Senior Data Scientist (Risk Modeller)

ADLIB

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

Bonus
Flexible work
London office
Remote work

Job summary

ADLIB is seeking a Senior Data Scientist with a passion for building risk models. The role centers on developing risk models from scratch, forecasting, and communicating results to leadership.

You will join a Risk Modelling Team, collaborating across functions in a matrixed environment and applying techniques to insurance, pricing, climate, asset and credit risk. You’ll be based in the London office three days a week with flexible remote work for the rest.

Qualifications

  • Strong background in risk modelling and using insights to inform business decisions.
  • Experience building risk models from scratch and enhancing existing ones.
  • Excellent skills in R, Python, or SAS.
  • Experience leading complex model updates with clear communication of outcomes.
  • Ability to present to stakeholders and translate risk issues into business applications.
  • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.).
  • Knowledge of model risk management.
  • Experience working outside regulated risk environments.
  • Desirable: Finance industry experience and exposure to ML/predictive modelling.

Responsibilities

  • Model development, enhancement, and forecasting for risk across environments.
  • Collaborate within a Risk Modelling Team in a matrix environment.
  • Communicate outputs clearly to stakeholders.
  • Work across multiple risk areas and projects beyond highly regulated environments.
  • Bridge complex statistical techniques to actionable insights for stakeholders.

Skills

Risk modelling
Model development
Python
R
SAS
Stakeholder communication
Multi-risk types
Model risk management
Finance industry experience
Non-regulated risk environments

Tools

SAS

Job description

We’re looking for a Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact!

What you’ll be doing

This role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments. As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated. This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more. You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you?

What experience you’ll need
  • Strong background in risk modelling and using these insights to inform business decisions
  • Proven experience building risk models from scratch and enhancing existing ones
  • Excellent skills in R, Python, or SAS
  • Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes
  • Ability to present to stakeholders and translate risk issues into business applications
  • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.)
  • Knowledge of model risk management
  • Experience working outside regulated risk environments
  • Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling
What you’ll get in return

Up to £70,000-90,000 base salary, plus a strong bonus and a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time.

What’s next?

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