Junior Business Analyst

Millennium; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Millennium is a global, diversified alternative investment firm seeking to enhance its equity risk modeling and trading capabilities. You will collaborate with quantitative researchers and software engineers to translate model specs into actionable technical requirements.

You will own end-to-end requirements for risk tools, design model/data integrations, and perform rigorous data analysis and prototyping to ensure accuracy and reliability for investment professionals.

Qualifications

• 2–5 years of sell-side experience.
• Strong SQL and Python for data analysis and prototyping.
• Experience with Agile software development lifecycle.
• Ability to translate complex mathematical concepts to technical and nontechnical stakeholders.

Responsibilities

• Translate model specifications and investment strategies into technical requirements.
• Manage end-to-end requirements for equity risk modeling and trading tools.
• Design and integrate quantitative models and datasets into trading and 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 ensure alignment with business intent.
• Conduct discovery to understand asset classes and emerging technologies relevant to investing.

Skills

SQL

Python

Agile

Data analysis

Communication

Tools

JIRA

Confluence

Job description

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.

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 engineers
• Strong 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