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- Tasks: Support the quant team with research, programming, and data analysis in Python and SQL.
- Company: Join a leading investment manager in the heart of London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make an impact by developing quantitative models and optimising portfolios.
- Qualifications: 1-2 years' experience in investment management and a STEM degree required.
- Other info: Dynamic role with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
My client, an investment manager based in the city, is seeking a Quantitative Analyst to join their central quant team. In this role, you will support the quant team with research, programming, and data analysis in Python and SQL. You will contribute to developing quantitative models, optimising portfolios, and enhancing data pipelines.
Responsibilities:
- Develop and support quantitative models and investment decisions.
- Conduct research and statistical analysis for analysts and PMs.
- Develop portfolio optimisation tools and analytical models.
- Enhance data pipelines and automate processes.
Qualifications:
- 1-2 years' experience in investment management.
- Bachelor's or Master's degree in a STEM discipline.
- Proficiency in MATLAB or Python and databases.
- Strong understanding of asset pricing, risk management, and modern portfolio theory.
- Excellent attention to detail and communication skills.
Interested? Please reach out directly to lucia.paolinelli@harringtonstarr.com or apply to this job advert.
Quantitative Analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quant space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with quantitative models. Practising common interview questions can help you feel more confident.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects or research, make sure to highlight them during interviews. This is your chance to demonstrate your skills and passion for quantitative analysis.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience in investment management, programming skills in Python or MATLAB, and any relevant projects that showcase your analytical abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your background makes you a great fit for the team. Don’t forget to mention specific skills that align with the job description.
Showcase Your Technical Skills: Since this role requires strong programming skills, be sure to include any relevant projects or experiences that demonstrate your proficiency in Python, SQL, or MATLAB. If you've worked on portfolio optimisation or data analysis, shout about it!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our quant team!
How to prepare for a job interview at Harrington Starr
✨Know Your Numbers
As a Quantitative Analyst, you'll be dealing with data and models, so brush up on your statistical knowledge. Be prepared to discuss specific quantitative methods you've used in past projects or studies, and how they contributed to decision-making.
✨Show Off Your Coding Skills
Since programming in Python and SQL is key for this role, make sure you can talk about your coding experience confidently. Bring examples of projects where you've used these languages, and if possible, be ready to solve a coding challenge during the interview.
✨Understand the Business
Research the investment management industry and the specific company you're interviewing with. Understand their approach to portfolio optimisation and risk management, and be ready to discuss how your skills can contribute to their goals.
✨Communicate Clearly
Excellent communication skills are essential for a Quantitative Analyst. Practice explaining complex concepts in simple terms, as you'll need to convey your findings to analysts and portfolio managers who may not have a technical background.
