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- Tasks: Join the Investment Pricing team to analyse and model potential investments using data science.
- Company: Ethical financial services firm with a collaborative and meritocratic culture.
- Benefits: Hybrid working, bespoke bonuses, solid benefits, and a vibrant Manchester city centre location.
- Other info: Simple interview process with prompt offers and excellent career growth opportunities.
- Why this job: Make a real impact in investment pricing while working with cutting-edge data science techniques.
- Qualifications: 12-18 months of experience in data science or analytics, strong Python skills required.
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.
The Client: 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. Industry leaders utilising highly progressive modelling & analytics, simulations and more.
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.
About the role: 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.
- Support creation of new pricing methodologies.
- Create the analysis for the investment memo in conjunction with the Senior Investment Analyst.
- Support the (on-site) Due Diligence process to understand how the portfolio has been managed to date. Reflect the information to assess how the pricing models should be refined.
- Creation of ad-hoc models for the valuation of portfolios of varying asset types and geographies.
- Support Lead Analyst with the development of the investment framework.
About you:
- 12-18 months of commercial experience as an Analyst or Data Scientist.
- Minimum 2:1 in a Quantitative subject.
- Experience OR an interest in Modelling – CHAID, Cluster Analysis, Bayesian Algorithms, NN.
- Experience with visualisation tools would be nice.
- Python and SQL experience ideally - Python a MUST.
- Experience in a Data Science role with a focus on Modelling & Coding.
- Industry Agnostic.
What Happens Next?: 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! Offers are made promptly.
Please feel free to call or email any of the team at PeopleGenius for more information on this or any of our other roles.
Data Scientist in Bolton employer: PeopleGenius
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, especially since this role is in a collaborative environment. We suggest practising common data science interview questions and even some coding challenges to show off your Python skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real-world applications of your data science skills, especially if they relate to pricing models or analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who fit the bill for roles like this one.
We think you need these skills to ace Data Scientist in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Data Science skills, especially in Python and Modelling. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
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 you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've used your analytical skills in a commercial setting. Whether it's through specific projects or challenges you've tackled, we want to see your thought process and problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at PeopleGenius
✨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 specific projects where you've used Python for data analysis or modelling. Practising coding exercises beforehand can really help you feel more confident.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services industry, especially around investment pricing. Knowing how ethical considerations play into financial decisions can set you apart. Research recent trends and challenges in the sector to show that you're not just technically skilled but also industry-savvy.
✨Prepare for Group Dynamics
Since the interview includes a group presentation, think about how you can contribute effectively in a team setting. Practice articulating your ideas clearly and concisely, and be ready to engage with others' thoughts. Collaboration is key in their meritocratic environment, so showing you can work well with others will be a big plus.
✨Showcase Your Analytical Mindset
Be ready to discuss your analytical skills and how you've applied them in previous roles. Prepare examples of how you've assessed risk profiles or created pricing methodologies. Highlighting your problem-solving approach and how you refine models based on data will demonstrate your fit for the role.