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- Tasks: Collaborate with finance and tech teams to enhance risk and performance platforms.
- Company: Dynamic firm at the forefront of finance and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in finance and technology.
- Qualifications: 2-5 years in sell-side roles, strong skills in SQL and Python.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a Junior Business Analyst to work closely with our portfolio risk research and technology teams to drive the implementation and enhancement of our risk and performance platforms. This role sits at the intersection of finance, technology, and data analysis, requiring a strong mathematical background alongside technical proficiency to translate complex investment models into robust software solutions. The successful candidate will bridge the gap between portfolio risk management and technical execution, managing the full requirements lifecycle for equity risk modeling and trading tools.
Key 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.
Qualifications
- 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.
Junior Business Analyst - Equities Technology employer: Millennium Management LLC
Contact Detail:
Millennium Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Business Analyst - Equities Technology
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work with portfolio risk management. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will give potential employers a taste of what you can do and how you can bridge the gap between finance and technology.
✨Tip Number 3
Prepare for interviews by brushing up on your understanding of asset pricing and quantitative factor risk modelling. Be ready to discuss how you've tackled similar challenges in the past and how you can apply that knowledge to their team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Business Analyst - Equities Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Business Analyst role. Highlight your experience with software development lifecycles and any relevant projects that showcase your skills in SQL and Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of finance, technology, and data analysis. Share specific examples of how you've bridged gaps between teams in previous roles, as this is key for us.
Showcase Your Communication Skills: Since you'll be liaising between quantitative research and software engineering teams, it's crucial to demonstrate your communication skills. Use clear and concise language in your application to show you can convey complex ideas effectively to both technical and non-technical folks.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Millennium Management LLC
✨Know Your Numbers
Brush up on your mathematical concepts and quantitative models. Be ready to discuss how you’ve applied these in previous roles, especially in relation to portfolio risk management and trading tools.
✨Speak Their Language
Familiarise yourself with the technical jargon used in finance and technology. Practice explaining complex investment strategies in simple terms, as you'll need to bridge the gap between quantitative research and software engineering.
✨Showcase Your Tech Skills
Be prepared to demonstrate your proficiency in SQL and Python. You might be asked to solve a data analysis problem on the spot, so having examples of your past work or projects can really help.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s risk and performance platforms. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.