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    Client Solutions Analyst - London, United Kingdom - McKenzie Intelligence Services

    McKenzie Intelligence Services
    McKenzie Intelligence Services London, United Kingdom

    1 week ago

    Default job background
    Full time
    Description

    At MIS, the Solutions team are at the heart of what we do. Our product is focused on the insurance industry and in order to better support our clients, we hire the people who know the insurance industry best, and who demonstrate an interest in the market.

    Our CSAs are the contact point for all our insurance clients, providing technical assistance, enabling intelligence conversations, and supporting their day-to-day needs. Furthermore, they support clients in their interpretation and application of the award-winning MIS Intelligence. Internally, our CSAs collaborate closely with the Product and Intelligence team to ensure our products meet the high-standards expected by our clients.

    Areas of Key Responsibilities:

    • Design and perform insight analysis on the clients' exposure and claims portfolios on a regular basis.
    • Be responsible for all material being sent to clients (outside of the main intelligence portal).
    • Act as the voice of the client internally - this will involve working closely with the Head of Product on the Product Roadmap.
    • Support MIS Technical Development team as they continue to refine the core product, ensuring it meets client expectations.
    • Work closely with MIS Intelligence Analysts as they continually evolve the MIS Intelligence Grid, ensuring that any output is ready for client consumption.
    • Demo the product on a regular basis, and provide in-depth support to prospective clients, in support of the sales process.
    • Engage in client and market events such as conferences and industry programs.

    Our Mission:

    We are on a mission to revolutionise the Insurance industry's natural catastrophe claims processing time to deliver funds to those in difficulty via the use of an exciting mix of satellites, drones, machine learning, and human-led analysis.

    High-level technology at MIS

    We currently have a data pipeline (Python) processing continuous satellite imagery, drone flight imagery, weather information, and population movement data, and are looking to extend the sources for more accurate disaster planning scenarios.

    Our client facing web platform (React / TypeScript) is heavily relied upon during catastrophe events for the intelligence we create. Our geospatial searching needs cater for the current use cases, but we want to expand to more robust data ingestion and analysis geo-queries.

    Our values are:

    • Innovative – innovation is at the heart of all we do. We push the boundaries of possibility to create meaning and value.
    • Trusted – we provide truth during confusion and can be counted on to deliver when it is needed the most for our clients, our partners and each other.
    • Collaborative – we work together, we cooperate, we share knowledge. We support each other, our clients and our partners.

    This is what you should expect if you hit 'apply':

    • Phone call with our People Manager, Charlie Robson
    • 1st interview with our Senior CSA, Matt Patience, and CPO, Rosie Smith
    • Final interview with out COO, Will Bonner

    Requirements

    We are looking for someone who has:

    • Demonstrable experience of the London Market and Lloyd's of London process or large international (Re)insurers.
    • Understanding of insurance processes relevant to the product (i.e. exposure management, claims, underwriting, broking)
    • Ability to deliver high-quality analytical output.

    Must have:

    • Degree or equivalent in a scientific discipline.
    • Operate with an innovative mindset when finding client solutions whilst maintaining a keen eye for detail.
    • Have experience holding technical conversations with a variety of technical and non-technical stakeholders.
    • Competent user of Microsoft Excel or similar.

    Desirable

    • Familiarity with Geospatial Information Systems (GIS).
    • Working knowledge of the main exposure management dataset formats.
    • Have the desire to work in a scale-up organisation.
    • Have a passion for geospatial and location data.
    • Coding experience (primarily SQL, but languages such as R and Python also beneficial)

    Benefits

    • £40-50k, exp. dependent
    • Hybrid role, usually Tues-Thurs in office
    • 25 days of annual leave (where 3 during Christmas stand down) + UK bank holidays
    • Private health insurance
    • Wednesday Lunch Club allowance
    • Extended maternity/paternity policy
    • Sick pay beyond SSP
    • Training budgets, including ACII
    • Regular team socials
    • Employee option scheme (subject to approval and qualifying period)
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