. Remote US role aligned with North America ET.
Core skills
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
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
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
What you'll do
- Identify and execute borrow and loan opportunities across equities, fixed income, and ETFs using manual and automated trading strategies
- Use Python and SQL to streamline daily tasks, develop analytical tools, and automate data-driven decisions
- Collaborate with Product, Engineering, and Operations 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 client partners
- Develop operational tasks, product improvements, and automation tools for optimizing costs, revenue, and workflow
- Assess and manage counterparty, credit, and market risk while tracking market developments and regulatory changes
- Work with securities lending vendors on product development solutions
- Create automated workflow solutions for securities lending trading and operations
- Identify and execute borrow and loan opportunities across equities, fixed income, and ETFs using manual and automated trading strategies.
- Use 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.
What they require
- 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, short selling, or related experience
- Proficient in Python and SQL
- Strong analytical, quantitative, and problem-solving abilities
- Familiarity with core financial instruments such as equities, fixed income, and ETFs and general market mechanics
- Excellent collaboration and communication skills
- High initiative and eagerness to learn about securities lending, product development, and advanced trading concepts
- 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.
- 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 such as 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 and stock options
- Health benefits
- One-time USD $500 new hire home-office setup
- USD $150 monthly stipend via Brex Card
- Competitive salary and stock options.
- Health benefits.
- New hire home-office setup: one-time USD $500.
- Monthly stipend: USD $150 per month via a Brex Card.
Alpaca is a modern platform for trading. Alpaca's API is the interface for your trading algorithms, bots, or applications to communicate with Alpaca''s brokerage and other services.
What people say about this company
3.6/ 5