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Risk Analyst (Fraud)
£28000-£37000 + Benefits
An exciting opportunity for an experienced Fraud Analyst to join a talented team responsible for prevention and detection of multi-channel fraud. From the offset, you will be tasked with analysing and reporting on recently implemented Fraud Strategies as well as advising on improvements to model accuracy to produce cost savings, but you will also play a central role in implementing new and exciting projects in an exciting period where the team is undergoing an evolution in responsibilities. SAS is being implemented so this could be a great opportunity to learn/build on SAS skills while deepening understanding of Fraud and Credit Risk methodologies (SQL, Business Objects required).
One of the major players in the niche market that offers credit options for online spending. They have ambitious plans for growth including introducing new products and expanding existing portfolios. The Fraud team itself is expanding its functions and responsibilities so you should expect to grow in the role and be central to new projects from their birth. This will allow you to play an important role in these projects and, in turn, in the future success of the company.
Maintain Fraud Systems and Strategies with the use of SAS, SQL, and Business Objects
SKILLS AND EXPERIENCE:
Strong Business Objects, SQL, SAS, or similar
HOW TO APPLY
Email your CV or use the apply feature on this page
£55000 - £75000 per annum + bonus, pension, health insurance
A growing forensic data team are looking for an experienced Sanctions Manager with an aptitude for data, analytics and technology.
£50000 - £65000 per annum + competitive bonus + benefits
A fantastic opportunity to join a fast-growing team. If you're skilled in SQL, SAS, and Python, this is a great opportunity for an impactful role from day one.
£47000 - £55000 per annum + bonus, benefits
A top-tier consultancy firm is seeking an analytical consultant with a passion eDiscovery technologies.
£60000 - £75000 per annum + pension, car allowance, insurance
The opportunity to help drive a new data-focused financial crime team at a leading international bank.
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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Risk Analytics has been an integral part of teams across several industries for years. After the 2008 financial crash, whereby $8 trillion was wiped from the stock market’s value in the space of two days in the US alone, the need for businesses to be savvier and more ‘switched on’ to the potential downturns and crises the economy may face was imperative. The kind of devastation the financial crash caused in a matter of days had knock-on effects to businesses of all shapes and sizes for years afterwards, and nobody could risk the same level of destruction again. For a long time prior to this key event, it wouldn’t be an exaggeration to suggest that a lot of business owners and C-Suite executives depended on gut instinct to make critical business decisions. But, as we began to enter not only a more economically turbulent time but also an era that became dominated by technology, the need for hard evidence to support ‘intuition’ was crucial. With endless reams of data now at our fingertips, which has only evolved in reliability and accessibility over the decades, companies’ ability to manage risk-related issues through state-of-the-art technologies and tools is changing. And because of the capabilities of said technologies, companies are now able to look further than just financial risk; competitor risk, supply chain risk, technical risk, these are all everyday examples of where Risk Analytics come into play. It’s clear Risk Analytics is a crucial part of businesses today, and its importance will continue to take centre stage as we move into an even more technological and data-driven era, but where do you begin if you’re considering becoming a Risk Analyst? Are you the right fit for the job? You need to be sure that risk analysis is truly for you. As with any job, skills are something that can built upon, but a good attitude, willingness to learn and some core characteristics will set you up in good stead too. Risk Analysis suits individuals with a keen eye for detail and are unafraid of spending time going through data with a fine-tooth comb to unearth any anomalies that could present themselves as serious risks later down the line. A love of and proficiency with numbers will also be a brilliant asset to bring to the role, along with an interest in data analysis. While most of the job will most certainly be dealing with the hard facts and figures, you’ll also need to be someone who is comfortable with communicating in an open and jargon-free manner. Ultimately, you’ll be responsible in not only identifying potential risks, but feeding the information back to members of the team who have no prior knowledge of data and analytics, as well as giving them viable solutions to avoid or reduce any risk where possible. That sounds like me, what’s next? Great! So, if you think you’ll be a perfect fit, the next step is to think about which route you want to take to get your foot in the door. As per a lot of Data & Analytics roles in this day and age, a university degree isn’t necessary, but it is still favoured amongst many employers. Nevertheless, just because you don’t have a degree doesn’t mean you won’t be considered, so keep your options open. Diplomas or online study courses are two other brilliant avenues to take as well. Of course, if you’re a total whizz, you may have a lot of skills and knowledge on a self-taught basis which is fantastic. Before applying for a job in Risk Analysis however, make sure you have some extra-curricular learning under your belt to showcase your initiative and drive to learn. Do I need to have experience? Much like university, while not a mandatory requirement for all Risk Analysis jobs, having work experience within your portfolio will put you a significant step ahead to your peers who may not have had that hands-on learning. Do I need to know how to code? Analysts who code will always be in demand, and the sharper and more on top of those skills you are, the better. Different employers will work with different languages, but the most common are Python, SAS, C++ and Java. Ensure you’re always learning too. Code is an element of all Data & Analytics roles that is always evolving, and employees who fall behind in their knowledge will very quickly see a drop in their ability and productivity. What can I expect from a role in Risk Analytics? Each day in this role will be completely different. The challenges you may come up against will change rapidly, especially if you are based in a fast-moving sector such as Finance or Banking. You’ll need to be prepared to work under pressure and showcase impeccable problem-solving skills. At entry level, you can expect to be taking home a salary of around £20,000, or just over $60,000 in the US. For those who show eagerness to learn, initiative and determination to always better their understanding of risk analysis, progression opportunities are vast here too. With the right attitude and mindset, reaching the top of the career ladder can see employees earning in the remit of £75,000+ / $191,000+. Risk Analytics in an incredibly exciting role, and the demand for highly skilled analysts will undoubtedly continue rising, especially as we recover from the pandemic and companies look to implement firmer, more grounded, risk-management procedures in place. If you would like to learn more about Risk Analytics, take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
20. May 2021
The majority of the human population are visual learners. Our brains are wired in such a way where we can register 36,000 visual messages per hour, and visuals are processed 60,000 times faster than text. In short, one of the best ways to truly assimilate and understand new-found knowledge is through clear and digestible imagery. Because of this valuable insight, we are now witnessing the fast-growing trend of Data Visualisation. Over the next six years, the value of Data Visualisation tools is expected to reach $19.2 billion, over double what it was in 2019. Data & Analytics is one key area where data visualisation is used continuously. The raw data collected on a daily basis by Data Analysts can be incredibly time-consuming to sift through, not forgetting near-impossible to form palatable findings from. However, through the use of data visualisation tools such as graphs, heat maps, charts and infographics, confusing, text-based data can be transformed and brought to life. So, how can Data Visualisation help your business? Greater understanding of your data As Lydia, our Senior Recruitment Consultant, stated in her most recent article – data insights have the capability of not only improving decision-making, but also allow you to spot key trends, errors and predict future challenges. Nevertheless, all of these brilliant capabilities of data insights can only occur when teams can garner an in-depth understanding of the data being presented to them. Without a background in statistics, which very few members of any team would possess, the raw data simply wouldn’t mean anything, and key insights could be missed. Utilising data visualisations not only makes data more tangible, but it also allows every team member to understand the data, make decisions and implement changes more efficiently. Standing out from the competition The effectiveness of Data Visualisation is no secret, and time and time again it’s been proved that this way of presenting data is far more likely to produce results than simply reviewing text. Research within Analytics Insight reported that businesses using data discovery tools are 28 per cent more likely to find timely information compared to their dashboard-using counterparts, and 48 per cent of business intelligence users at companies with visualisation tools are able to find the information they need without the help of a specialist team. Nevertheless, despite the incredible benefits, only 26 per cent of businesses globally are using data visualisation tools. While the reasons for this slow uptake are varied, it’s clear that those companies who are willing to invest in Data Visualisation are far more likely to stand a head above their competitors. It can improve customer experience 98 per cent of companies will use data to help drive a better customer experience, but it doesn’t always mean that this data is collected, managed or presented well. Data is, and should be, used as a way to back up what brands are saying, especially if they’re shouting from the rooftops about how fantastic they are. When a business or brand uses accurate Data Visualisation to tell this story – for example, the percentage of consumers who report high levels of customer satisfaction, or the amount of money donated to CSR projects – audiences will respond much better than if the claim appears to be empty words without any evidence. Data Visualisation is undoubtedly one of the most effective ways to communicate data, both internally and externally. The comprehensible formats available enables information to be processed with ease, and for learnings and understandings to be absorbed and implemented with much more efficiency than text-based raw data. It’s clear that this trend is only going to grow in popularity as businesses begin to put more investment behind it in order to reap the benefits and watch the positive impact on their bottom lines prosper. For examples of how Harnham uses Data Visualisation, head over to our recent research reports. If you're looking to take the next step in your career or build out your Data & Analytics team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
13. May 2021