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For Companies At a Glance
- Tasks: Enhance portfolios and conduct cutting-edge research in alpha combination and allocations.
- Company: Join Man Group, a global leader in investment management with a diverse culture.
- Benefits: Enjoy competitive pay, generous holidays, health perks, and continuous learning opportunities.
- Why this job: Make an impact in finance while working with top-tier quantitative researchers and innovative projects.
- Qualifications: 2-4 years in portfolio construction, strong analytical skills, and proficiency in Python.
- Other info: Dynamic work environment with excellent career growth and a commitment to diversity.
The predicted salary is between 36000 - 60000 £ per year.
Overview of the Quantitative Researcher - Portfolio Monetisation at Man Group's AHL team. The Portfolio Monetisation team is responsible for various research streams including alpha combination, alpha and fund allocations, portfolio construction and capacity evaluation, and day-to-day portfolio management across AHL. The ideal candidate will be a Quantitative Researcher with a strong background in portfolio construction with 2-4 years relevant experience.
Responsibilities
- Improvement of existing portfolios
- Cutting edge research in alpha combination and allocations
- Development of portfolio construction methods
- Day to day portfolio and risk management
- Contributing to AHL’s overall research effort by interacting with and collaborating with other research teams
Essential Skills and Qualifications
- Exceptional analytical skills; recognised by your peers as an expert in your domain
- A deep understanding of statistics/machine learning/portfolio construction techniques
- Expertise in a high-level programming language such as Python
- Proficiency with NumPy/SciPy/Pandas or similar
- Ease of handling large data sets
- Understanding risk management techniques and portfolio risk modelling
- Portfolio management experience is a plus
Personal Attributes
- Strong academic record and a degree with high mathematical, statistical and computing content e.g. Mathematics, Computer Science, Engineering, Economics or Physics from a leading university
- Hands-on attitude; willing to get involved with technology and projects across the firm
- Intellectually robust with a keenly analytic approach to problem solving
- Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
- Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike
- Confident communicator; able to argue a point concisely and deal positively with conflicting views
About Man Group and Diversity
Man Group is a global investment management firm with offices worldwide. We support equal employment opportunities to all applicants and employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category. We are a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com. Learn more at www.man.com/diversity.
Benefits
We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Depending on location, benefits may include private medical coverage, discounted gym membership options and pet insurance.
Quantitative Researcher - PM Monetisation employer: Man Group
Contact Detail:
Man Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - PM Monetisation
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Man Group, especially those in the AHL team. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving portfolio construction or data analysis. We want to see how you tackle real-world problems with your analytical prowess.
✨Tip Number 3
Ace the interview! Brush up on your knowledge of statistics, machine learning, and risk management techniques. We love candidates who can confidently discuss their thought process and problem-solving strategies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team at Man Group.
We think you need these skills to ace Quantitative Researcher - PM Monetisation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience in portfolio construction and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've applied your analytical skills, programming expertise, and understanding of risk management in past roles. This will help us see you in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about quantitative research and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Man Group
✨Know Your Numbers
Brush up on your statistical knowledge and portfolio construction techniques. Be ready to discuss specific examples of how you've applied these skills in previous roles, especially in relation to alpha combination and allocations.
✨Showcase Your Programming Skills
Make sure you’re comfortable discussing your experience with high-level programming languages like Python. Prepare to talk about projects where you’ve used libraries like NumPy, SciPy, or Pandas to handle large data sets effectively.
✨Demonstrate Analytical Thinking
Be prepared to tackle some analytical problems during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your problem-solving abilities and your understanding of risk management techniques.
✨Engage with Interpersonal Skills
Since collaboration is key in this role, think of examples where you’ve successfully worked with others, particularly in a quantitative research setting. Highlight your ability to communicate complex ideas simply and how you’ve managed conflicting views in a team.
