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Senior Specialist - Machine Learning Data Science

Senior Specialist - Machine Learning Data Science

Virgin Money UK PLCUnited Kingdom
26 days ago
Job type
  • Full-time
  • Part-time
Job description

Join to apply for the Senior Specialist - Machine Learning Data Science role at Virgin Money

Join to apply for the Senior Specialist - Machine Learning Data Science role at Virgin Money

Business Unit : Group Risk, Independent Model Validation

We have an exciting opportunity for a Senior Specialist-Machine Learning in our Independent Model Validation team. The validation team holds a key role in the validation, challenge, and oversight of VMUK’s overall model landscape, including credit risk, financial and operational models. You’ll have the opportunity to work across a broad range of models spanning retail and business asset classes and drive insight and improvements in model outputs and controls.

With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our team comes in! We provide and evidence oversight in the form of independent validations and reviews in Artificial Intelligence, where we work with stakeholders across the bank to ensure robust model development activities.

What you’ll be doing

  • Lead the validation of traditional and machine learning models to ensure models across the business are fit for purpose
  • Providing artificial intelligence and data science expertise to inform the discussion between Model Development and Model Risk Management.
  • Engage with model owners, gathering materials for analysis, challenging model performance or development and documenting findings
  • Utilise your technical skills in data manipulation and extraction, assessing and comparing data from a variety of sources
  • Generate model validation reports and ensure that validation actions are followed through to a resolution
  • Support the continuous learning and development of a best practice modelling culture within the bank.

We need you to have

  • A higher qualification in mathematical or computer science field (MSc and above) or equivalent technical experience
  • Significant experience in machine learning, machine learning engineering and artificial intelligence modelling techniques, including Generative AI.
  • The ability to lead the development and review modelling methodologies independently.
  • Significant statistical knowledge
  • Demonstrable experience with model development and / or model validation in some of the following areas : Fraud, Financial Crime.
  • Substantial expertise with Python programming language.
  • Advanced knowledge of data science and data mining methodologies.
  • Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent
  • Sound decision making and critical thinking, with the ability to work to a high degree of accuracy, ensuring you always get the basics right.

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

  • Good knowledge of SAS programming language
  • 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.
  • 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 you.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Quality Assurance, Analyst, and Other

    Industries

    Financial Services and Banking

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