Quantitative Developer (Python)

Millennium; New York (NY); On-site; USD 160,000 - 250,000; Full time

Benefits offered by this job

Discretionary performance bonus

Comprehensive benefits package

Job summary

A leading financial firm in New York seeks a Senior Quantitative Developer with over 5 years of Python experience in a finance setting. You will contribute to the development of the alpha research platform and mentor junior team members while working closely with quantitative researchers. The role demands strong analytical and problem-solving skills, along with a familiarity with ML libraries and model evaluation workflows. A total compensation package, including a competitive salary and benefits, is offered.

Qualifications

• 5+ years of Python experience in a quantitative finance setting.
• Familiarity with model evaluation and reporting workflows.
• Experience building alpha research or machine learning pipelines.

Responsibilities

• Help design and contribute to the alpha research platform.
• Support, maintain, and test their own code following best practices.
• Mentor junior resources.
• Interact with quantitative researchers and prioritize features.

Skills

Python

Analytical skills

Strong communication skills

Debugging and tuning data applications

Tools

TensorFlow

PyTorch

Plotly

Altair

C++

Rust

CUDA

Job description

Quantitative Developer (Python) - Central Liquidity Strategies

The Central Execution Book (CEB) is a global effort to optimize the firm’s execution across business lines and asset classes. At a high level the CEB seeks to improve execution quality by reducing market impact and controlling information leakage, but the group’s mandate also includes the deployment of the firm’s risk capital to do so. The above requires solving complex technical and quantitative problems.

We are looking for a highly driven, results-oriented Senior Quantitative Developer to join a dynamic group tasked with developing our next-generation alpha research pipeline, encompassing data ingestion to model evaluation and reporting. We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.

Principal Responsibilities

• Help design and contribute to the alpha research platform
• Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
• Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
• Mentor junior resources
• Regularly interact with quantitative researchers and other stakeholders, and prioritize and implement features

Qualifications / Skills Required

• 5+ years of Python experience in a quantitative finance setting
• Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
• Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
• Prior experience building alpha research or machine learning pipelines
• Highly analytical with strong problem-solving skills and attention to detail
• Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
• Ability to tune and debug runtime performance of data applications
• Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)

The estimated base salary range for this position is $160,000 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.