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Quantitative Developer (KDB & Python) - Central Liquidity Strategies

at Millennium

Back to all Python jobs
Millennium logo
Hedge Funds

Quantitative Developer (KDB & Python) - Central Liquidity Strategies

at Millennium

Mid LevelNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
$160,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Join a new, dynamic Quantitative Development team tasked with building the next-generation quantitative research platform. Based in New York, you will own end-to-end development across live and historical datasets, ML models, and supporting infrastructure. You will deliver quickly and iteratively while following best engineering practices, including unit testing and CI/CD. You will collaborate across the business to shape the platform’s direction and architecture, with much of the senior team in Dublin.

Quantitative Developer (KDB & Python) - Central Liquidity Strategies

We are seeking a highly driven, results-oriented Quantitative Developer to join a new and dynamic group tasked with developing our next-generation quantitative research platform. Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely. The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

  • Impactful individual contributor: Contribute to a wide range of projects and deliver quickly and iteratively.
  • Best engineering practices: Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
  • Subject-matter expertise across the stack: Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
  • Collaboration: Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

  • Experience: 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
  • Education: Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
  • Technical skills: Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
  • Communication: Strong communication skills and the ability to work effectively in a team environment.
  • Nice to have: Experience with kdb+, PyKX, C++, cash equities, live analytics, and/or cloud tooling.

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.

Quantitative Developer (KDB & Python) - Central Liquidity Strategies

at Millennium

Back to all Python jobs
Millennium logo
Hedge Funds

Quantitative Developer (KDB & Python) - Central Liquidity Strategies

at Millennium

Mid LevelNo visa sponsorshipPython

Posted 6 days ago

No clicks

Compensation
$160,000 – $250,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Join a new, dynamic Quantitative Development team tasked with building the next-generation quantitative research platform. Based in New York, you will own end-to-end development across live and historical datasets, ML models, and supporting infrastructure. You will deliver quickly and iteratively while following best engineering practices, including unit testing and CI/CD. You will collaborate across the business to shape the platform’s direction and architecture, with much of the senior team in Dublin.

Quantitative Developer (KDB & Python) - Central Liquidity Strategies

We are seeking a highly driven, results-oriented Quantitative Developer to join a new and dynamic group tasked with developing our next-generation quantitative research platform. Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely. The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

  • Impactful individual contributor: Contribute to a wide range of projects and deliver quickly and iteratively.
  • Best engineering practices: Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
  • Subject-matter expertise across the stack: Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
  • Collaboration: Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

  • Experience: 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
  • Education: Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
  • Technical skills: Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
  • Communication: Strong communication skills and the ability to work effectively in a team environment.
  • Nice to have: Experience with kdb+, PyKX, C++, cash equities, live analytics, and/or cloud tooling.

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.

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