Quantitative Developer, Quantitative Strategies

Millennium

New York (NY)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits
Performance bonus

Job summary

Millennium is seeking a highly skilled Quantitative Developer to enhance its research platform in New York. This hands-on role involves working closely with Senior Portfolio Managers and quantitative researchers on the complete systematic trading stack.

The ideal candidate has strong Python engineering skills and at least 3 years of experience in a trading environment. The position offers a competitive compensation package, including a base salary range of $150,000 to $200,000, plus bonuses and benefits.

Qualifications

  • 3+ years of experience as a quantitative developer, research engineer, or software/data engineer.
  • Experience with systematic trading or financial context.
  • Experience in building or supporting quantitative data infrastructure.

Responsibilities

  • Own and improve the team’s research platform and backtesting framework.
  • Build tooling for efficient signal development and deployment.
  • Design and maintain large-scale datasets and data pipelines.

Skills

Python engineering skills
Performance optimization in Python
Kubernetes
SQL
Linux experience
Data architecture
Analytical skills

Tools

Snowflake
Dask
Ray
Slurm

Job description

Job Description

We are seeking a highly skilled, entrepreneurial Quantitative Developer to join an existing collaborative quantitative trading pod. This is a hands‑on role at the intersection of technology, data, research, and trading, with direct exposure to the Senior Portfolio Manager and quantitative researchers. The role spans the full systematic trading stack, with a particular focus on research infrastructure, data systems, signal deployment, and production monitoring.

Location

New York

Principal Responsibilities
  • Own and continuously improve the team’s research platform, including the backtesting framework, simulation environments, and caching / compute layers.
  • Build and maintain tooling that enables researchers to develop, test, and deploy signals efficiently.
  • Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness.
  • Design, organize, and maintain large‑scale datasets and data pipelines used across research and production.
  • Optimize and support the team’s interfaces with central and external systems, including execution, risk monitoring, and compute / resource management.
  • Help production‑ize and monitor trading signals, ensuring robustness, observability, and operational reliability.
  • Partner closely with researchers and the SPM to translate research needs into scalable engineering solutions.
Preferred Technical Skills
  • Strong Python engineering skills, with the ability to write clean, scalable, production‑quality code.
  • Experience with performance optimization in Python and with parallel / distributed workloads.
  • Familiarity with tools such as Kubernetes, Ray, Dask, Polars, Slurm, or similar distributed compute / orchestration frameworks.
  • Experience with SQL; familiarity with modern data warehouses such as Snowflake is a plus.
  • Strong Linux experience.
  • Solid understanding of system design, design patterns, and data architecture.
  • Excellent communication, analytical, and problem‑solving skills, with the ability to quickly understand and implement complex quantitative workflows.
Preferred Experience
  • 3+ years of experience as a quantitative developer, research engineer, or software / data engineer, ideally in a systematic trading or financial context.
  • Experience building or supporting research platforms, simulation frameworks, or quantitative data infrastructure.
  • Experience creating, organizing, and maintaining custom datasets and production‑grade data pipelines.
  • Experience supporting the deployment, monitoring, and maintenance of live research outputs or trading models.
  • Experience working closely with researchers in a fast‑paced, iterative environment.
Target Start Date

As soon as possible.

Compensation

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000 for 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.

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