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- Tasks: Join our team to design and develop cutting-edge equity portfolio analytics frameworks.
- Company: Millennium is a leading firm in finance, known for innovation and excellence.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Be part of a team that shapes the future of equity risk modeling and analytics.
- Qualifications: 5+ years in software development, advanced SQL, R or Python skills required.
- Other info: Experience with AWS and data Lakehouse architecture is a plus.
The predicted salary is between 48000 - 72000 £ per year.
Quantitative Developer – Equity Factor Model
Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Technology Team, which is responsible for designing and developing equity portfolio analytics framework, including MSCI Barra equity factor risk models.
Principal Responsibilities
- Build expertise in Barra and proprietary factor risk models
- Design and build data Lakehouse architecture
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.
- Work with portfolio research team on the development and integration of new analytics models into the firm’s delivery platforms
- Perform extensive back-testing of existing and new risk factor models
- Support and run processes for risk management and equity portfolio research
Qualifications/Skills Required
- Minimum of 5 years of software development experience in finance or top-tier technology companies.
- Advanced working knowledge of SQL with at least 5 years of professional development experience.
- Advanced R or Python programming skills with at least 5 years of professional development experience, including topics like OOP.
- Experience designing and building data Lakehouse architecture is a significant plus.
- Experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg is a significant plus.
- Experience with AWS data services like AWS Glue and AWS EMR.
- Strong working knowledge of statistics.
- Broad understanding of equity markets and portfolio construction.
- Strong communication skills, as this role involves direct communication with risk management and trading.
- Detail-oriented, a quick learner, and able to adapt to a dynamic, high-paced environment.
- Demonstrated track record of success in challenging environments.
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Quantitative Developer – Equity Factor Model employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer – Equity Factor Model
✨Tip Number 1
Familiarize yourself with the MSCI Barra equity factor risk models. Understanding these models will not only help you in interviews but also demonstrate your commitment to the role and the team.
✨Tip Number 2
Brush up on your SQL, R, and Python skills. Since advanced knowledge in these programming languages is crucial for this position, consider working on personal projects or contributing to open-source projects that showcase your expertise.
✨Tip Number 3
Gain hands-on experience with data Lakehouse architecture and AWS services. If you haven't worked with these technologies yet, try to set up a small project that utilizes them to show your practical understanding during discussions.
✨Tip Number 4
Prepare to discuss your experience with risk management and portfolio construction. Being able to articulate your understanding of these concepts will be key in demonstrating your fit for the role and your ability to communicate effectively with the team.
We think you need these skills to ace Quantitative Developer – Equity Factor Model
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Developer position. Understand the key responsibilities and required skills, especially focusing on the technologies and programming languages mentioned.
Highlight Relevant Experience: In your CV and cover letter, emphasize your software development experience in finance or technology. Be specific about your years of experience with SQL, R, Python, and any relevant projects that showcase your expertise in equity factor models.
Showcase Technical Skills: Clearly outline your technical skills related to data Lakehouse architecture, AWS services, and any experience with Spark or Trino. Provide examples of how you've used these technologies in past roles to solve problems or improve processes.
Communicate Effectively: Since strong communication skills are essential for this role, ensure your application reflects your ability to communicate complex ideas clearly. Use concise language and structure your application to highlight your collaborative experiences with teams.
How to prepare for a job interview at Millennium Management
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, R, and Python in detail. Highlight specific projects where you utilized these skills, especially in the context of financial applications or data architecture.
✨Demonstrate Your Understanding of Equity Markets
Make sure to articulate your knowledge of equity markets and portfolio construction. Discuss any relevant experiences that showcase your ability to analyze risk factors and contribute to portfolio analytics.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in automating processes and optimizing data pipelines. Be ready to provide examples of how you've tackled similar challenges in previous roles.
✨Communicate Effectively
Since this role involves direct communication with risk management and trading teams, practice articulating complex technical concepts in a clear and concise manner. Good communication can set you apart from other candidates.
