Quantitative Developer - Equity Research Technology

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

Job summary

Millennium seeks a knowledgeable Quantitative Developer for their Equity Research Technology Team to develop systems and analytics tools. The role requires proficiency in Python and experience in building data pipelines. You will work collaboratively with various teams to deliver innovative solutions addressing quantitative strategies.

Qualifications

• Strong proficiency in Python for data-oriented processing.
• Experience with Flask, Plotly Dash, and Ag-grid.
• 2+ years of experience as a software engineer, data scientist, or quant developer.

Responsibilities

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

Skills

Python

Web based Python frameworks

Data pipelines

ETL

SQL

Data integrity

Education

Degree in engineering, quantitative finance, computer science, math or equivalent experience

Job description

Quantitative Developer - Equity Research Technology

Join to apply for the Quantitative Developer - Equity Research Technology role at Millennium

Quantitative Developer - Equity Research Technology

Join to apply for the Quantitative Developer - Equity Research Technology role at Millennium

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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Investment Management

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