At a Glance
- Tasks: Develop data pipelines, analyse metrics, and support machine learning models.
- Company: Join a leading financial services firm in London with a focus on Data & AI.
- Benefits: Competitive salary, performance reviews, health cash plan, and ongoing training.
- Other info: Inclusive employer committed to attracting diverse talent.
- Why this job: Kickstart your career in a dynamic environment with real-world impact and growth opportunities.
- Qualifications: Bachelor’s or Master’s in a quantitative field; strong Python and SQL skills required.
The predicted salary is between 28000 - 35000 £ per year.
Do you have a passion for Data & AI? Can you combine this with strong technical, analytical and problem‑solving skills? Then, this early‑career programme could be the perfect way to start your professional career.
What will I be learning?
On this programme, you’ll experience working in London within a Financial Services company. Over the first 1–2 weeks with us, you’ll complete our award‑winning Simulate academy to learn and develop in a supportive environment the skills and knowledge you’ll need to successfully perform the role of a Junior Data Scientist. After, you will move to the client site, helping to deliver key outcomes alongside industry professionals.
What work will I be doing?
As a Junior Data Scientist, you will sit at the intersection of quantitative analysis, technology, and operations. You will work closely with senior data scientists, product managers, and brokerage desks to design solutions that optimise trade lifecycle efficiency, enhance market data quality, and automate legacy workflows.
- Key Responsibilities:
- Data Pipeline Development: Build and maintain scalable data pipelines using Python and SQL to ingest, process, and store real‑time and historical market data.
- Operational Analytics: Analyse internal operational metrics (e.g., trade processing times, system latency, and STP/Straight‑Through Processing rates) to identify bottlenecks and operational improvements.
- Algorithm & Tooling Support: Assist in developing machine learning models and predictive analytics for post‑trade services, compliance monitoring, and data quality assurance.
- Cross‑Functional Collaboration: Partner with global sales, broking, and technology teams to understand business requirements and translate them into robust data models.
- Dashboarding & Reporting: Create intuitive data visualisations and automated reporting dashboards (e.g., using Tableau, Power BI, or Python‑based UIs) to provide actionable insights for operations management.
What will I be gaining?
- Training in both technical and soft skills to help you develop relevant skills and knowledge in your role in our intensive Simul8 training academy.
- A dynamic, hybrid work environment bridging advanced AI/Technology with traditional global brokerage operations.
- Continuous learning opportunities regarding financial market microstructure, trade lifecycles, and institutional liquidity.
- Experience working at a top (financial or tech) firm early in your career.
- Ongoing formal and informal support and training as you develop and learn in your role.
- Social events, as well as community, charity, and voluntary activities with other individuals starting their careers.
- The potential opportunity to convert to a permanent role with the client.
What are we looking for?
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Finance, or a related quantitative discipline.
- Technical Proficiencies:
- Programming: Strong coding skills in Python, alongside proficiency in querying and managing data with SQL.
- Data Ecosystem: Familiarity with data manipulation libraries (Pandas, NumPy) and machine learning frameworks (Scikit‑Learn, TensorFlow, or PyTorch).
- Tools: Basic understanding of version control (Git) and BI/visualisation tools. Advanced Excel capabilities are highly valued for trading desk integration.
- Soft Skills: Exceptional analytical and problem‑solving capabilities, with a high degree of attention to detail and data integrity.
- Industry Domain: Knowledge of financial markets (Fixed Income, OTC derivatives, or FX) and an understanding of front‑to‑back trading operations are significant advantages.
Benefits:
- Alongside your starting salary, there will be a performance review every 6 months.
- Ongoing training and development support through one‑to‑one coaching and access to online training services.
- Health cash plan coverage.
- Cycle to work scheme.
Vantage Point Global is a fully committed Equal Opportunities, inclusive employer. We are passionate about attracting diverse talent, and welcome applications regardless of ethnicity, culture, age, gender, nationality, religion, disability, or sexual orientation.
Things you need to know:
To apply, you’ll need to provide us with a CV and answer a few initial questions. We’d like to make you aware that if you have not heard back from us within three weeks of the date of application, we will not be progressing your application.
Junior Data Scientist Early Careers Programme · London · employer: Vantage Point Global
Vantage Point Global is an exceptional employer for aspiring data scientists, offering a dynamic early-careers programme in the heart of London. With a strong focus on professional development through our award-winning Simul8 academy, employees benefit from ongoing training, mentorship, and the opportunity to work alongside industry experts in a collaborative environment. Our commitment to diversity and inclusion, coupled with unique perks like a health cash plan and a cycle to work scheme, makes us a standout choice for those looking to launch their careers in data and AI within the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist Early Careers Programme · London ·
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, and don’t be shy about asking for insights into the company culture or the role. A friendly chat can sometimes lead to referrals, which can give you a leg up in the application process.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you’ll be working with Python and SQL, make sure you can confidently discuss your experience and even solve some coding challenges on the spot. Practice makes perfect!
✨Tip Number 3
Showcase your passion for data and AI during interviews. Share any personal projects or relevant coursework that highlight your analytical skills. This will demonstrate your enthusiasm and commitment to the field, making you stand out from the crowd.
✨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 our team. Let’s get you started on this exciting journey!
We think you need these skills to ace Junior Data Scientist Early Careers Programme · London ·
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences that align with the Junior Data Scientist role. We want to see how your background in data science, programming, and analytics fits into what we do at StudySmarter.
Show Your Passion:In your application, let us know why you're passionate about Data & AI. Share any projects or experiences that showcase your enthusiasm and commitment to the field. We love seeing candidates who are genuinely excited about what they do!
Be Clear and Concise:When answering our initial questions, keep your responses clear and to the point. We appreciate straightforward answers that get right to the heart of your qualifications and motivations. Remember, less is often more!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at Vantage Point Global
✨Know Your Data
Brush up on your knowledge of data manipulation libraries like Pandas and NumPy, as well as machine learning frameworks such as Scikit-Learn. Be ready to discuss how you've used these tools in past projects or coursework.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled analytical challenges. Think about times when you identified bottlenecks or improved processes, especially in a data context, and be ready to explain your thought process.
✨Familiarise Yourself with Financial Markets
Since this role is within financial services, having a basic understanding of concepts like trade lifecycles and market data quality will set you apart. Do some research on current trends in the financial markets to demonstrate your interest.
✨Practice Your Communication Skills
As a Junior Data Scientist, you'll need to collaborate with various teams. Practice explaining complex data concepts in simple terms, and be prepared to discuss how you would present data insights using visualisation tools like Tableau or Power BI.
