Careers

Hedge-Tech is a leader in the field of financial risk management and financial analytics. We invest heavily in advanced methodologies and analytical platforms to be at the forefront of risk management and support our clients in their toughest decisions. Working with us provides deep intellectual challenges, which is why we believe in investing in our people. We strive to provide a fulfilling work environment with strong professional challenges together with work-life balance.

Work With Us

Latest Positions

Full-Stack Developer

Must have: At least 3 years of experience in node.js/java in a web application environment. At least 3 years experience with React, HTML, CSS, JavaScript, WebSockets 2 years experience and deep understanding of backend architectures, APIs, and communication protocols At least 1 year Docker/Kubernetes experience Advantages: FastApi/express or SpringBoot experience. Experience working in agile environments Experience with TDD Understanding and experience with NoSQL databases Advanced CI/CD and DevOps technologies (defining CI workflows in Jenkins or other CI systems, Kubernetes, Docker Swarm, or alternative) Open-source contributions – strong bonus Advanced CI/CD and DevOps technologies (defining CI workflows in Jenkins or other CI systems, Kubernetes, Docker Swarm, or alternative) Open-source contributions – strong bonus
Backend Analytics Developer

Backend developer for a team working on development of a quantitative engine for analyzing financial data. In particular, the engine includes valuation of many asset classes and derivatives types, portfolio level value distribution and statistics, backtesting, and more. The jobs will include processing of financial data, expansion of current engine capabilities (e.g. adding support for additional asset classes or derivative types), and implementation of new algorithms related to performance and risk measurement and analysis. Must have: At least 5 years experience as a developer. At least 3 years experience with scientific/data related development. At least 1 year experience with python’s scientific stack, e.g. NumPy, Pandas, etc. Undergraduate level knowledge of linear algebra, probability, and statistics. I.e. comfortable working with matrices, knowledge of common probability distributions, and understanding of statistical estimation. Advantages: Familiarity with quantitative finance modeling, e.g. Black-Scholes. Experience with AWS. Experience with distributed computing/big data (Dask, Spark, etc.). Familiarity with AI/ML related modeling and tooling (PyTorch, TensorFlow, etc.). Experience working in agile environments. Experience with TDD. Open-source contributions – strong bonus.