> Markdown version of [/jobs/ext/629163-derivatives-engineer](https://www.wearedevelopers.com/jobs/ext/629163-derivatives-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Derivatives Engineer - **Company:** GALAXY, INC. - **Location:** New York, United States - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Unit Testing, Computer Programming, Continuous Integration, Data Structures, DevOps, Python (Programming Language), PostgreSQL, Automation of Marketing, Microsoft Message Queuing, Microsoft SQL Server, NumPy, SciPy, Software Engineering, Software Requirements Analysis, Time Series Databases, Large Language Models, Apache Spark, Caching, Fastapi, Integration Tests, Kubernetes, Information Technology, Optimization Algorithms, Apache Kafka, Non-relational Database, Data Management, Tools for Reporting, Api Design, Data Pipelines, Docker, Service Stack, Jenkins, Databricks, Golang - **Published:** June 24, 2026 - **Apply:** https://www.dice.com/job-detail/6e1157cc-4e11-4d35-893c-373d4b08b197 ## About the Role Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks. As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps. Knowledge of the following is an advantage: * 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, * 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 Bonus Points: * 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 ## Description * 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. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Microservices architecture as a key element in building trading systems for global finance markets](https://www.wearedevelopers.com/videos/1196-microservices-architecture-as-a-key-element-in-building-trading-systems-for-global-finance-markets) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)