USA
Syntax Data /
Full-Time /
Remote
About Syntax Data
Syntax LLC is a financial data and technology company that codifies business models into a relational system we call Affinity Data™. Syntax operates through three segments: Affinity Data™, Syntax Direct™, and Syntax Indices™. Using its patented FIS® technology inspired by systems sciences, the Affinity Data™ segment offers the most comprehensive, granular, and accurate product line revenue data available on the market. The Syntax Direct™ segment then uses this abundance of data to facilitate the near instantaneous creation and ongoing management of boundless direct indexing solutions and rules-based equity portfolios through a fully automated platform. The Syntax Indices™ segment offers customized and proprietary indices, including core global benchmarks and micro- and macro-thematic, smart beta, defined outcome, and target volatility indices. These indices are foundational for a range of financial products, such as ETFs, UITs, and structured products.
About the Role
As ML Engineer you will be responsible for scaling Syntax’s set of classified public and private companies. Using our dataset of company descriptions, you will evaluate NLP algorithms and develop a ML model that will assign our proprietary classification labels to a high degree of accuracy. Working closely with our software engineering team, you will deploy your ML models to the cloud and develop APIs to provide access to the model from other systems. You will also have the opportunity to identify and apply novel applications of machine learning to other business processes.
$110,000 - $160,000 a year