Quantitative Developer - Equity Research Technology

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

Job summary

A leading financial services firm is seeking a highly skilled Quantitative Developer for its Equity Research Technology Team. In this role, you'll work closely with quantitative researchers and software engineers to develop advanced systems and analytics tools that support quantitative strategies. The ideal candidate will possess strong programming skills in Python, experience with data pipelines, and a background in finance or quantitative disciplines. Join this dynamic team to contribute to innovative solutions in the finance sector.

Qualifications

• Proficient in Python (Pandas/Numpy) for data processing.
• Experience with ETL processes and building data pipelines.
• 2+ years in software engineering, data science, or quant development.

Responsibilities

• Develop and maintain proprietary portfolio analytics dashboard.
• Create reports for benchmarking PMs against indices.
• Deploy and manage data pipelines for large datasets.

Skills

Python

SQL

Data Pipeline

Web Frameworks

Data Analysis

Education

Degree in Engineering

Degree in Quantitative Finance

Degree in Computer Science

Degree in Mathematics

Tools

MS SQL Server

Postgres

Airflow

Flask

CI/CD Tools

Job description

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.