
Trumid
Remote Jobs
Delivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
6 Jobs
Senior Data Engineer – Real-Time ML, Pricing Platform
TrumidDelivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
• Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink • Define architectural standards for real-time data delivery, reliability, and observability • Ensure production SLAs are met for systems that directly impact pricing and trading workflows • Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting • Mentor engineers on best practices for distributed data systems and production-grade data pipelines • Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed
Senior Data Engineer — Analytics Platform
TrumidDelivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
About Us. Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance. Founded in 2014 by a team of fixed income market experts, Trumid has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 890+ buy-and sell-side institutions transact on Trumid monthly. With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at Trumid. Our business model thrives on participation, and so does our company culture. We rely on every team member’s contribution to help us accomplish our goals. To succeed at Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven. The Opportunity. Trumid is seeking a Senior Data Engineer to join our Data & Intelligence team and build the analytics platform that powers reporting, decision-making, and data delivery across the organization. In this role, you will use dbt to design and implement scalable data models in BigQuery aimed at making complex data digestible for internal and external stakeholders via reports and BI tools as well as agentic AI products within our tech stack. This role focuses primarily on building the data models and datasets that power analytics and reporting, rather than working exclusively on dashboards. As part of the broader data platform team, engineers may occasionally contribute to reporting or visualization work when needed to support stakeholders. You will also help establish best practices for data governance, documentation, testing, and metric definition across the analytics platform. This position is U.S.-based, with remote or hybrid options available. Candidates located in New York City are preferred. The Tech Stack. BigQuery, dbt, Fivetran, SQL-based data modeling, and modern analytics and semantic layer tools. We rely heavily on AI-powered IDEs and agentic workflows for development. What You'll Build. - Curated data models in BigQuery using dbt that define consistent business metrics across Trumid - Data delivery systems that support dashboards, client-facing reporting, compliance datasets, and other external data products - Governed datasets and documentation that enable self-service analytics across the organization Key Responsibilities. - Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights - Develop systems for delivering data to internal stakeholders and external clients - Maintain data governance practices including documentation, lineage, testing, and data quality standards - Optimize query performance and cost efficiency for analytics workloads in BigQuery - Partner closely with product, sales, analytics, and executive stakeholders to translate business requirements into reliable data models - Mentor engineers and analysts on analytics engineering and data modeling best practices - Contribute to the broader data platform, collaborating with engineers building real-time data systems and infrastructure About you. - 5+ years of experience building analytics or data platform infrastructure - Strong expertise in SQL and dbt, including complex transformation logic and data modeling - Experience designing data warehouse models in BigQuery or similar cloud data warehouses - Strong understanding of data modeling patterns in columnar databases - Experience building curated datasets used by analysts and business stakeholders - Experience working with modern data stack tools such as Fivetran or similar ingestion frameworks - Strong communication skills and ability to collaborate with non-technical stakeholders We are hiring for multiple roles and levels on this team. Candidates whose experience aligns more closely with another level may be considered for that role during the interview process. Employee benefits. - Highly competitive compensation - Fully paid medical, dental and vision coverage - Remote work - Team-oriented and collaborative company culture In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200- $250,000. This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. Several factors are considered when determining a candidate’s compensation. Please note that the salary range listed for this position is based on the level of experience outlined in the job description. If a candidate's experience differs from the requirements, the salary may be adjusted accordingly. Trumid is an equal opportunity employer. Please note: All communication from Trumid's recruiting team comes from @trumid.com email addresses. We conduct remote interviews via Zoom only. We will never ask you to purchase equipment, download software (other than Zoom), or share sensitive personal information during the hiring process.
Senior Data Engineer
TrumidDelivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Trumid is seeking a Senior Data Engineer to join our Data & Intelligence team and build the next generation of the real-time data platform that powers Trumid’s pricing algorithms and machine learning systems. - Our pricing infrastructure relies on low-latency, event-driven data pipelines that deliver market and operational data to production algorithms with sub-second latency. - These systems directly support Trumid’s Fair Value Model Pricing (FVMP) and other core data products used across the platform. - This role focuses primarily on real-time streaming infrastructure and distributed data systems that support production algorithms. - Occasional contributions to the batch workloads that the team supports for both research and reporting use cases. - This position is U.S.-based, with remote or hybrid options available. Candidates located in the New York City area are preferred. Qualifications - 5+ years building production data infrastructure or backend systems. - Strong programming skills in Python and SQL. - Experience designing or operating streaming or event-driven data pipelines (Kafka, Flink, or similar systems). - Experience working with distributed systems or real-time data processing. - Experience operating production systems in cloud environments. - Strong understanding of system reliability, monitoring, and failure handling. - Ability to collaborate with engineers, quantitative researchers, and data scientists to deliver reliable data infrastructure. - Enjoy building high-performance distributed systems and operating production infrastructure where latency, reliability, and operational stability are critical. Requirements - Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink. - Define architectural standards for real-time data delivery, reliability, and observability. - Ensure production SLAs are met for systems that directly impact pricing and trading workflows. - Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting. - Mentor engineers on best practices for distributed data systems and production-grade data pipelines. - Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed. Benefits - Highly competitive compensation. - Fully paid medical, dental and vision coverage. - Team-oriented and collaborative company culture. - Flexibility for in-office and work from home arrangements. - In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200,000 - $250,000. - This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. - Several factors are considered when determining a candidate’s compensation. - Please note that the salary range listed for this position is based on the level of experience outlined in the job description. - If a candidate's experience differs from the requirements, the salary may be adjusted accordingly.
Data Engineer
TrumidDelivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Trumid is seeking a Data Engineer to join our Data & Intelligence team and build the next generation of the real-time data platform that powers Trumid’s pricing algorithms and machine learning systems. - Our pricing infrastructure relies on low-latency, event-driven data pipelines that deliver market and operational data to production algorithms with sub-second latency. - These systems directly support Trumid’s Fair Value Model Pricing (FVMP) and other core data products used across the platform. - This role focuses primarily on real-time streaming infrastructure and distributed data systems that support production algorithms. - It will also include occasional contributions to the batch workloads that the team supports for both research and reporting use cases. - This position is U.S.-based, with remote or hybrid options available. Candidates located in the New York City area are preferred. Qualifications - 2–5 years building production data systems or backend infrastructure. - Strong programming skills in Python and SQL. - Experience building or operating streaming or event-driven data pipelines (Kafka, Flink, or similar systems). - Familiarity with distributed systems or real-time data processing architectures. - Experience operating production systems in cloud environments. - Strong problem-solving skills and interest in building reliable data infrastructure. - You enjoy building high-performance data systems, working closely with experienced engineers, and contributing to infrastructure that powers real-time decision-making. Requirements - Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink. - Ensure production SLAs are met for systems that directly impact pricing and trading workflows. - Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting. - Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed. Benefits - Highly competitive compensation. - Fully paid medical, dental and vision coverage. - Team-oriented and collaborative company culture. - Flexibility for in-office and work from home arrangements. - In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $175,000 - $225,000. - This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. - Several factors are considered when determining a candidate’s compensation.
AI Development Intern
TrumidDelivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
About us. Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance. Founded in 2014 by a team of fixed income market experts, Trumid has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 890+ buy-and sell-side institutions transact on Trumid monthly. With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at Trumid. Our business model thrives on participation, and so does our company culture. We rely on every team member’s contribution to help us accomplish our goals. To succeed at Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven. Learn more at www.trumid.com. The opportunity. Are you ready to make a real impact at a fast-paced, innovative fintech company? Trumid, a rapidly growing New York city-based leader in fixed income trading technology, is looking for a driven AI Development Intern to join our team for Summer 2026. This is a paid, 8–10 week internship where you'll work at the intersection of finance and technology, gaining hands-on experience while contributing to our growth. The ideal candidate has the following skills: About you. - Within two years of undergraduate graduation (December 2026 – May 2028 graduation date). - AI-Native. You don't just use AI tools; you think in them. - Intellectually Curious. You go down rabbit holes. You ask "why" until you actually understand. - Resilient & Proactive. When you hit a wall, you try to find a door before asking for help. You don't wait to be told what to do next. - A Norm Challenger. You see a clunky process and immediately start thinking about how to make it better. - An Entrepreneur at Heart. You think about ownership, impact, and scale, not just the task in front of you. - Someone Who Knows Work Can Be Fun. You bring energy and genuine enthusiasm. What You’ll Do. - Build real things with Claude Code. You'll use AI-native development tools to engineer actual features and enhancements. - Come up with ideas and prototype them. Got a spark of an idea? Build a rough version and show us. We love interns who bring concepts nobody asked for but everyone immediately wants. - Learn our AI workflows — then help improve them. Get up to speed on how our team builds with AI today, then tell us what could be better. Your fresh perspective is genuinely valuable. - Be our AI radar. Read new research, follow emerging tools, and share what you find. Found something cool? Tell the team. We want your curiosity, not just your code. - Own a real problem. You'll get pointed at an actual internal workflow and given the space to figure out how AI can make it faster or smarter. Some guidance included, but you'll be driving. Ideal Candidate - Able to work EST hours from New York, or remotely. - Currently pursuing a degree in Computer Science, AI/ML, Data Science, or a related STEM field. - Hands-on experience with Claude Code (Cursor, Codex, or similar). - Basic experience with Python and/or TypeScript; GitHub experience is a plus. - A side project, class project, or anything you built outside of coursework that you can talk about. - Self-sufficient enough to get unstuck on your own before asking for help. Why Trumid? - We are operating at the edge of AI-driven engineering. - Gain experience with cutting-edge fintech technology. - Work in a collaborative, high-energy team. - Develop skills that will help you succeed in the finance and technology sectors. - Benefit from direct mentorship and guidance from experienced marketing and communications professionals. In compliance with New York City Pay Transparency Law, the hourly pay range for this role in New York City is between $30 – $38 per hour. Several factors are considered when determining a candidate’s compensation, including academic standing, relevant experience, and qualifications. Please note that the hourly range listed for this position is based on the level of experience outlined in the job description. If a candidate’s experience differs from the requirements, the hourly rate may be adjusted accordingly. Trumid is an equal opportunity employer. Please note: All communication from Trumid’s recruiting team comes from @trumid.com email addresses. We conduct remote interviews via Zoom only. We will never ask you to purchase equipment, download software (other than Zoom), or share sensitive personal information during the hiring process.
Senior UI Developer
TrumidDelivering a full ecosystem of credit protocols and trading solutions in one easy to-use-platform.
• Build and optimize sophisticated, high-performance frontend applications, delivering clean, testable, and maintainable code. • Tackle complex problems by breaking them down, handling edge cases, and continually improving code quality and efficiency. • Collaborate with the Front End and QA teams, and occasionally with business stakeholders, to deliver high-quality user interfaces that significantly enhance user experience. This role will support our Portfolio Trading team. • Debug effectively using application logs, while considering system-wide performance, scalability, and reliability. • Ability to effectively use AI-assisted development tools to accelerate UI development, improve code quality, and reduce errors while maintaining strong engineering judgment (e.g. Claude code).