Senior Python Engineer - ML and Data Science
ClickhouseFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should have 4+ years of software engineering experience, with a focus on Python. Strong skills in Python and a compiled language such as C++ or Java are required, along with experience in distributed systems, Docker, databases (relational/NoSQL), and CI/CD. Knowledge of algorithms, data structures, and software design is also necessary. Experience in financial markets or low-latency trading systems, as well as familiarity with GCP, Kubernetes, Apache Spark, and machine learning, are considered nice-to-have skills.
The Senior Software Engineer – Data & AI will design, develop, and maintain real-time, scalable systems for trading and analytics. They will collaborate with cross-functional teams to integrate machine learning models and algorithms into production. This role involves leading the software development lifecycle with a focus on speed, scalability, and security, as well as mentoring junior engineers and contributing to a collaborative engineering culture.
Electronic trading platform for corporate bonds
Trumid Financial LLC specializes in electronic trading of corporate bonds through its platform, Market Center 2.0. This platform connects various credit market participants, allowing them to trade corporate bonds directly and anonymously, which enhances the trading experience. Trumid primarily serves institutional clients like asset managers and hedge funds, providing them with liquidity to buy and sell assets without significantly impacting prices. Unlike many competitors, Trumid's platform is designed to be user-friendly and efficient, addressing the challenges of a market often lacking in liquidity. The company generates revenue through transaction fees on trades and has introduced a data product that offers market insights, further improving the trading experience. Trumid's goal is to enhance market efficiency in corporate bond trading, as evidenced by its significant growth in user trading and market share.