At a Glance
- Tasks: Innovate and solve complex problems in investment management through data analysis and tool development.
- Company: Join a growing global boutique investment management firm with a collaborative culture.
- Benefits: Competitive salary, professional growth opportunities, and a dynamic work environment.
- Other info: Fast-paced team environment focused on inclusiveness and shared values.
- Why this job: Make a real impact by developing tools that drive investment decisions and enhance portfolio performance.
- Qualifications: BSc/MSc in relevant fields and 4-7 years of quant analyst experience required.
The predicted salary is between 50000 - 70000 £ per year.
Our client, a growing Global boutique investment management organization, are looking for a Quant Analyst who likes to innovate and solve sophisticated problems and wants to be part of a software development team responsible for platform technology and solutions.
You will report directly to the Senior Portfolio Manager heading European equities and work closely with equity research analysts. Your role is right between the investment decision and data analysis. You will be required to develop tools to source and query the data required for the investment decision and visualize it in the most optimal form. Where appropriate, you will also be asked to design, evaluate and deploy appropriate statistical and machine learning models to automate processes, generate trade ideas and monitor the risk exposure of the portfolio.
You will be working in a fast-paced, performance-oriented environment with a high-achieving team who is driven by professional goals but also shares common human values of team spirit and inclusiveness.
Your responsibilities:
- Your primary task will be to work closely with the team, maintain the tools in place and develop customized new tools used in the day-to-day management of the fund and sourcing of new ideas.
- You will liaise with third-party alternative data providers to source the most appropriate data and analyze it to uncover insights.
- You will work closely with the team to automate fundamental stock analysis processes and propose and design optimal visualization tools and methods.
- You will develop, test and deploy a statistical learning model to accurately predict equity arbitrage opportunities and develop trading strategies around them.
- You will work on ad-hoc equity back-testing ideas and portfolio stress-testing events.
- You will liaise with Bloomberg product specialists to understand their alternative data and how to best leverage it.
- You will automate the recording of all internally created investment datapoints with a view to applying a statistical learning model to enhance stock picking and performance.
Your technical skills:
- BSc or MSc in Engineering, Computer Science, Mathematics, or relevant data technology field.
- 4-7 years experience within an IB or investment management quant analyst role.
- Strong coding experience in Python and Jupyter notebooks, willing to explore relevant Python packages to interact with Bloomberg, Excel etc.
- Ability to work and code in a fast-paced environment.
- Knowledge of regression/basic machine learning algorithms and desire to successfully apply them to multiple datasets.
- Skills in data visualization using Python/Excel etc.
- Presence and interest in self-teaching in virtual development communities such as GitHub, Stack Overflow and HackerRank is a plus.
- Knowledge of SQL and VBA is a plus but not necessary – desire to learn more important.
- Desire to understand market drivers and learn about stocks, fundamental analysis and stock picking.
- A proactive, analytical and self-starter mindset.
- Ability to work, write code and deliver under time pressure and in a fast-paced environment.
- Ability to work independently as well as in a team environment.
- Humility, with the desire and ability to constantly learn and improve.
- High attention to detail.
- Ability to communicate.
Quant / Data Analyst - Investment Management in London employer: Integer Executive Search Ltd
Join a dynamic and innovative global boutique investment management firm that values creativity and problem-solving. With a strong emphasis on team spirit and inclusiveness, this role offers you the chance to work alongside high-achieving professionals in a fast-paced environment, while also providing ample opportunities for personal and professional growth. Enjoy the unique advantage of being part of a collaborative software development team, where your contributions directly impact investment decisions and strategies.
Contact Details:
Integer Executive Search Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quant / Data Analyst - Investment Management in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Integer Executive Search Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quant / Data Analyst - Investment Management at Integer Executive Search Ltd.
✨Leverage Professional Networks
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 Integer Executive Search Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Quant / Data Analyst - Investment Management at Integer Executive Search Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant / Data Analyst - Investment Management in London
Some tips for your application 🫡
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. Don’t 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 Integer Executive Search Ltd, 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 you’re 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 Integer Executive Search Ltd. 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 Integer Executive Search Ltd
✨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!
✨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, it’ll really make us stand out!
✨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 Integer Executive Search Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d 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.
