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Remote
GBP 50.000 - 60.000
Dringend zu besetzen
Heute
Ich möchte über neue Stellenangebote mit dem Stichwort „Contract“ benachrichtigt werden.

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Senior Specialist-Machine Learning Data Science

Sei unter den ersten Bewerbenden.
Virgin Money
London
Remote
GBP 50.000 - 60.000
Sei unter den ersten Bewerbenden.
Gestern
Jobbeschreibung

Business Unit: Group Risk, Independent Model Validation

Salary range: up to circa £60,000 per annum DOE + red-hot benefits

Location: UK Flexible/Remote

Contract type: Permanent

Our Team

We have an exciting opportunity for a Senior Specialist-Machine Learning in our Independent Model Validation team. The validation team plays a key role in validating, challenging, and overseeing VMUK's overall model landscape, including credit risk, financial, and operational models. You'll work across a broad range of models spanning retail and business asset classes, driving insights and improvements in model outputs and controls.

With emerging technologies like Machine Learning and Generative AI, the financial modelling space is rapidly evolving, requiring proper management. Our team provides independent validations and reviews in Artificial Intelligence, collaborating with stakeholders across the bank to ensure robust model development activities.

What you'll be doing
  1. Lead validation of traditional and machine learning models to ensure they are fit for purpose.
  2. Provide artificial intelligence and data science expertise to bridge Model Development and Model Risk Management discussions.
  3. Engage with model owners, gather materials for analysis, challenge model performance or development, and document findings.
  4. Utilise technical skills in data manipulation and extraction, assessing data from various sources.
  5. Generate validation reports and ensure follow-through on validation actions.
  6. Support the development of a best practice modelling culture within the bank.
We need you to have
  1. A higher qualification in a mathematical or computer science field (MSc or above) or equivalent experience.
  2. Significant experience in machine learning, engineering, and AI modelling techniques, including Generative AI.
  3. Ability to independently develop and review modelling methodologies.
  4. Strong statistical knowledge.
  5. Experience with model development and validation in areas like Fraud and Financial Crime.
  6. Expertise with Python programming.
  7. Advanced knowledge of data science and data mining methodologies.
  8. Excellent data presentation and report writing skills, ideally for a Model Risk Committee.
  9. Sound decision-making and critical thinking skills, with high accuracy standards.
It's a bonus if you have but not essential
  • Good knowledge of SAS programming.
Red Hot Rewards
  • Generous holidays - 38.5 days annual leave plus options to buy more.
  • Up to five extra paid well-being days per year.
  • 20 weeks paid, gender-neutral family leave (52 weeks total).
  • Market-leading pension.
  • Free private medical cover, income protection, and life assurance.
  • Flexible benefits including Cycle to Work, wellness assessments, and critical illness.

Benefits start from day one.

Interested?

If you're curious about this role, apply soon as we may close the advert early if interest is high.

We support flexible working and aim to help you Live a Life More Virgin.

About Virgin Money

We aim to be the UK's best digital bank, with over 180 years of heritage. We're customer-focused, innovative, and committed to making banking better for our customers. Join us to make a difference and Live a Life More Virgin.

Our Culture & Inclusion

We value diversity and inclusion, creating a workforce that reflects our customers. We are Disability Confident Leaders and support applicants with reasonable adjustments. We aim to be inclusive and fair in our recruitment process.

Legal & Compliance

Roles are UK-based, and successful candidates will undergo necessary checks, including credit, criminal, and references. Some roles may require additional regulatory checks.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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