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.

The Data & Intelligence team at Trumid is seeking candidates for a role at the intersection of data engineering and machine learning. As we work to add intelligence and automation across our trading workflows, constructing reliable, high-quality datasets for training, testing, and running our growing suite of models is a key challenge. While many organizations separate these functions, we believe that a hands-on approach with both the data and the models will allow us to move faster and achieve better long-term results.

We are a team of software engineers, data engineers, data scientists, and quants from a range of backgrounds spanning trading, consumer tech, enterprise software, government agencies, and more. 

About you.

The ideal candidate is a true believer in machine learning, with a strong vision for its potential to transform bond markets. This person understands that successful models are built on a solid data foundation and has the skills and discipline to create that foundation before research and model development begin.

You may be an engineer with experience building large-scale data systems who wants to add machine learning to your toolbelt, or an ML researcher who has built up a data engineering skillset over your years of developing and deploying models. We work primarily remotely across three US time zones and two European countries. 

Qualifications:

• 4+ years of data engineering, software engineering, and/or machine learning experience
• Quantitative educational background
• Track record of working with both technical and business stakeholders to define and build to system requirements
• Proven ability to implement and maintain data ingestion, storage, and processing systems for machine learning use cases
• Knowledge of supervised learning architectures (regression, decision tree, KNN, etc)
• Experience with multiple stages of the ML lifecycle (feature engineering, training, validation, testing, deployment, monitoring)
• Strong background in SQL (cloud data warehouses and relational databases)
• Strong background in Python (scripting, data analysis, ML packages, backend/microservice development)
• Experience with batch data pipelines and ETL orchestration tools

Nice-to-have knowledge and experience:

• Deep learning and neural networks
• Pub/sub (Apache Kafka, GCP Pub/Sub, AWS SNS, or similar)
• Lambda architectures, Kubernetes, Docker
• Graduate degree in computer science, mathematics, engineering, economics, or a related quantitative discipline

Employee benefits.

• Highly competitive compensation
• Fully paid medical, dental and vision coverage
• Team-oriented and collaborative company culture

Trumid is an equal opportunity employer.

In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $150,000 and $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.