At a Glance
- Tasks: Develop AI tools and build data solutions for investment management.
- Company: Dynamic investment family office with a diverse portfolio.
- Benefits: Gain exposure to senior leaders and innovative projects.
- Other info: Opportunity for creativity and ownership in a fast-paced environment.
- Why this job: Transform investment data management with cutting-edge technology.
- Qualifications: 3-5 years in data analytics, strong Python and SQL skills.
The predicted salary is between 45000 - 55000 £ per year.
Passionate about AI, technology and data? Interested in applying your skills to the world of investments?
We are working with a highly successful, privately owned investment family office with a diverse portfolio spanning hedge funds, private equity, venture capital and public markets.
This is a genuinely exciting opportunity for a technically talented individual to work at the intersection of
AI, data and investment management
This is not your typical Data Analyst role.
Working directly with the CIO, CFO and senior leadership, you will have the autonomy to build innovative solutions, introduce AI-driven tools and transform how investment data is managed and analysed.
The opportunity
- Develop and implement AI tools, LLMs and intelligent automation.
- Build data infrastructure and analytical solutions using Python and SQL.
- Create dashboards and portfolio analytics to support investment decisions.
- Take ownership of technology initiatives from concept through to delivery.
- Gain exposure to a sophisticated investment portfolio and senior decision-makers.
What are we looking for?
- Ideally 3–5 years' experience in data analytics, engineering or software development.
- Strong Python and SQL skills.
- Hands-on experience with AI, LLMs and automation.
- An entrepreneurial mindset, intellectual curiosity and a passion for building solutions.
Investment management experience is NOT essential. We are looking for technical ability, creativity and ambition.
If you're working in a technology business, startup or data-focused role and want greater ownership, variety and exposure to the investment world, this could be an exceptional career move.
Data & AI Analyst - Investments in London employer: One Ten Associates
One Ten Associates is an exceptional employer, offering a dynamic work environment where innovation meets finance. With a strong focus on employee development and market-competitive compensation, team members are encouraged to enhance their skills, particularly in tech and AI, fostering a culture of continuous learning. Located in a vibrant financial hub, the firm provides unique opportunities for career growth while being at the forefront of industry advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Analyst - Investments 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 One Ten Associates!
✨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 Data & AI Analyst - Investments at One Ten Associates.
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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 One Ten Associates.
✨Apply Directly through Our Website
When you find a suitable opening like Data & AI Analyst - Investments at One Ten Associates, 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 Data & AI Analyst - Investments 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 One Ten Associates, 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 One Ten Associates. 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 One Ten Associates
✨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 One Ten Associates!
✨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.
