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- Tasks: Join our team to analyse data and deliver insights using tools like Tableau, Excel, R, or Python.
- Company: Be part of a top-tier global investment management firm with a strong reputation.
- Benefits: Enjoy a competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Make an impact in finance while working in a dynamic, innovative environment.
- Qualifications: 3-7 years of experience in data science; programming skills in Python, R, or SQL required.
- Other info: This is a newly created role within a growing Data Science research team.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Date Posted: 10 January 2020
Category: Investment
Job Type: Permanent
Job ID: J17271
Competitive Salary + bonus
Our client, a global top tier investment management firm is looking to hire a Data Scientist to join their growing Data Science research team. This is a newly created role, joining the Data Science function within the client facing arm of the business which is responsible for delivering insights for Sales, Relationship Management and Client Services teams.
Responsibilities:
- Create analysis reports and presentations, delivery of ad-hoc analysis in Tableau, Excel, R or Python.
- Engage with internal stakeholders to understand their needs and deliver insights to help shape their actions.
- Running data science research projects; creation of tools, techniques and practices to maximise efficiency of the team.
- Liaise with IT to develop and enhance technical tools including steering the development of the analytics data warehouse for enterprise data.
Candidate Requirements:
- 3-7 years experience in a data scientist function in a B2B environment.
- Programming experience in one or more of the following: Python, R, VBA, SQL, Alteryx.
- Relevant degree subject (Maths, Statistics, Data Science or another Science related subject).
- An interest in finance and the investment management industry.
- Exposure to machine learning.
- Excellent communication skills and business acumen.
- Creativity and action-oriented.
Data Scientist - Investment Management Firm employer: Mason Blake
Contact Detail:
Mason Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Investment Management Firm
✨Tip Number 1
Network with professionals in the investment management sector. Attend industry events, webinars, or meetups to connect with data scientists and hiring managers. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Tableau, R, and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 3
Stay updated on trends in data science and the investment management industry. Follow relevant blogs, podcasts, and publications to understand current challenges and innovations, which can help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss your previous projects and how they relate to the responsibilities of this role. Be ready to explain your thought process, the tools you used, and the impact of your work, as this will demonstrate your problem-solving abilities and business acumen.
We think you need these skills to ace Data Scientist - Investment Management Firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in a B2B environment. Emphasise your programming skills in Python, R, SQL, or any other relevant tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and the investment management industry. Mention specific projects or experiences that demonstrate your ability to deliver insights and engage with stakeholders.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in data analysis tools like Tableau and Excel. Provide examples of how you've used these tools in previous roles to create impactful reports or analyses.
Highlight Communication Skills: Since excellent communication is key for this role, include examples of how you've effectively communicated complex data insights to non-technical stakeholders. This will show your ability to engage with internal teams and deliver actionable insights.
How to prepare for a job interview at Mason Blake
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python, R, SQL, or any other relevant tools. Bring examples of past projects where you used these skills, especially in a B2B context, to demonstrate your capability.
✨Understand the Investment Management Industry
Research the firm and the investment management sector. Be ready to discuss how data science can impact sales and client services within this industry, showing your genuine interest and understanding of the field.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process clearly, as communication is key in conveying complex data insights to stakeholders.
✨Engage with Stakeholders
Demonstrate your ability to liaise with internal teams by discussing how you would approach understanding their needs. Share examples of how you've successfully collaborated with others to deliver actionable insights in previous roles.
