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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 with a collaborative and ethical culture.
- Benefits: Enjoy hybrid working, bespoke bonuses, and solid benefits in a vibrant Manchester 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 analytics and modelling.
- Qualifications: 12-18 months of experience in data science or analytics, with strong Python skills.
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 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 Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for that group presentation! Brush up on your coding skills and be ready to showcase your analytical prowess. Practising with friends or colleagues can help you feel more confident when it’s showtime.
✨Tip Number 3
Don’t underestimate the power of follow-ups! 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
Apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist
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 impactful – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've used your analytical skills in a commercial setting. Whether it's through specific projects or methodologies, 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 your application and ensures you don’t miss out on any important updates from us!
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 you've used. Practise coding problems that involve data manipulation and analysis to showcase your proficiency.
✨Understand the Business Context
Familiarise yourself with the financial services industry, especially around investment pricing. Research how data science is applied in this context and be ready to discuss how your analytical skills can contribute to pricing methodologies and risk assessments.
✨Prepare for Group Dynamics
Since the interview includes a group presentation, think about how you can effectively communicate your ideas while collaborating with others. Practise presenting your thoughts clearly and concisely, and be open to feedback from your peers during the exercise.
✨Showcase Your Analytical Mindset
Be ready to discuss specific projects where you've applied modelling techniques like CHAID or Bayesian algorithms. Highlight your problem-solving approach and how you’ve used data to drive decisions. This will demonstrate your analytical mindset and fit for the role.