Software Engineer - Systematic Data Platform
at Millennium
Posted 18 hours ago
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**Software Engineer - Systematic Data Platform.** Drive next-gen systematic trading with our world-class data platform. Key responsibilities: design, expand, and optimize platform architecture, build data tools/apps for cross-functional teams. Required skills: strong software engineering background, proficiency in Java, Python, data processing tools (e.g., Kafka, Spark), experience with AWS, and understanding of systematic trading. Looking for senior-level candidates with a proven track record in building data systems from scratch. Join us to accelerate transformative growth.
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
We are building a world class systematic data platform which will power next generation of our systematic portfolio engines.
We are looking for a core software engineer that will work for our Systematic Data Platform group. The hire will be responsible for expanding and optimizing the architecture of our data platform and data tools, as well as building data related application for cross-functional teams. The ideal candidate is an experienced software engineer who enjoys optimizing data systems and building them from the ground up.
What You'll Do
Create &maintain optimal data platform architecture and implementation, build data applications & tools to help data onboarding, and provide actionable insights into data discovery / permissioning, operational efficiency & other key business metrics.
Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability and availability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Work with stakeholders from both the business and technology to assist with data-related technical issues and support their data infrastructure needs.
Create data and analytical tools for internal customers that assist them in building and optimizing our data organization into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
What You Bring
3+ years' working experience with Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with object-oriented/object-function languages: Python, Java, Scala, etc.
Strong algorithms and data structures
Experience with databases e.g. SQL Server, Oracle, Redshift, BigQuery, SnowFlake.
Strong interpersonal and communication skills
Can work independently and in a collaborative environment.
Can handle several projects with different priorities at the same time in a fast-paced environment.
Excellent self-management and problem-solving skills.
