A Hedge Fund client of ours is looking to hire a few Quantitative Developers 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