KDR Talent Solutions

How to create a modern EVP and align it to your Recruitment Process: A five point approach. A strong Employer Value Proposition is a valuable addition to any business. Research from Gartner shows that 65% of candidates they surveyed had pulled out of a recruitment process because of an unattractive EVP. If this is a more widespread sentiment, outside of the respondent sample Gartner ran the study for, then organisations really can’t afford to let this slip. From a recruitment business perspective, it is obvious to us when a client has a great EVP versus one that doesn’t, and we have helped businesses refine these to help make them an employer of choice. Once you have one, how can you use it to help with the hiring process? Here we look at what makes a great EVP and how to align it to the recruitment process to help increase hires and then retention of great talent to your business. What makes a great EVP? Since the pandemic it has become apparent that people’s needs are chan...

In this article, we’ll take a look at some of the latest trends in data science that are shaping the future of this field. With advancements in machine learning, artificial intelligence, and cloud computing, data science has become an increasingly important tool for businesses and organisations of all sizes. The ability to collect, analyse, and interpret data has never been more vital, and as a result, data science has become one of the most in-demand skills on the job market. One of the biggest trends in data science today is the increased focus on Explainable AI (XAI). XAI refers to the ability to understand, interpret, and explain the decision-making processes of AI systems, and it is becoming increasingly important as AI is used in areas such as healthcare, finance, and the criminal justice system where transparency and accountability are needed. This trend is expected to grow even more in the coming years, as organisations and governments around the world look for ways to ...

Taken from our annual survey of community members and the State of Data and State of Technology Reports, the following trends will help you to formulate your hiring strategy. The current market dictates that candidates have more choice around which roles they want When there is more choice, the perception from the hiring side can be that there is a candidate-short market. However, this is not necessarily the case. Our experience is that there is an abundance of people with the right skill sets for client roles. The issue is instead around engagement. Because people are being contacted, sometimes multiple times a day, about new roles, they are not engaging at the levels they once did. What can hiring clients do to mitigate this? Now, more than ever it is important to get your employee proposition right. Candidates are looking for remote and hybrid work environments primarily. Benchmark your salaries to ensure they are competitive – speak to your recruitment partner who will be ab...

If you work in financial services, you’ll know that “data governance” has become the backbone of compliance If you work in financial services, you’ll know that “data governance” has become the backbone of compliance, customer trust and competitive advantage. Yet across the UK, banks and insurers are finding that while the need for governance expertise has grown, the supply of qualified talent simply isn’t keeping pace. So why exactly is demand for data governance professionals rising so sharply and what can organisations do to secure the skills they need? Why Data Governance Matters More Than Ever Financial services firms are under pressure from every angle. Regulators like the FCA expect robust data governance frameworks, while GDPR and other global standards have raised the bar on compliance. For firms that get it wrong, the consequences include eye-watering fines and reputational damage that can last for years. But governance isn’t only about risk management. Companies wi...

It’s been a big year for synthetic data. With the FCA’s Synthetic Data Expert Group (SDEG) publishing its final report, it’s clear we’re moving beyond experimentation and towards adoption particularly within regulated environments like financial services. But with progress comes pressure. How do we ensure synthetic data is not only powerful but safe, transparent and fair? For those of my network working in data governance, quality, ethics and risk, this report offers both cautionary insights and practical direction. What’s the Point of Synthetic Data? At its core, synthetic data aims to mimic real datasets, preserving statistical patterns while stripping out personal or sensitive information. In financial services, this unlocks a few big opportunities:    Enabling secure model development without exposing real customer data   Testing systems under various stress scenarios   Supporting innovation where data is limited or legally constrained   Trai...