Role:- This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks. This role will work with senior technologists on the design and implementation of systems, and work closely with the quantitative research team to enable their mission You will:- Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities Develop software engineering solutions for quantitative research and trading Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team Build and maintain robust data pipelines and databases that ingest and transform large amounts of data Develop processes that validate the integrity of the data Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks) Requirements :- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background Expert in C++ Advanced programming skills in Python Strong Linux-based development Knowledge of machine learning and statistical techniques and related libraries Experience as a quantitative developer supporting an intraday (or faster) system ( 3 years experience at least) Experience with the development practices of large tech (Google/Meta, etc.) or finance firms Experience with financial data Approx. 3-4 years of professional experience in a computer science/computational role Experience working in a technical environment with DevOps functions (Google Cloud, Airflow, Influx DB, Grafana) Apply:- Please send a PDF CV to quants@ekafinance.com