Quantitative Developer - Equity Research Technology

Millennium Management LLC; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

A leading finance firm seeks a skilled Quantitative Developer for its Equity Research Technology Team in New York. This role requires collaboration with various teams to develop innovative solutions that support quantitative strategies. Ideal candidates will have strong Python and SQL skills, and a relevant degree, alongside experience in data processing and analytics.

Qualifications

• 2+ years of experience as Software Engineer, Data Scientist, or Quant Developer.
• Proficiency in data-oriented Python libraries such as Pandas/Numpy.
• Experience in building data pipelines and handling large datasets.

Responsibilities

• Build and maintain proprietary portfolio analytics dashboard application.
• Deploy data pipelines aggregating hundreds of datasets.
• Create reports to benchmark PMs against internal and external indices.

Skills

Python

SQL

Data Processing

ETL

Data Integrity

Education

Degree in Engineering, Quantitative Finance, Computer Science, Math

Tools

MS SQL Server

Postgres

Flask

Airflow

Job description

Quantitative Developer - Equity Research Technology

New York

USD 175,000 - 250,000

Be among the first applicants.

6 days ago

Quantitative Developer - Equity Research Technology

We are seeking a highly skilled and motivated Quantitative Developer to join our Equity Research Technology Team. This team plays a critical role in supporting the firm’s Quantitative Strategies business by developing cutting-edge systems, portfolio analytics, and visualization tools. You will collaborate with quantitative researchers, software engineers, and risk teams to design and implement innovative solutions for both PMs and Senior Management.

Key Responsibilities:

Work with Quant Strategies Management, technology, and risk teams to build and maintain our proprietary portfolio analytics dashboard application

Deploy robust data pipelines aggregating hundreds of datasets into databases, parquet file stores, and memory caches.

Create reports to statistically benchmark PMs with both internal and external indices.

Skills Required:

Strong proficiency in Python (particularly Pandas/Numpy) for data-oriented processing

Experience with Web based Python frameworks such as Flask, Plotly Dash, Ag-grid

Familiarity with building data pipelines, ETL for large datasets, and scheduling tools like Airflow

Strong SQL and database experience, particularly with MS SQL Server and Postgres

Proven experience in cleaning datasets, detecting errors, and identifying potential issues systematically to ensure data integrity and reliability

A degree in engineering, quantitative finance, computer science, math, or equivalent experience

2+ years of work experience as a software engineer, data scientist, or quant developer

Beneficial Skills and Experience:

Familiarity with financial markets in multiple asset classes such as equities and futures

Exposure to risk models and performance attribution

Knowledge of statistical techniques and their usage

Experience in designing and building robust authentication and authorization systems

Understanding of typical software development lifecycle and familiarity with: Linux, Github, CI/CD with Jenkins/TeamCity

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. 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. 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.