Alpaca is an API infrastructure and licensed financial services company that allows developers and businesses to offer stock and crypto investing to their end-customers. We work with more than 100 companies across the globe to enable their investing products, and our mission is to provide financial services to everyone on the planet.

Alpaca’s globally distributed team consists of developers, traders, and brokerage business specialists and backed by a group of well-capitalized investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Y Combinator as well as highly experienced industry angel investors and founders. We are also very tech-enthusiastic with notable track records in open source and startup communities.

Your Role:

• Lead the design and development of advanced data science solutions, contributing to the evolution of Alpaca's data science capabilities.
• Work closely with cross-functional teams, including sales, marketing, product, and operations, to understand and address the data needs that drive strategic decision-making.
• Lead data-intensive applications throughout their lifecycle, including research and POC with subsequent development, deployment, optimization and maintenance.

Qualifications:

• Proven experience in data science at scale, showcasing a deep understanding of data science principles, including statistical methods for supervised and unsupervised learning.
• Proficiency in at least one programming language, and a strong working knowledge of Python and SQL.
• Hands-on experience with data analysis, statistical modeling, and handling high-volume data, metrics, and transactions; strong understanding of the model lifecycle
• Familiarity with cloud-native technologies, data warehousing, ETL processes, and streaming systems.
• Ability to collaborate effectively with cross-functional teams, translating business needs into data science solutions.
• Desire and ability to thrive in a fast-paced environment, with enthusiasm for adapting solutions to meet evolving business needs.
• Previous experience with delivering data science solution in banking or finance is a bonus

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.  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

TECH STACK

Go, Google Cloud, Kubernetes, React, PostgreSQL, RabbitMQ, Redis

ENGINEERING TEAM AND PROCESSES

Our engineering team process is somewhere between scrum and kanban. We do daily standup every morning and manage project progress with JIRA. All the code reviews are done in GitHub and release process is seamlessly built around Google Cloud Build, Google Container Registry, GKE, etc. Everyone is encouraged to review others code and have transparent access to any information to improve products from any aspect.

TECHNICAL CHALLENGES

We have built MarketStore (https://github.com/alpacahq/marketstore) in Go from scratch that is time-series database designed for financial data and made it open source. The challenge in our trading system is that you need to deal with real-time market environment to minimize latency while you need to make sure things work correctly as money management system. The requirements and system architecture are totally different and unique which is very exciting to tackle.