Junior Business Analyst

We are seeking a Junior Business Analyst to join our team at Equity IT, working on a project for Millennium, a global alternative investment firm.

The Junior Business Analyst will partner with quantitative research and software engineering teams to translate model specifications and investment strategies into clear technical requirements. The successful candidate will 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, and perform data analysis and prototyping to validate model inputs and outputs.

Responsibilities:

• 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

Requirements:

• 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 non-technical stakeholders
• Strong analytical and problem-solving skills, with the ability to convert abstract quantitative challenges into actionable technical specifications