Portfolio Analyst

Canopius; City Of London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A global specialty lines (re)insurer in London is seeking a candidate for exposure management and catastrophe modelling. The role involves data analytics, programming, and producing portfolio roll-ups. Candidates should have a degree in STEM and experience with SQL, Python, and catastrophe modelling. This position offers competitive benefits and a hybrid working model.

Benefits

Hybrid working

Competitive base salary

Non-contributory pension

Discretionary bonus

Health and dental insurances

Qualifications

• Highly numerate with a degree in a STEM discipline.
• Understanding and interest in active portfolio management and catastrophe modelling.
• Experience of US insurance market and cat perils highly advantageous.

Responsibilities

• Assist in managing exposure accumulations across multiple carrier portfolios.
• Produce portfolio roll-ups using RMS Risk Modeller and Risk Link.
• Interrogate data and report trends or anomalies to stakeholders.

Skills

Data analytics

Programming languages (R)

Programming languages (Python)

Cat modelling experience

Strong technical skills in SQL

Geospatial analytical skills (GIS)

Education

Degree in a STEM discipline

Tools

RMS Risk Modeller

Risk Link

Job description

The Role

Timely and accurate exposure and accumulation management is critically important to Vave and to our carriers. In this role you will ensure that this is done and that our portfolios are built in line with plan to ensure that carrier risk appetites are satisfied.

You will be responsible for rolling up catastrophe exposed portfolios using a variety of vendor and internally developed applications reporting these exposures to internal and external stakeholders.

You will monitor incoming data to highlight and investigate trends and proactively feedback on these to the business enabling rapid and robust feedback of analysis into the pricing algorithm.

With skills in data analytics and programming languages such as R and Python you will be able to support process improvement and automation of workflows as we design and implement faster and more robust exposure management practices.

Responsibilities

• Assist the Vave Portfolio Manager in managing exposure accumulations across multiple carrier portfolios in line with their risk appetite
• Produce portfolio roll-ups using RMS Risk Modeller and Risk Link and a variety of internally developed tools
• Interrogate data flowing into Vave, proactively highlighting trends or anomalies and report on these to stakeholders
• Help to develop the portfolio management workflow of the future bringing in automation to improve the speed at which Vave can act on this information
• Work alongside the Analytics and Product team on ad hoc modelling and data requests
• Support pre and post catastrophe event analysis

Skills And Experience

• Highly numerate with a degree in a STEM discipline
• Cat modelling experience with a carrier, broker or MGA, ideally in US property
• Understanding and interest in the value add from active portfolio management and catastrophe modelling
• Strong technical skills in SQL essential with Python and R advantageous
• Experience in reporting on portfolio exposures to stakeholders
• Experience of US insurance market and cat perils highly advantageous
• Interest in catastrophe modelling and natural hazards
• Geospatial analytical skills (GIS) advantageous

The Company

At Vave we take the centuries old underwriting industry into the age of data and cloud computing by replacing traditional processes with frictionless real-time pricing, dynamic risk selection and portfolio optimization. We use the most up to date tech, leverage vast amounts of internal and external data and in-house developed algorithms. We are digital from the start and are not constrained by legacy systems and processes. We invest heavily in data science and new data sources to develop unique insights and algorithms powering our proprietary API-first underwriting platform.

Our product focus is US property, and natural catastrophe modelling is our home turf. Since beginning trading in 2019 we delivered 4 products to market and have algorithmically written over half a billion US Dollars of premium. We are continuously evolving and creating new opportunities to scale and innovate, and are now expanding our team to support the next round of growth. This is an amazing opportunity to join a dynamic fast-growing business.

Our Benefits

ABOUT US

We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health.

About Canopius

Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda.

At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.

Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.

We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds.

We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.