Job Overview
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Job Description
About the Role
Millennium is seeking a highly driven, results-oriented Quantitative Developer KDB & Python to join a new and dynamic group tasked with developing their next-generation quantitative research platform. Based in New York, the successful candidate will demonstrate strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely. This role requires high autonomy, as much of the senior technical team is based in Dublin, placing significant reliance on the New York hire within the 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.
Key skills/competency
- Quantitative Development
- KDB+
- Python
- Financial Engineering
- Machine Learning Models
- Trading Analytics
- Distributed Systems
- CI/CD
- Data Management
- Problem-Solving
How to Get Hired at Millennium
- Research Millennium's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for quant roles: Highlight KDB+, Python, financial experience, and large-scale system deployment expertise.
- Showcase quantitative problem-solving: Prepare to discuss complex analytical challenges and their detailed solutions in interviews.
- Demonstrate deep technical fluency: Emphasize expertise in KDB+, Python, and enterprise trading analytics technologies.
- Practice for autonomous collaboration: Be ready to discuss how you take initiative and collaborate effectively with remote teams.
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