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This is a rare an exciting opportunity for a talented predictive modeller to join a leading FinTech currently becoming one of the fastest growing companies in Europe. If you're looking to work with large sets of data and want to mould fast paced solutions for the real team service then this role is offering a breath of fresh air in the market.
As a Senior Credit Risk Modeller you will be involved in building predictive models, searching for trends and patterns to help automate credit approval and fraud detection. This is a chance to work with SAS, R or Python with huge transactional data sets to build and improve models for a real time underwriting service. On top of that you will work closely with Credit Risk colleagues to evaluate and respond to future model requirements and provide insight when requested. This is a highly technical role that will give you the opportunity, once having completed more BAU predictive modelling to get involved in exploratory analysis to better serve the company.
YOUR SKILLS AND EXPERIENCE
This is an exciting role with high expectation so the successful candidate will likely have the following:
WHAT DOES THIS ROLE OFFER?
This is an opportunity to be part of a company who are only just beginning a world expansion, and who will soon be on the forefront of innovation in the space. Due to the strength of the team thus far, no matter what experience you have thus far, you'll be given a huge amount of opportunity to learn and develop int he role both from a commercial and technical side. Although based in London, should you wish, this opportunity does offer the chance to travel to Europe and the US to other offices and work along side their predictive teams to discuss how to create the best models in the industry.
HOW TO APPLY
Please submit your CV to Sam Maughan at Harnham via the Apply Now Button.
£50000 - £60000 per annum
Do you enjoy tackling some of the most exciting and challenging Big Data problems in the industry and building large-scale technology solutions?
£50000 - £60000 per annum
Are you a Java enthusiast who is looking to grow their skill set while adding value and previous expertise to an Engineering team?
£70000 - £850000 per annum
Are you wanting to use your expertise to help shape the Pricing function at one of the largest banks in UK?
US$70000 - US$120000 per annum
District of Columbia
As a Research Scientist you will be analyzing complex data sets and improving the lives of people in extreme poverty around the world
US$110000 - US$135000 per annum + bonus and full benefits
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Following our recent Data & Analytics meet-up at our new Berlin offices, I’ve been reflecting on some recurring challenges faced in our industry. A number of our speakers all touched on the same topics and, having looked around, it seems they aren’t the only ones who are concerned about staying ahead of the curve. In a market of constantly shifting priorities and 2020 just around the corner, I’ve highlighted some of the main themes that keep coming up, and are worth bearing in mind as you begin to look at your Data & hiring strategies for next year: Retention Retention remains a highly important issue for businesses, as covered here, and we heard a number of insightful talks on the topic at our event. In particular, both the optimisation of workloads and the essence of customer centricity and autonomous teams were highlighted as key issues. Both providing interesting approaches to ensuring your workforce remains engaged and happy and we will be releasing further information on these talks soon so, if you missed the event, watch this space or sign up to our mailing list to keep up to date. Cyber Security Following a number of high-profile data leaks (including the sensitive data belonging to hundreds of German politicians, celebrities and public figures less than one year ago), security really is at the forefront of everyone’s minds. Integrating Security into the DevOps cycle is becoming more and more popular as businesses increase their security and reliability alongside their speed of deployment. If you're interested in knowing more, the Puppet “State of DevOps Report 2019,” is well worth a read. Analysing Data How we analyse and use Data as a business is becoming more and more important as enterprises look to stay at the forefront of their fields and remain relevant in this Data-centric world. With so many different technologies and techniques used to quickly process & analyse data, Data Science, Machine Learning & Business Intelligence professionals are becoming more and more sought after. Recruiting & onboarding The recruitment and retention of staff is frequently the most important thing on the agenda of many businesses, not just in Data. Making sure your recruitment process in a candidate-led market is as streamlined and relevant as possible is something that should be a priority for any expanding business. From my experience, many companies write up their process, then stick with it for years and, whilst this can create consistency, in such a fast-paced and evolving industry is this necessarily the right thing to do? Here's one of my colleagues on attracting the right candidates and I also intend to put together my own article on creating an effective Recruitment Process for your business next week. If you’re looking for support with your Data Science hiring process, get in touch with one of our expert consultants and we'll able to advise you on the best way forward.
23. October 2019
The role and purpose of Web Analysts has evolved over the last few years, and now there are a number of different types of candidate profile across the French marketplace. Whilst, traditionally, Web Analysts focused on Data pulled from websites before using their findings to make business recommendations on how to improve the site and streamline user experience. However, as, digital channels, including apps, social media and mobile devices have multiplied, the amount of Data available to gather insights from has increased dramatically. Web Analytics has become Digital Analytics as a result of the need to quantify and better understand customer behaviour regardless of the channel or device used. Across the world’s leading technology hubs, the role of the Digital Analyst is no longer to just relay insights from a company’s website, but to analyse different Data sources, work with complex technologies and tell stories with their findings. We’re now seeing the same evolution take place across the French market. Today's Web Analysts Throughout the era of digital measurement and optimisation tools, the use of AB tests and MVT tests has allowed Web Analysts to trial different online solutions for their enterprises. Nevertheless, until recently, these have remained centred on only one channel; the website. Over recent years, however, new categories of Analytics have now emerged, all of which need to be viewed as equally important: In-store Analytics: The measurement of physical store Data, a real-world equivalent of web analytics. Mobile Analytics: The analysis of users’ traffic and behaviour on mobile sites and applications. Social Analytics: The analysis of Data from social networks such as Facebook, Instagram or Twitter. As a result of this diversification, businesses are now not only looking for technical Web Analysts who can work with Google Analytics or Adobe Analytics and implement tags with GTM or DTM. There is now an appetite to go further and deeper with their analysis and Web Analysts who can use tools such as Big Query/ SQL, R or Python are high in-demand. A candidate with ‘Data Web’ vision, a strong knowledge of Data and KPIs in different business models, stands out amongst ever-increasing competition. Furthermore, as Web Analysts use a lot of Data, particularly personal Data, a strong knowledge of GDPR and the legal implications of their work are also incredibly beneficial. In other words, Web Analysts are becoming more versatile. No longer siloed to their own space, Web Analysts should have experience of collaborating with marketing and technical teams, as well as to top management and senior stakeholders. Tomorrow's Web Analytics With this progression of Analytics tools and skillsets, Digital Analysts are now playing a more important role in businesses than ever before. As they continue to present new ways of interpreting and visualising Data, their impact on the bottom line is being felt more significantly than ever. As a result, Web Analysts are now open to significantly more professional opportunities. Specifically, if they have a strong technical skillset and a business mindset, they can move into a Digital Business Analyst or Data Scientist position. This means that the best candidates are in incredibly high-demand and businesses need to be sure of what skillset they need before beginning a recruitment process. For example, a company recently going through a big change in tools migration, such as moving from Adobe to GA, would be in need of a strong technical Web Analyst who can implement those tools. A business that is further down the line with their capabilities, on the other hand, may be looking for a candidate with a real business vision, in additional to an analytical skillset, who can make informed business recommendations. Whilst the French market may be in transition, we’re already seeing these changes take place in other regions. In the UK, there is a large amount of conversation around ‘Digital Intelligence’, and Web Analysts are now beginning to be viewed as important as Data Scientists within many leading organisations, partially because these roles are overlapping more and more. In fact, the lack of appreciation for Web Analysts in France is a point of contention for many candidates, something that was discussed frequently at this year’s MeasureCamp Paris. Businesses who are looking to hire, and retain, Web Analysts need to be aware of this mindset. Candidates often share their apprehensions around the lack of training offered within their companies, as well as concerns about investment in their area. As Web Analysts continue to upskill, enterprises need to make sure they continue to offer growth, opportunity and a good working environment, particularly if they are seeking domestic talent. Whether you are looking to expend your Web Analytics function or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expect consultants to find out more.
10. October 2019