Description
A Hedge Fund client of ours is looking for a quantitative developer to join the Equity Research Technology Team. This team is focused on developing systems and portfolio analytics for the firms Quantitative Equities Strategy. You will work on a team with other quantitative developers and software engineers and build portfolio analytics and visualizations for Quant Strategies Management. Key Responsibilities: Work with quant management, technology, and risk teams to build and maintain our proprietary portfolio analytics dashboard application Maintain a robust data pipeline involving databases, parquet file stores, and memory caches. Assist in the development of a centralized quantitative signal database Skills Required: Strong knowledge of Python (particularly Pandas/NumPy) for data-oriented processing Experience with Web based Python frameworks such as Flask, Dash, Ag-grid Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow Strong SQL and database experience, particularly with MS SQL Server and Postgres. Understanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD A degree in quantitative finance, computer science, math, or equivalent experience 3 years of work experience as a financial engineer, data scientist, or quant developer Beneficial Skills and Experience: Understanding of risk models and performance attribution Experience with financial markets such as equities, futures Knowledge of statistical techniques and their usage