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- Tasks: Lead data projects for top investment banks and tackle key business challenges.
- Company: Dynamic consulting firm with a focus on capital markets.
- Benefits: Career progression to Director, competitive salary, and a vibrant work culture.
- Why this job: Make an impact in finance using data science and machine learning.
- Qualifications: Degree in Maths, Stats, or Science; experience in data science preferred.
- Other info: Opportunity to grow in a fast-paced environment with diverse projects.
The predicted salary is between 43200 - 72000 £ per year.
Data Science Consultant role with Director progression in a growing consulting firm.
Ideally located in Central London Offices, leading on projects with Top Tier Investment banks and PE firms.
You will lead project teams working with our Capital Markets clients on key business problems and data challenges. You will be introduced to and will lead all relationships from a Data perspective within our capital markets clients, and to be successful in this role you will build strong relationships over time.
Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science and Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting.
What we are looking for:
- Degree level academics in Quant topic: Maths, Stats, Science etc.
- Track record of working on Data Science and Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience.
- Good knowledge of Python and associated libraries.
- Good understanding of Databases and Database Management.
- SQL, Excel and a Data Visualisation tool preferred.
- Initially, the role will probably be around 50/50 in terms of hands-on to Project/Team Management, but likely to be less hands-on over time.
Data Science Consultant – Capital Markets in London employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant – Capital Markets in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Capital Markets space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to financial data analysis or machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and data visualisation tools. Also, practice explaining complex concepts in simple terms – it’s all about making those connections!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Science Consultant – Capital Markets in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Science Consultant. Highlight your experience in data science and analysis, especially any projects related to Capital Markets. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how your background makes you a great fit for our team. Don’t forget to mention any relevant experience with Python, SQL, or data visualisation tools.
Showcase Your Projects: If you’ve worked on any interesting data projects, make sure to include them in your application. Whether it’s data modelling or machine learning, we love to see real examples of your work and how you’ve tackled business problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Wyatt Partners
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data science concepts, especially those relevant to capital markets. Be prepared to discuss your experience with data modelling, machine learning, and statistical analysis. Having specific examples ready will show that you can tackle the key business problems they face.
✨Showcase Your Technical Skills
Since the role requires a good grasp of Python, SQL, and data visualisation tools, be ready to demonstrate your proficiency. You might be asked to solve a problem on the spot or explain how you've used these skills in past projects. Practice coding challenges and be familiar with common libraries.
✨Build Rapport with Interviewers
This role involves leading relationships with clients, so showing your interpersonal skills is crucial. During the interview, engage with your interviewers, ask insightful questions, and express genuine interest in their work. This will help you stand out as someone who can build strong relationships over time.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about how you would approach various data challenges in capital markets. Practising these scenarios beforehand will help you articulate your thought process clearly during the interview.