# Quantitative Developer, Quantitative Strategies

**Company**: Quant Strategies
**Location**: New York, New York, United States of America
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $150,000 to $200,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mlp.eightfold.ai/careers/job/755956329525?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_93ed5f5a-e8a

## 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.

Key responsibilities include:

- Owning and continuously improving the team's research platform, including the backtesting framework, simulation environments, and caching/compute layers

- Building and maintaining tooling that enables researchers to develop, test, and deploy signals efficiently

- Integrating Agentic AI workflows where they can improve productivity, model development, or operational robustness

- Designing, organizing, and maintaining large-scale datasets and data pipelines used across research and production

- Optimizing and supporting the team's interfaces with central and external systems, including execution, risk monitoring, and compute/resource management

- Helping productionize and monitor trading signals, ensuring robustness, observability, and operational reliability

Preferred technical skills include:

- 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

Preferred experience includes:

- 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

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, which is specific to New York and may change in the future.

## Skills

### Required
- Python
- Kubernetes
- Ray
- Dask
- Polars
- Slurm
- SQL
- Linux
- System design
- Design patterns
- Data architecture

### Nice to have
- Agentic AI
- Snowflake
- Performance optimization
- Parallel/distributed workloads

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Source: [Apply at mlp.eightfold.ai](https://mlp.eightfold.ai/careers/job/755956329525?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)