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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 ethical 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!
Marketing Data 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 Marketing Data Scientist
✨Tip Number 1
Get your networking game on! Connect with professionals in the financial services and data science sectors. Attend meetups, webinars, or even local events in Manchester. You never know who might have a lead on that perfect role!
✨Tip Number 2
Prepare for that group presentation like it’s the final exam! Brush up on your Python skills and be ready to showcase your analytical prowess. Practice explaining your thought process clearly and confidently – it’s all about showing how you think!
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After your interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Make sure to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Data Science skills, especially in Python and any modelling experience you have. We want to see how you've used these skills in a commercial setting, so don’t hold back!
Tailor Your Application: Take the time to customise your application for this role. Mention specific experiences that relate to pricing investments and risk assessment. This shows us you’re genuinely interested and understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to know what you can bring to the table!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application 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 projects you've worked on that involved data manipulation or analysis. Practising coding exercises beforehand can really help you feel more confident.
✨Showcase Your Analytical Skills
This position requires strong analytical abilities, so be ready to talk about your experience in modelling and analytics. Think of specific examples where you've used techniques like CHAID or Bayesian algorithms to solve real-world problems. This will demonstrate your practical knowledge and how you can apply it in a commercial setting.
✨Prepare for the Group Presentation
The interview process includes a group presentation, so make sure you’re ready to collaborate and communicate effectively with others. Practice presenting your ideas clearly and concisely, and be open to feedback from your peers. This will show that you can work well in a team, which is crucial in their collaborative environment.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services sector, especially regarding investment pricing and risk assessment. Being able to discuss current trends or challenges in the industry will not only impress your interviewers but also show that you're genuinely interested in the role and the company.