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MI Analyst, Actuarial Systems

Lloyd's

London

Hybrid

GBP 35,000 - 60,000

Full time

30+ days ago

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Job summary

An established industry player is looking for an MI Analyst to enhance data capabilities and support actuarial projects. This role involves developing and maintaining systems, processes, and reporting to ensure data accuracy and reliability. You will work closely with data scientists and engineers, utilizing your analytical skills and Python expertise. Join a forward-thinking company that values diversity and inclusion, offering a flexible working environment and numerous benefits to foster your professional growth. If you're passionate about data and innovation, this opportunity is perfect for you.

Benefits

Flexible working arrangements
Generous pension
Healthcare
Wellbeing programmes
Financial support for training
Employee recognition scheme
Employee discount schemes

Qualifications

  • Experience in Python development or a strong potential to learn.
  • Proficiency in SQL and analytical skills are essential.

Responsibilities

  • Develop and enhance MRC reports and processes using Python.
  • Support actuarial teams and assist in predictive analytics projects.

Skills

Python
SQL
Data Lake knowledge
Analytical skills
Microsoft Office

Tools

GitHub
Excel

Job description

Lloyd’s is the world’s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market’s brightest minds, working together for a braver world.

Our role is to inspire courage, so tomorrow’s progress isn’t limited by today’s risks.

Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that’s more sustainable, resilient and inclusive, you’ll find a home at Lloyd’s – build a braver future with us.

Lloyd's is seeking to recruit an MI Analyst Actuarial Systems. The role holder will primarily assist the Manager, Actuarial Data and Systems to improve the efficiency and reliability of the data capabilities within the team by developing and enhancing systems, processes and reporting. Additionally, the role holder will be required to assist the team’s data scientists in their analytical projects.

The Corporation of Lloyd’s oversees and provides services to support the Lloyd’s market and promotes Lloyd’s around the world.

Market Reserving & Capital (MRC) is the actuarial department in the Corporation and is responsible for market oversight as regards monitoring the adequacy of reserves and capital at syndicate level, and for the calculation of capital requirements for members and the Central Fund.

The responsibilities of MRC require significant volumes of data for which they must attest the accuracy, completeness and appropriateness. This role is a leading part of the maintenance and analyses of these datasets.

Principal Accountabilities
  1. Develop and enhance MRC reports and processes.
  2. Use Data Lake to manage MRC data.
  3. Develop and maintain Python scripts, using GitHub for version control.
  4. Develop and maintain our suite of dashboards.
  5. Gather and analyse the data required for the projects and ad-hoc tasks including performing gap/impact analysis in Excel.
  6. Provide support to the actuarial teams as well as wider Lloyd’s departments as required.
  7. Provide assistance to the Lloyd’s Internal Model team with the use of Lloyd’s coding packages.
  8. Assist the team’s data scientists and engineers in predictive analytics projects.
  9. Understand the datasets used by MRC.
  10. Assist in the collection and management of key MRC data sets from the market. Assist in the validation process of these key data sets, including communicating issues to the market.
Skills Knowledge and Experience
  1. Python or the clear potential to develop Python skills.
  2. SQL or Data Lake knowledge.
  3. Microsoft Office.
  4. Analytical skills.
  5. Apply sense-checking to expectation of output.
  6. Proactively spot and raise issues which may mean deadlines are not met.
  7. Assist others with queries within own work area.
  8. Adapt style of communication to different audiences.
  9. Proactively recognise needs of wider team and adapt work undertaken appropriately.
  10. Used to suggesting new, practical ways of engineering existing processes within own work areas, including the adoption of new technology.

Diversity and inclusion are a focus for us – Lloyd’s aim is to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development. You can read more about diversity and inclusion on our website.

We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education & development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.

By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.

Should you require any additional support with your application, or any adjustments, please click the following link:

https://cleartalents.com/apply/lloyds-msa1645695881

Please note, clicking on this link does not register your application for the vacancy.

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