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- Tasks: Contribute to innovative data systems and research for trading strategies.
- Company: Join Macrosynergy, a pioneer in quantamental macro trading strategies.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Collaborate with a diverse team and network in the macro/quant industry.
- Why this job: Make an impact in finance by working with cutting-edge data and technology.
- Qualifications: STEM background, Python mastery, and strong problem-solving skills required.
The predicted salary is between 30000 - 40000 £ per year.
Macrosynergy is looking for a Junior Data Scientist to join our team.
The role:
The candidate will contribute to the construction and maintenance of the J.P. Morgan Macrosynergy Quantamental System (JPMaQS) and to research in how this applies to trading strategies. JPMaQS is a service that makes it easy to use quantitative-fundamental (quantamental) information for systematic trading as well as for discretionary trader support tools. By linking economic fundamentals directly to investment strategies, JPMaQS is reshaping how institutions extract value from macroeconomic information.
Responsibilities:
- Maintaining and building new data content for JPMaQS to expand the live system on JPMorgan infrastructure;
- Extending the open-source Macrosynergy Python package;
- Contributing to cutting-edge research on applying quantamental data to asset allocation;
- Engaging with and supporting clients, including sophisticated asset managers and hedge funds.
Qualifications:
- Quantitative background in STEM, Economics, Finance, or Computer/Data Science
- Mastery in Python is essential as demonstrated by past projects. Use of Git is essential, experience working with SQL desirable
- Strong practical experience in using statistics, and/or machine learning, or econometrics
- Ability to multi-task and enjoy solving technical challenges
- Work responsibility is varied; the role will be given a lot of scope and ownership over solving problems
- Excited about working with data
The candidate will work in a team of 14 people made up of quant economists, data scientists, statisticians, and developers. This gives them the opportunity to learn from senior people, interact with clients, use a range of tools and network in the broader macro / quant industry.
What you will benefit from:
- Have strong communication skills (role will involve liaising with clients)
- Are conscientious, maintain a good attention to detail, are hardworking and have a ‘can do’ attitude
- Like finding innovative solutions for difficult problems;
- Wish to upgrade your know-how and standing in the financial industry
The position is suitable for candidates who have worked for 2 years in a relevant role. The role is ‘office based’ (5 days) in central London with some flexibility to work remotely up to 20 days a year.
About the company
Macrosynergy is a pioneer of quantitative fundamental, or quantamental, macro trading strategies – advanced quantitative methods with fundamental information. Modern statistical learning and macroeconomic research are complementary and essential for efficient, ethical, and sustainable investment management. We help asset owners and managers in all stages of macro-quantamental investment management based on nearly three decades of experience across asset management, proprietary trading and macroeconomic research.
Application
Please apply by sending a covering letter, example code, and your CV. There will be 5-6 interviews. The first will be a general screening whilst the second will be technical. The subsequent meetings will be an opportunity to meet more of the team and assess fit.
Junior Data Scientist in London employer: Macrosynergy Ltd.
Contact Detail:
Macrosynergy Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Macrosynergy on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This can give you insider knowledge and make you stand out.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your past projects. Practising coding challenges can help you feel more confident when it comes to showcasing your abilities.
✨Tip Number 3
Show your passion for data! During interviews, share specific examples of how you've used data to solve problems or improve processes. This will demonstrate your excitement for the role and your ability to contribute to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Macrosynergy team.
We think you need these skills to ace Junior Data Scientist in London
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your passion for data science and how your skills align with the role. We want to see your personality come through, so don’t be afraid to let us know why you’re excited about joining our team at Macrosynergy.
Showcase Your Python Skills: Since mastery in Python is essential, include examples of past projects where you've used it effectively. We love seeing real-world applications, so if you’ve contributed to open-source projects or built something cool, make sure to mention it!
Include Relevant Experience: When listing your experience, focus on roles or projects that relate to quantitative analysis, statistics, or machine learning. We’re looking for candidates who can tackle technical challenges, so share any relevant achievements that demonstrate your problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re proactive and keen to join our innovative team at Macrosynergy!
How to prepare for a job interview at Macrosynergy Ltd.
✨Know Your Python Inside Out
Since mastery in Python is essential for this role, make sure you can discuss your past projects confidently. Be prepared to explain your code and the logic behind it, as well as any challenges you faced and how you overcame them.
✨Brush Up on Quantitative Concepts
Given the focus on quantamental data, review key concepts in statistics, machine learning, and econometrics. Be ready to discuss how these concepts apply to trading strategies and asset allocation, as this will likely come up during the technical interview.
✨Showcase Your Problem-Solving Skills
The role involves solving technical challenges, so think of examples where you've tackled complex problems. Prepare to walk through your thought process and the innovative solutions you implemented, as this will demonstrate your analytical abilities.
✨Engage with the Team Spirit
You'll be working closely with a diverse team, so show your enthusiasm for collaboration. Be ready to discuss how you’ve worked in teams before, how you communicate with clients, and how you can contribute to a positive team dynamic at Macrosynergy.