Derivatives Engineer

Galaxy•New York, NY

3h•Hybrid

About The Position

Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.

Requirements

Expert on data pipelining and API development.
Knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived.
Experience with working with various backend technologies.
Detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
Experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications.
Familiarity with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes).
Curiosity for learning new technologies and expanding expertise across business lines and technology stacks.
6+ years of professional experience working in software development
Experience with building data pipelines, APIs, and reporting tools
Experience in Financial Technology
Strong knowledge of data structures, their implementations, and optimization techniques
University degree in computer science, physics, engineering, or equivalent programming experience

Nice To Haves

Python, Go, Java
Derivatives Pricing Models (SABR, SVI)
Kafka, AWS SQS, or MQ
Relational and non-relational Databases (Postgres, SQL Server, Databricks)
Time series databases
Spark
FastAPI, Pydantic
Jenkins
AWS
Caching Strategies and Implementations
In-Memory Data Management
Experience with Docker
Experience with LLM Finetuning and RAG Optimization
Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
Experience in quantitative trading

Responsibilities

Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
Work on production support issues and be involved in improvements on CI/CD automation and DevOps.

Benefits

Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace