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- Tasks: Lead data science projects for top-tier investment banks and tackle key business challenges.
- Company: Dynamic consulting firm with a focus on capital markets and career progression.
- Benefits: Competitive salary, professional development, and opportunities for advancement.
- Other info: Exciting role with a mix of hands-on work and team management.
- Why this job: Make an impact in the finance world while developing your data science skills.
- Qualifications: Degree in Maths, Stats, or Science; experience in data science and Python knowledge required.
The predicted salary is between 36000 - 60000 £ per year.
Data Science Consultant – Capital Markets
- Data Science Consultant role with Director progression in growing consulting firm
- Ideally located Central London Offices
- Leading on projects with Top Tier Investment banks & PE firms
You’ll lead project teams working with our Capital Markets clients on key business problems & data challenges.
You’ll 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’ll build strong relationships over time.
Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & 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 & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience
- You’ll have a good knowledge of Python & associated libraries
- You’ll have a good understanding of Databases & Database Management
- SQL, Excel & 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.
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Data Science Consultant – Capital Markets 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
✨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’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make some data magic happen!
We think you need these skills to ace Data Science Consultant – Capital Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Consultant role. Highlight your experience in data science and any relevant projects you've worked on, especially those 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 explain why you're passionate about data science and how your background makes you a great fit for our team. Don’t forget to mention your experience with Python and databases, as these are key for us.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to showcase them in your application. Whether it's data modelling or machine learning, we love seeing real examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
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 about their projects, and express genuine interest in their work. This will help you stand out as someone who can build strong relationships.
✨Prepare for Project Management Questions
Since the role has a management component, be ready to discuss your experience in leading teams and managing projects. Think of examples where you've successfully guided a team through challenges, and be prepared to talk about your approach to balancing hands-on work with leadership responsibilities.