The posting explicitly restricts to 'Remote - Americas' and names the Caribbean-adjacent region. The role is remote with no in-office requirement, no language beyond English is mandated, and the timezone is unrestricted. While Alpaca is US-headquartered and the team spans multiple countries, there is no explicit work authorization requirement stated, and the Americas scope includes the anglophone Caribbean.
“Remote - Americas” Geographic scope — Americas / AMER / Western Hemisphere — includes the anglophone Caribbean.
“Remote - Americas” Geographic scope — Geographic scope is explicitly stated as Americas, which includes the anglophone Caribbean (Jamaica, Trinidad & Tobago, Guyana, Barbados, Bahamas, Belize, OECS).
“We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world” Physical presence — Confirms remote-first culture with no physical presence requirement; distributed team explicitly encouraged to work from favorite places.
“Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.” Work authorization — No explicit work authorization requirement stated; equal opportunity language does not restrict based on location or visa status.
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.
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.
We're looking for a Senior Data Scientist, Product to help shape Alpaca's products through rigorous product analytics, experimentation, and data-informed strategy. You'll be a senior individual contributor embedded with Product, Engineering, and Design—turning ambiguous product questions into clear insight, defining the metrics that matter, and building the experimentation tooling that lets teams decide what we build next. Your work will directly influence the roadmap, improve the developer and end-user experience across our partners, and uncover new growth and monetization opportunities across our 10M+ brokerage accounts.
This role is ideal for someone with a strong product analytics background who thrives cross-functionally, loves experimentation and causal inference, and wants meaningful ownership over how data drives product decisions at a fast-growing, global brokerage-infrastructure company. As we build a more agentic Alpaca, you'll also help make analytics self-serve for the whole company.
Drive product strategy with analytics. Perform deep-dive analyses across the product funnel (onboarding, KYC, funding, trading) to identify growth opportunities and drive improvements in core product and business metrics.
Build the experimentation engine. Design and build the tooling, frameworks, and guardrails that empower teams to run trustworthy A/B experiments and causal-inference studies at scale—standardizing metrics, statistical methods, and self-serve analysis so the whole org can experiment with rigor and velocity.
Enable self-serve and agentic analytics. Help operationalize analytics—transitioning ad-hoc requests into intuitive self-serve environments and contributing to text-to-analytics on top of our semantic layer.
PhD or master's degree in a quantitative field such as mathematics, statistics, engineering, economics, or natural sciences, and at least 6–10 years of experience developing and deploying predictive models.
Straight to the employer's own application — no middleman.
Tell us and we'll mark Alpaca as a company that has actually hired in the Caribbean. It's the most useful thing on this board and it only exists because people report it.
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