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For Companies At a Glance
- Tasks: Join a team to forecast macroeconomic trends and drive commercial value.
- Company: Be part of a dynamic group of ML Scientists and Analysts in London.
- Benefits: Enjoy a 4-day work week and competitive salary between £60,000-£90,000.
- Why this job: Work on impactful projects using Python and AWS in a collaborative environment.
- Qualifications: MSc or PhD in Economics, Maths, or Finance; experience in macro forecasting required.
- Other info: This role cannot sponsor visas.
The predicted salary is between 60000 - 90000 £ per year.
Quant Analyst – Macro Forecasting
Salary: £60,000-£90,000 based on experience
London – 4 day a week in office
Join a dynamic team of ML Scientists, Engineers and Research Analysts working on a platform providing macroeconomic global insight for investment.
ROLE AND RESPONSIBILITIES
- Working closely within a small team, on macroeconomic forecasting
- Working alongside technical and non-technical stakeholders, driving core commercial value
- Design and implement advanced models using Python in an AWS environment
- Time series forecasting, marketing forecasting and quant methods – core day-to-day projects
- Reporting to the Head of Machine Learning
SKILLS AND EXPERIENCE
Required
- MSc or PhD (preferred) in Economics, Maths, or Financial subject
- Macroeconomics forecasting experience, statistics or quant finance
- Python experience required
- Strong foundation in econometrics, statistics, or quantitative finance.
- Excellent problem-solving skills and the ability to distil complex theories into actionable insights.
- Strong communication skills and the ability to collaborate effectively across teams.
This role cannot sponsor
Apply below!
Quant Analyst - Macro Forecasting employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst - Macro Forecasting
✨Tip Number 1
Make sure to brush up on your macroeconomic forecasting skills. Familiarize yourself with the latest trends and methodologies in the field, as this will help you stand out during discussions with our team.
✨Tip Number 2
Since you'll be working closely with both technical and non-technical stakeholders, practice explaining complex quantitative concepts in simple terms. This will demonstrate your strong communication skills and ability to collaborate effectively.
✨Tip Number 3
Get comfortable with Python and AWS, as these are essential tools for the role. Consider working on personal projects or contributing to open-source projects that involve time series forecasting or econometric modeling.
✨Tip Number 4
Network with professionals in the field of quantitative finance and macroeconomics. Attend relevant meetups or webinars to connect with others and gain insights that could be beneficial during your interview process.
We think you need these skills to ace Quant Analyst - Macro Forecasting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in macroeconomic forecasting, statistics, and quantitative finance. Emphasize your Python skills and any projects that demonstrate your problem-solving abilities.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about macroeconomic forecasting and how your background aligns with the role. Mention specific experiences where you've collaborated with both technical and non-technical stakeholders.
Showcase Your Technical Skills: If you have experience with AWS or advanced modeling techniques, be sure to include this in your application. Provide examples of how you've used these skills in past projects.
Highlight Communication Skills: Since the role requires collaboration across teams, include examples in your application that demonstrate your strong communication skills and ability to distill complex theories into actionable insights.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant projects you've worked on. Highlight specific models you've designed or implemented, especially in an AWS environment, as this will demonstrate your technical proficiency.
✨Demonstrate Your Understanding of Macroeconomics
Since the role focuses on macroeconomic forecasting, be ready to explain key concepts in macroeconomics and how they apply to investment strategies. Use examples from your past work to illustrate your understanding.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex quantitative theories in simple terms, as you will need to collaborate with both technical and non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Brush up on your quantitative finance knowledge and be ready to tackle questions that require you to distill complex problems into actionable insights.
