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- Tasks: Use your Data Science skills to price potential investments and assess risk profiles.
- Company: Join a leading financial services firm in a collaborative and meritocratic environment.
- Benefits: Enjoy hybrid working, bespoke bonuses, and solid benefits in a prime Manchester location.
- Other info: Simple interview process with a group presentation and coding exercise.
- Why this job: Make a real impact in investment pricing while working with highly cerebral colleagues.
- Qualifications: Experience in Data Science, Python, and analytical modelling is essential.
The predicted salary is between 35000 - 45000 £ per year.
We're looking for someone with a Data Science skill set - Python with Pandas, modelling and analytical skills - to work on pricing potential investments for acquisition. You'll have some Data Science/Analytics experience from the UK in a commercial setting.
Financial Services, ethical, highly cerebral colleagues, collaborative environment and meritocratic. Amazing location in Manchester City Centre, hybrid working 3 days in (5 during probation), bespoke bonus and solid benefits. This role is hybrid; you'll be in the office 3 days per week in Manchester City Centre, surrounded by some highly cerebral and grounded colleagues in a meritocratic and collaborative environment. You will need to pass UK Credit and DBS checks.
You'll work in the Investment Pricing team, a team of specialists using Data Science & Analytics to price potential investments into the £M's. Support the pricing of new acquisitions by assessing the risk profiles of the portfolios across the UK, Benelux and Iberia.
Create the analysis for the investment memo in conjunction with the Senior Investment Analyst. Creation of ad-hoc models for the valuation of portfolios of varying asset types and geographies.
- 12-18 months of commercial experience as an Analyst or Data Scientist
- Experience or an interest in modelling – CHAID, Cluster Analysis, Bayesian Algorithms, NN
- Python and SQL experience ideally - Python a MUST
- Experience in a Data Science role with a focus on modelling & coding
The interview process is simple – initial phone call with the Analytics or Data Science Manager, then we invite candidates in for a group presentation, coding exercise - a spot of lunch and an interview on the same day!
Data Marketing Scientist employer: PeopleGenius-Data Science & Analytics
Contact Detail:
PeopleGenius-Data Science & Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist
✨Tip Number 1
Get your networking game on! Connect with professionals in the Data Science and Financial Services sectors on LinkedIn. Join relevant groups and participate in discussions to showcase your knowledge and passion for the field.
✨Tip Number 2
Prepare for that group presentation! Brush up on your Python skills and be ready to demonstrate your analytical prowess. Practice explaining your thought process clearly, as communication is key in a collaborative environment.
✨Tip Number 3
Don’t underestimate the power of mock interviews! Grab a mate or use online platforms to simulate the interview experience. This will help you feel more confident and articulate when discussing your experience and skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and working in that amazing Manchester City Centre location.
We think you need these skills to ace Data Marketing Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Data Science skills, especially in Python and Pandas. We want to see how you've used these tools in a commercial setting, so don’t hold back on sharing specific examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with modelling and analytics, and how it relates to pricing potential investments. We love seeing candidates who take the time to connect their background with what we do!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Remember, we’re looking for someone who can communicate complex ideas simply!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at PeopleGenius-Data Science & Analytics
✨Know Your Python Inside Out
Since Python is a must for this role, make sure you brush up on your skills. Be prepared to discuss your experience with Pandas and any relevant libraries. Practise coding exercises beforehand so you can demonstrate your proficiency during the interview.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services sector, especially in relation to investment pricing. Research recent trends and challenges in the industry, as this will help you engage in meaningful discussions with your interviewers and show your genuine interest in the field.
✨Prepare for Group Presentations
Since the interview includes a group presentation, think about how you can effectively communicate your ideas. Practise presenting complex data in a clear and concise manner, and be ready to collaborate with others during the exercise. This will showcase your teamwork skills and analytical thinking.
✨Showcase Your Modelling Skills
Highlight any experience you have with modelling techniques like CHAID, Cluster Analysis, or Bayesian Algorithms. Be ready to discuss specific projects where you've applied these methods, as this will demonstrate your analytical capabilities and fit for the role.