Quantitative Developer

Millennium; New York (NY); On-site; USD 165,000 - 250,000; Full time

Job summary

Millennium is seeking a Quant Developer in New York to join a dedicated team focused on quantitative investing. The ideal candidate will possess strong analytical abilities and extensive experience with programming languages such as Python and C++, alongside a solid understanding of financial markets.

This position involves using data to analyze alpha sources, developing quant tools for portfolio managers, and ensuring data quality for strategic investment decisions. The estimated salary range for this role is between $165,000 and $250,000, reflecting the competitive nature of the New York market.

Qualifications

• 3+ years of work experience as a financial engineer, data scientist, or quant developer.
• Strong knowledge of programming languages such as Python and/or C++, Java, C#.
• Experienced in SQL and database management including PL-SQL or T-SQL.

Responsibilities

• Analyze potential alpha sources by utilizing financial and statistical knowledge.
• Develop quant tools to aid portfolio managers in research and risk understanding.
• Design tools to monitor data quality and integrity from various sources.
• Engage with vendors and brokers to analyze datasets.
• Collaborate with portfolio managers to recommend datasets maximizing profitability.

Skills

Python

C++

Java

C#

SQL

Data Pipeline Engineering

ETL

Linux

GitHub

CI/CD

Education

Ph.D. or Masters in computer science, mathematics, statistics

Job description

We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines.

The systematic data group is looking for a Quant Developer to join our growing team. The team consists of content specialists, data scientists, engineers, and quant developers who are responsible for discovering, maintaining, and analyzing sources of alpha for our portfolio managers.

This is an opportunity for individuals who are passionate about quantitative investing. The role builds on an individual’s knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities

• Use finance knowledge and statistical knowledge to analyze potential alpha sources. Present to portfolio managers and quantitative analysts.
• Build quant tools to help portfolio managers research, evaluate, combine alphas, and understand risks.
• Design and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources.
• Engage with vendors, brokers, and perform analytics to understand characteristics of datasets.
• Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability.

Skills Required

• 3+ years of work experience as a financial engineer, data scientist, or quant developer.
• Strong knowledge of Python and/or C++, Java, C#.
• Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow.
• Strong SQL and database experience, including PL-SQL or T-SQL.
• Understanding of typical software development lifecycle and familiarity with Linux, GitHub, and CI/CD.
• Ph.D. or Masters in computer science, mathematics, statistics, or other field requiring quantitative analysis.

Beneficial Skills And Experience

• Understanding of risk models and performance attribution.
• Experience with financial markets such as equities and futures.
• Knowledge of statistical techniques and their usage.

The estimated base salary range for this position is $165,000 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.