At a Glance
- Tasks: Conduct original research to model global macro assets and create predictive trading strategies.
- Company: Join Man Group, a leader in the financial sector with a focus on innovation.
- Benefits: Enjoy competitive benefits, flexible working arrangements, and a commitment to employee development.
- Why this job: Make an impact in finance by developing cutting-edge trading strategies in a supportive environment.
- Qualifications: Strong foundation in quantitative disciplines and experience with financial datasets.
The predicted salary is between 60000 - 80000 Β£ per year.
Man Group is seeking a Research Analyst within its AHL Global Trend And Volatility sector. The successful candidate will engage in original alpha research to model global macro assets and develop predictive trading strategies. Applicants should have a strong foundation in quantitative disciplines and experience in financial datasets.
This role offers a supportive environment emphasizing equality and employee development, culminating in competitive benefits and flexible working arrangements.
Macro Quant Researcher β Alpha Signals & Trend Timing employer: Man Group
Man Group is an excellent employer for those looking to thrive in the dynamic field of quantitative research. With a strong commitment to employee development and a culture that prioritises equality, you will benefit from competitive remuneration, flexible working arrangements, and opportunities to engage in innovative research that shapes the future of trading strategies. Located in a vibrant financial hub, this role offers a unique chance to collaborate with industry leaders while advancing your career in a supportive environment.
StudySmarter Expert Adviceπ€«
We think this is how you could land Macro Quant Researcher β Alpha Signals & Trend Timing
β¨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Man Group.
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We think you need these skills to ace Macro Quant Researcher β Alpha Signals & Trend Timing
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Man Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Man Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Man Group
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
β¨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, itβll really make us stand out!
β¨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Man Group!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.