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Portfolio Lead Manager – 29127

The Emerald Group

City Of London

Hybrid

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

A leading insurance firm in London is seeking a candidate to manage overall portfolio performance while meeting contractual loss ratio targets. The role involves designing and implementing strategies, leading risk model deployments, and utilizing tools like SQL and R for performance measurement. The ideal candidate has a strong grasp of pricing model techniques and experience in actionable plans for loss ratio forecasting. Hybrid working model offered.

Qualifications

  • Proficient in SQL and R.
  • Good understanding of pricing model techniques.
  • Experience forecasting loss ratio performance.

Responsibilities

  • Take ownership of portfolio performance.
  • Design and implement interventions to improve results.
  • Lead deployment of new risk models.
  • Build and maintain clear MI and dashboards.

Skills

SQL
R programming
Portfolio performance measurement
Pricing model techniques
Machine learning
Job description

Own overall portfolio performance to deliver the contractual loss ratio target agreed with their underwriting capacity partner

  • Location: London/ Hybrid working
  • Type: Permanent

Key Duties (Including but not limited to):

  • Take end-to-end ownership of portfolio performance; monitor and explain loss ratio drivers by accident year, underwriting year, cohort and month
  • Design, prioritise and implement interventions using pricing, product and underwriting levers to improve results
  • Lead deployment of new risk models into live; assess pre/post impact and ensure robust change control and documentation
  • Build and maintain clear MI and dashboards (e.g. AP/TP ratio, risk mix index, actuals vs estimates) to support timely decisions
  • Strong grasp of portfolio performance measurement: AP/TP ratio, risk mix index, actuals vs estimates, loss ratio by time period and segment
  • Proficient in SQL and R; comfortable working in proprietary systems and “in the engine room”
  • Good understanding (ideally hands-on) of pricing model techniques, including GLMs and machine learning, and how to operationalise models in live
  • Experience forecasting loss ratio performance and steering a portfolio via actionable plans
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