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- Tasks: Lead project teams tackling data challenges for top investment banks and PE firms.
- Company: Join a growing consulting firm located in Central London with exciting career progression.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Why this job: Work on diverse projects that impact the financial sector while building strong client relationships.
- Qualifications: Degree in a quantitative field; experience in Data Science, Python, SQL, and data visualization tools.
- Other info: Role involves a mix of hands-on work and team management, evolving over time.
The predicted salary is between 43200 - 72000 £ 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. #J-18808-Ljbffr
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
Make sure to showcase your experience in Data Science and Analysis projects, especially if you have worked within Capital Markets. Highlight any specific projects where you tackled business problems using data.
✨Tip Number 2
Build a strong understanding of the financial industry and current trends in Capital Markets. This knowledge will help you engage with potential clients and demonstrate your expertise during interviews.
✨Tip Number 3
Network with professionals in the Capital Markets sector. Attend industry events or webinars to connect with people who can provide insights and potentially refer you to opportunities at firms like ours.
✨Tip Number 4
Familiarize yourself with Python and its libraries, as well as SQL and data visualization tools. Being able to discuss your technical skills confidently will set you apart from other candidates.
We think you need these skills to ace Data Science Consultant – Capital Markets
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Science Consultant position. Highlight your experience in data science, particularly within capital markets, and how it aligns with the job description.
Tailor Your CV: Customize your CV to emphasize relevant skills such as Python, SQL, and data visualization tools. Include specific examples of past projects that demonstrate your expertise in data modeling and analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to build strong relationships with clients. Mention any relevant experience with top-tier investment banks or private equity firms.
Highlight Team Management Experience: Since the role involves project and team management, be sure to include any leadership experiences you have. Discuss how you've successfully led teams in previous roles and how you plan to manage projects effectively.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant libraries during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in the context of data science and analysis.
✨Demonstrate Your Understanding of Capital Markets
Familiarize yourself with key concepts and current trends in capital markets. Be ready to discuss how your experience aligns with the challenges faced by investment banks and private equity firms.
✨Emphasize Relationship Building
Since the role involves leading relationships from a data perspective, share examples of how you've successfully built and maintained client relationships in previous roles. This will show your ability to connect with clients over time.
✨Prepare for Project Management Questions
As the role includes project and team management, be ready to discuss your experience in leading teams and managing projects. Highlight any methodologies you are familiar with and how you ensure project success.
