LexisNexis Risk Solutions UK Limited
2022 UK GENDER PAY GAP REPORTINTRODUCTION
Under UK legislation (the Equality Act 2010 (Gender Pay Gap Information) Regulations 2017), companies with
250 or more employees in Great Britain are required to publish specified UK gender pay gap statistics.
LexisNexis Risk Solutions UK Limited is a UK employing entity of Risk, a global business which provide data andadvanced analytics solutions.
LexisNexis Risk Solutions UK Limited employs around 600 people in Great Britain, representing approximately
5% of Risk’s global employee population. This report for LexisNexis Risk Solutions UK Limited is published inaccordance with the UK legislation.

THE UK GENDER PAY GAP REPORTING REQUIREMENTThe UK gender pay gap is different from equal pay. The UK gender pay gap measures the overall difference
between the average pay received by men and the average pay received by women in a workplace. It therefore
reflects the different number of men and women at varying levels of seniority and doing different roles. The UKgender pay gap does not measure or compare pay in like-for-like roles. By contrast, equal pay is a legal
requirement in the UK to pay men and women the same for equal or similar work. LexisNexis Risk Solutions UK
Limited is committed to equal pay and has policies in place to pay employees fairly for the role they do,irrespective of their gender. A UK gender pay gap can exist despite men and women being paid equally for thesame or similar roles.
The reason for the total pay gap at LexisNexis Risk Solutions UK Limited is that there are more men than womenin senior roles, which are higher paid roles, and more women than men in lower paid roles, as illustrated by thepay quartile statistics below. Many factors contribute to this. For example, as a growing information and analytics
business, LexisNexis Risk Solutions UK Limited relies on talent with technology and analytics skills and thosewith industry expertise in sales and product management. These functional areas currently include more men
than women.
The bonus pay gap statistics reflect the fact that opportunities to receive performance-related pay (for example
annual and share-based incentives and sales commission) increase with seniority and the more senior thepopulation, the higher the proportion of men to women.

THE ACTIONS WE ARE TAKING GLOBALLY
LexisNexis Risk Solutions is committed to creating a diverse and inclusive workplace. To learn more about ourpolicy and initiatives, including our efforts to increase representation of women in senior roles, please click here.

THE UK GENDER PAY GAP INFORMATION FOR LEXISNEXIS RISK SOLUTIONS UK LIMITEDPay Quartile% ofmen% ofwomenMedian total paygap per quartile

Mean total pay gap

23.3%

Upper

73.0%

27.0%

3.1%

Median total pay gap

21.3%

Upper Middle

71.7%

28.3%

0.9%

Lower Middle

59.5%

40.5%

-4.2%

% of men receiving bonus pay

85.9%

Lower

54.1%

45.9%

4.8%

% of women receiving bonus pay

78.1%

Mean bonus pay gap

44.4%

Median bonus pay gap

54.3%

I confirm that the information and data provided in this report is accurate and in line with the UK legislation.
Katherine Lunn, EVP Human Resources and Corporate Services.
Notes
1
The pay quartiles show the gender distribution across LexisNexis Risk Solutions UK Limited. Each pay quartile contains a quarter of the total LexisNexis RiskSolutions UK Limited employees, who were ranked from highest pay (upper quartile) to lowest pay (lower quartile).
2
The total pay gap is based on employees’ hourly rate of pay, calculated using their ordinary pay and any bonus pay received in April 2022. Ordinary pay
includes regular pay (e.g. base salary and allowances). Bonus pay includes all types of incentive pay (e.g. annual bonus, commission, share‐based award
payout and option exercises).
3The proportions of men/women receiving bonus pay and the bonus pay gap are based on bonus pay received in the 12 months to 5 April 2022.
4

The mean is calculated by adding up the values and then dividing by the number of values.
The median is found by listing the values in order and finding the middle number in the list (or, if there are equal numbers, the mean of the two middlenumbers).
5