At a Glance
- Tasks: Collaborate with teams to translate investment strategies into technical requirements and manage data analysis.
- Company: Global alternative investment firm focused on innovation and results since 1989.
- Benefits: Empowering work culture, opportunities for growth, and a supportive global network.
- Other info: Dynamic environment with a focus on continuous learning and career advancement.
- Why this job: Make an impact in finance by working with cutting-edge technology and quantitative models.
- Qualifications: Experience in sell-side roles, software development, and strong SQL/Python skills.
The predicted salary is between 29700 - 36300 £ per year.
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.
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.
Junior Business Analyst in London employer: Millennium
Millennium is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to take ownership of their ideas while benefiting from a robust global support network. With a strong focus on professional development and continuous learning, the Business Manager role in International Operations offers unique opportunities for growth and impact within a dynamic financial environment. Located in a vibrant hub, Millennium provides a stimulating work atmosphere where talent can thrive and contribute to meaningful outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Business Analyst in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Millennium!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Junior Business Analyst in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Millennium, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Millennium
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Millennium’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
