Design and develop full-stack software for a global trading operation, integrating data vendors, blockchain infrastructure, and data management solutions.
Locations (2)
London, England, United Kingdom
Chicago, Illinois, United States
Responsibilities
Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
Accelerate the research lifecycle from data engineering to feature generation and analysis
Integrate with diverse data sources such as blockchains, exchanges, and data vendors
Test at the unit, functional, and integration levels
Work within a small team as well as independently with a strong user focus
Requirements
Nice to have: open-source crypto projects
Nice to have: production blockchain node experience
Nice to have: collaboration with quantitative researchers
As a Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team, you will design, build, and operate the backend services that form the foundation of DS&A's data platform.
Design and build end-to-end features for Fairmarkit’s sourcing platform, focusing on backend services, APIs, event-driven systems, and integrations with ERP and procurement suites.
Compensation
The compensation range for this position is $180,000 - $230,000 (including bonus) + equity, and benefits.
Responsibilities
Design and build features end to end, from domain model and API to screen
Own backend data models, service boundaries, event flows, and integrations
Design and develop full stack solutions to enable a global trading operation with high availability requirements, integrating with data vendors, blockchain infrastructure, and data management solutions.
Locations (3)
New York City, New York, United States
Chicago, Illinois, United States
London, England, United Kingdom
Compensation
The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
Accelerate the research lifecycle from data engineering to feature generation and analysis
Integrate with diverse data sources such as blockchains, exchanges, and data vendors
Design, build, and operate the backend services that form the foundation of DS&A's data platform
Build high-stakes infrastructure work for downstream consumers
Think deeply about distributed systems, obsess over reliability and performance
Build platform primitives that other engineers love to build on
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