Junior Business Analyst

Millennium Management LLC; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Millennium is seeking a Junior Business Analyst to partner with quantitative research and software engineering teams, translating model specifications into clear technical requirements and managing the end-to-end requirements lifecycle for equity risk modeling and trading tools.

You will design data flows, validate model inputs/outputs, and help maintain documentation and data dictionaries within Millennium's Information Technology organization.

Qualifications

• 2–5 years of sell-side experience.
• 2+ years with software development lifecycles and Agile.
• Strong understanding of asset pricing and quantitative factor risk modeling.
• Experience with portfolio optimization and risk management workflows.

Responsibilities

• Partner with quantitative research and software engineering teams to translate model specifications into technical requirements.
• Manage the end-to-end requirements lifecycle for equity risk modeling and trading tools.
• Design and oversee the integration of quantitative models and datasets into trading/risk infrastructure.
• Perform data analysis and prototyping to validate model inputs/outputs and ensure data integrity.
• Develop and maintain functional specifications, model logic documentation, and data dictionaries.
• Conduct end-user testing and feature validation to align solutions with investment professionals' needs.

Skills

SQL

Python

Agile methodologies

Communication

Analytical thinking

Tools

JIRA

Confluence

Job description

Junior Business Analyst

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

Core to the health and growth of Millennium's business, the Information Technology organization develops flexible, scalable technology and advanced proprietary systems, including the next generation of analytical and trading capabilities. The team partners with portfolio risk research and technology groups to develop and enhance risk and performance platforms that support equity risk modeling, investment analytics, and trading tools.

What You'll Do

• Partner with quantitative research and software engineering teams to translate model specifications and investment strategies into clear technical requirements
• Manage the end-to-end requirements lifecycle for equity risk modeling and trading tools
• Design and oversee the integration of quantitative models and datasets into existing trading and risk infrastructure
• Perform data analysis and prototyping to validate model inputs and outputs and maintain data integrity across the research pipeline
• Develop and maintain functional specifications, model logic documentation, data dictionaries, and documentation for quantitative tools and data feeds
• Conduct end-user testing and feature validation to confirm solutions align with the mathematical and business intent of investment professionals and portfolio research teams
• Conduct discovery to understand the nuances of specific asset classes and emerging technologies relevant to fundamental and quantitative investing

What You Bring

• Two to five years of sell-side experience
• At least two years of experience working with software development lifecycles and Agile methodologies
• Strong understanding of asset pricing and quantitative factor risk modeling workflows, including portfolio optimization, portfolio construction, and risk management fundamentals
• Experience working directly with portfolio researchers and software engineersStrong SQL and Python skills for data analysis and prototyping
• Experience using JIRA and Confluence
• Excellent written and verbal communication skills, with the ability to convey complex mathematical concepts clearly to technical and nontechnical stakeholders
• Strong analytical and problem-solving skills, with the ability to convert abstract quantitative challenges into actionable technical specifications and an interest in scaling quantitative analytics across portfolio research and enterprise risk platforms