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Junior Business Analyst - Equities Technology

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Millennium

9d ago

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
  • London

AI generated summary

  • You must have 2-5 years sell-side experience, SDLC and Agile knowledge, SQL and Python skills, and the ability to communicate complex concepts clearly. Experience with JIRA and interest in scaling analytics is a plus.
  • You will liaise between research and engineering, translate strategies into specs, manage model integration, ensure data quality, document tools, test features, and explore asset classes and technologies.

Requirements

  • * Must have 2-5 years' sell-side experience
  • * 2+ years of experience with software development lifecycles (SDLC) and Agile methodologies.
  • * Strong understanding of asset pricing, and quantitative factor risk modelling workflows (e.g., portfolio optimization and construction, fundamentals of risk management).
  • * Experience working directly with portfolio researchers and software engineers.
  • * Must have experience in SQL and Python for data analysis and prototyping
  • * Experience with JIRA and Confluence
  • * Excellent written and verbal communication skills, with the ability to convey complex mathematical concepts to technical and non-technical stakeholders.
  • * Strong problem-solving skills and the ability to translate abstract quantitative challenges into actionable technical specifications.
  • * Experience or interest in scaling quantitative analytics across portfolio research and enterprise risk platforms.

Responsibilities

  • Serve as the primary liaison between quantitative research and software engineering teams to understand model specifications and translate various investment strategies into clear technical requirements.
  • Design and oversee the integration of new quantitative models and datasets into the existing trading and risk infrastructure.
  • Perform detailed data analysis and prototyping to validate model inputs/outputs and ensure data integrity across the quantitative research pipeline.
  • Develop and maintain comprehensive documentation for quantitative tools and data feeds, including functional specifications, model logic descriptions, and data dictionaries.
  • Conduct end-user testing and validation of new features, ensuring that implemented solutions align with the mathematical and business intent of investment professionals and portfolio research teams.
  • Conduct deep discovery to understand the nuances of specific asset classes and emerging technologies relevant to fundamental and quantitative investment.

FAQs

What is the primary responsibility of a Junior Business Analyst in this role?

The primary responsibility is to serve as a liaison between quantitative research and software engineering teams, translating investment model specifications into clear technical requirements for risk and performance platforms.

What qualifications are required for this position?

Candidates must have 2-5 years of sell-side experience, 2+ years of experience with software development lifecycles (SDLC) and Agile methodologies, and a strong understanding of asset pricing and quantitative factor risk modeling workflows.

Is experience in SQL and Python necessary for this role?

Yes, experience in SQL and Python is required for data analysis and prototyping.

How important are communication skills for this position?

Excellent written and verbal communication skills are very important, as the role requires conveying complex mathematical concepts to both technical and non-technical stakeholders.

What tools do we use for project management?

We utilize JIRA and Confluence for project management and documentation.

Is there an emphasis on understanding quantitative models and datasets in this role?

Yes, the role places significant emphasis on designing and overseeing the integration of new quantitative models and datasets into existing trading and risk infrastructure.

Will the Junior Business Analyst be involved in testing new features?

Yes, the role involves conducting end-user testing and validation of new features to ensure they align with the needs of investment professionals and portfolio research teams.

What type of data analysis will be performed in this role?

The Junior Business Analyst will perform detailed data analysis and prototyping to validate model inputs and outputs, ensuring data integrity across the quantitative research pipeline.

Do we offer opportunities for professional development in quantitative analytics?

Yes, candidates with experience or interest in scaling quantitative analytics across portfolio research and enterprise risk platforms will find opportunities for professional development in this area.

Is this position suitable for someone without previous experience in financial services?

No, candidates should have relevant experience, particularly in sell-side financial services, as the role requires specific industry knowledge and technical expertise.

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Millennium

Finance
Industry
1001-5000
Employees
1989
Founded Year

Mission & Purpose

Millennium is a global alternative investment management firm, founded in 1989, which manages $58.9 billion in assets. We seek to pursue a diverse array of investment strategies across industry sectors, asset classes, and geographies. Our four primary strategies are RV Fundamental Equity, Equities Arbitrage, Fixed Income Strategies, and Quantitative Strategies. Millennium was founded on the belief that innovation and results come from empowering talented, independent-minded individuals. To us, success is the combination of drive and discipline.