We are looking for a Quantitative Developer to join the Equity Research Technology Team. The 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

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Quantitative Developer - Equity Research Technology