Catastrophe Modelling Analyst - Property

at  MS Amlin

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate19 Sep, 2024Not Specified20 Jun, 2024N/APython,R,Teamwork,Coding Experience,Air,Sql,Management SkillsNoNo
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Description:

Role: Catastrophe Modelling Analyst - Property
Location: London - Hybrid
Position type: Full time, permanent
The Exposure Management team plays a vital role at MS Amlin in understanding, advising, and reporting on the level of risk being written by the business. It’s a stimulating environment where colleagues use sophisticated modelling and analytics, as well as their expertise in natural and man-made hazards, exposure, and financial terms to partner with underwriters and other stakeholders on business decisions. Outputs from the team are fundamental to determining prices, fulfilling capital requirements, and setting risk appetites.
Within Exposure Management, the Insurance Catastrophe Modelling team use exposure management systems and catastrophe models, to provide analysis on MS AUL’s catastrophe risk for direct insurance classes so that Executives and Underwriters are informed to make the best possible decision making to achieve overall profits and targets. As a member of the team, you have an opportunity to work on challenging problems in a collaborative team, whilst developing your own knowledge and career.
About The Job

Inter-business relationships

  • Bring clarity, transparency and understanding to the users and clients of property and specialty modelling, and analytics
  • To be a key point of contact for underwriters and other stakeholders, with queries relating to the pricing of accounts and portfolio roll-up
  • Maintain and grow sustainable relationships with the Underwriting, Claims, Pricing and Underwriting Performance teams, approaching conversations with the ability to challenge and with a continuous improvement mindset
  • Assist with client and broker relationships, with the ability to deal with enquiries in an efficient professional manner

Analytics and modelling

  • Conduct exposure capture and modelling of pricing and portfolio risks, and provide peer review for high complexity risks captured and modelled by Genpact, to enhance our underwriting capabilities on all open market and delegated pricing, and portfolio requests, by the required deadlines
  • Review, provide oversight, and input on reports created by and activities carried out by Genpact, providing direction dependent on business requirements
  • Drive and guide analysis conducted by Genpact for quarterly roll up and reporting
  • Perform proactive portfolio optimisation and other value-add modelling tasks such as, supporting Senior Analysts in developing and maintaining models to aid underwriting decision making; identify patterns and potential anomalies within data; assess and project risk exposure; supporting coordination of event response; and support on project work/ initiatives as required (including support to Reinsurance)

Strategy, Reporting and Governance

  • Undertake internal and external reporting activities for submissions
  • Assist Senior Analysts in the design and implementation of risk management strategies, ensuring alignment with business goals
  • Support governance activities, including assisting Senior Analysts in gathering information for decision focus

Compliance and Risk Management

  • Conduct role in accordance with the Company’s Business Ethics policy and all regulated entities as appropriate
  • Assist with ensuring that the portfolio and the risks underwritten are compliant with all the relevant risk, regulatory and legal requirements, and are aligned to business goals.

What you’ll need

For this particular role there are some important qualifications and experience we need you to have. These include:

  • Established experience in catastrophe modelling
  • Extensive experience of RMS RiskLink is essential
  • Experience in modelling Direct Property and/or Delegated Authority business is desired
  • Experience of AIR would also be beneficial
  • Coding experience in SQL highly desirable, and skills in R and Python would be useful
  • Experience using PowerBI is highly desirable
  • Good understanding of insurance terms and conditions is essential
  • Wider industry knowledge useful
  • Good pricing and portfolio management skills, including roll-ups
  • Ability to convey complex modelling concepts to non-modellers
  • Good communicator who is able to interact with underwriters
  • Teamwork and relationship building skills

What you can expect from us

A competitive salary and benefits package is a given, but you can also expect:

  • A great team and supportive colleagues
  • An open mind (especially to new ideas and ways of doing things)
  • A strong focus on diversity, inclusion, and equal opportunities
  • A programme of wellbeing and mental health support
  • Employer-supported volunteering (ESV)
  • Continuous learning
  • Study support
  • Structured career development.

About MS Amlin
MS Amlin is part of a global top-10 insurance group, MS&AD. We’re made up of four distinct businesses covering global reinsurance, Lloyd’s franchise, local specialty insurer, and business services.

Responsibilities:

  • Established experience in catastrophe modelling
  • Extensive experience of RMS RiskLink is essential
  • Experience in modelling Direct Property and/or Delegated Authority business is desired
  • Experience of AIR would also be beneficial
  • Coding experience in SQL highly desirable, and skills in R and Python would be useful
  • Experience using PowerBI is highly desirable
  • Good understanding of insurance terms and conditions is essential
  • Wider industry knowledge useful
  • Good pricing and portfolio management skills, including roll-ups
  • Ability to convey complex modelling concepts to non-modellers
  • Good communicator who is able to interact with underwriters
  • Teamwork and relationship building skill


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Financial Services

Banking / Insurance

Finance

Graduate

Proficient

1

London, United Kingdom