Analytics Engineer

The Fidelis Partnership; City Of London; On-site; GBP 65,000 - 90,000; Full time

Job summary

The Fidelis Partnership in London is seeking an Analytics Engineer to join the Actuarial and Underwriting Analytics team. You will own and develop an analytics suite to support 90+ underwriters and collaborate with the Data team during a new data architecture rollout.

The role emphasizes data modelling, data pipelines, and storytelling with data visualizations, using SQL, Python and Power BI. It requires initiative, strong stakeholder engagement, and the ability to translate complex insurance

Qualifications

• Advanced degree in Statistics, Computer Science, Mathematics or related field.
• Expert programming and data manipulation skills using SQL and Python.
• Strong data visualization skills with Power BI.
• Experience in Insurance processes, pricing, reserving or underwriting.
• Ability to work with stakeholders across the company.

Responsibilities

• Own and develop analytics suite for Actuarial and Underwriting teams.
• Collaborate with Data Engineers and Data Analysts on new data architecture.
• Identify analytical problems and propose data-driven solutions.
• Create data-driven stories and visualizations to communicate insights.
• Document processes and enable training across the team.

Skills

SQL

Python

Power BI

Stakeholder management

Education

Advanced degree in Statistics, Computer Science, Mathematics or related field

Tools

Power BI

Job description

Please note, this role is 5 Days a week in the office

We’re looking for a passionate Analytics Engineer to join our Actuarial and Underwriting Analytics team. This team leverages technical expertise in actuarial modelling, statistical analysis, and risk management solutions to support a high-impact team of 90+ underwriters. The Actuarial team works seamlessly with Underwriting to help the company stay ahead in the ever-changing insurance market.

In this commercial role, you will own and develop a forward-thinking analytics suite to elevate the Actuarial and Underwriting teams and help answer Fidelis’ most difficult business challenges. You will work closely with the Data team as the company implements a new data architecture.

Core Duties and Responsibilities:

• Be a strategic partner to the Underwriting team: Helping to identify critical analytical problems and find innovative solutions with data.
• Bring fresh insight into a progressing space, identifying the key issue to solve for, and how to unearth the metrics that will inform key business decisions.
• Understand and take ownership of our business processes, and recommend improvements in data management, error identification, quality control, or process automation.
• Ensure best practice and process documents are created to support training across the team
• Collaborate with Actuaries, Underwriters, Data Engineers and Data Analysts to conduct analyses and apply statistics to answer specific day-to-day questions or support larger initiatives.
• Develop data-driven stories to answer some of the toughest questions in insurance through data visualization and the summarizing of insights in verbal and written form.

Qualifications, Skills and Experience:

• Strong knowledge of insurance processes and KPIs e.g. Pricing, Reserving and Underwriting practices
• Experience in Insurance Accounting, or familiarity with London Market specialty business lines for Insurance coverages and data.
• Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry experience.
• Expert programming and data manipulation skills using SQL and Python
• Strong data visualization skills and experience with Power BI is necessary
• Ability to develop relationships with key stakeholders both internal and externally across the Company.
• Demonstrated ability to thrive with minimal oversight and process. You connect the dots across business needs and independently drive projects forward.
• Experience building data modelling, building data pipelines and working with job scheduling systems is a bonus.
• Experience working with 3rd party APIs for data ingestion is a plus.

FIDELIS ETHOS

Our culture is defined by our ethos. It is the foundation of who we are and the core of

everything we do.

• Results – We want to be the best at the things we care about, so we focus on
• profitability over volume, with responsive decision-making and clear prioritised
• accountability.
• Innovate – We aspire to lead the market in providing the services and products our
• clients need, and to drive change in the broader impact our industry has on human
• rights, society, and environmental sustainability.
• Include – We create an environment where employees can bring their whole self to
• work, with open communication where everyone, irrespective of gender, ethnicity,
• sexual orientation or background, feels able to contribute ideas and be recognised and
• rewarded for their contribution.
• Unite – We operate as team of individual talents that actively seeks to reflect the
• diversity of the societies in which we operate, giving our business the widest range of
• inputs and perspectives.
• Respond – We work in a business exposed to sudden shocks and changes –
• elemental, political, economic and human – so we remain nimble and ready for
• change.

DIVERSITY AND INCLUSION

Our vision is for a workplace culture where differences are valued and where diversity of

background, experience and thought are welcomed. We believe that developing and

maintaining a diverse and inclusive organisation is critical to our success. Our hiring,

assessment and selection process must be fair, free from bias and one which ensures we

select the right person for the job, based on merit.

We welcome applications from all qualified candidates. To ensure that all candidates have a

fair opportunity to show their abilities during the recruitment process, adjustments may be

required. If your physical or mental health or disability may necessitate an adjustment, please contact [e-mail] to discuss. All information relating to your

health or disability will be treated in accordance with our data protection policy.