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Risk Data Scientist

Remote: 
Full Remote
Salary: 
41 - 41K yearly
Work from: 

Virgin Money logo
Virgin Money Financial Services XLarge https://www.virginmoneyukplc.com/
5001 - 10000 Employees
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Job description

Business Unit: Model Risk and Analytics

đŸ€‘: up to circa ÂŁ41,000 per annum DOE + red-hot benefitsđŸ”„đŸŽ

📍: UK Flexible

📑: Permanent


Get out of your comfort zone. Live a life more Virgin.


Our TeamđŸ«¶

The team’s focus is on providing quantitative and qualitative analysis across our model suite, providing solutions support the acquisition of new business, risk-based account management and manage the bank’s capital across its business portfolios. A key part of the team’s remit will be to gain buy-in from stakeholders for new ways of doing things.


What you’ll be doing😎

  • Building and validating statistical models to support business decisions, in line with regulatory requirements.
  • Researching the best techniques for the given purpose and coordinating with others to determine a model specification. Delivering analytical/statistical modelling and data analysis to support the development of the bank’s models
  • Inputting into the scoping, design, development, validation and implementation of models
  • Clearly defining problem statements and researching and testing innovative solutions to address these
  • Documenting the process and outcome of your analysis and model development to support internal review, stakeholder engagement and change proposals
  • Reviewing existing models to demonstrate continued performance and identify potential enhancements to the modelling suite.


We need you to have✹

  • Strong analytical skills with a good degree in a numerate discipline subject (e.g. statistics, engineering, econometrics)
  • Familiarity of a wide variety of advanced machine learning and AI modelling techniques with some experience of applying them, ideally in a banking environment
  • Experience of model development projects or modelling analytics within banking with an understanding of model usage
  • Practical experience of distilling and interpreting complex data and analysis
  • Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office
  • Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression.


It’s a bonus if you have but not essential🧁

  • Advanced Degree (PhD, Masters) in a data science related area
  • Coaching/mentoring experience
  • Experience in Banking and Risk Management.


Red Hot Rewards🎁

  • Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time)​ plus the option to buy more.
  • Up to five extra paid well-being days per year​.
  • 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt.
  • Market-leading pension.
  • Free private medical cover, income protection and life assurance.
  • Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness.


And there's no waiting around, you'll enjoy these benefits from day one.


Feeling insatiably curious about this role? If we’re lucky to receive a lot of interest, we may close the advert early and would hate you to miss out.


We're all about helping you Live a Life More Virgin, so happy to talk flexible working with youđŸ€.


🕕Applications Close: 21 Feb 2025 (4.00pm GMT)

Required profile

Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Skills
  • Microsoft Office
  • Coaching
  • Mentorship
  • Problem Solving

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