London / £40000 - £48000
£40000 - £48000
£40,000 - £48,000
Fast-paced innovative lending company is looking for a data-driven Fraud Analyst to drive the existing customer fraud strategies, working daily with SQL and Python.
A growing financial services company specialising in the lending space across cards, buy now pay later, and commercial payment platforms. Super tech-savvy, this company is committed to putting data analytics at the heart of its decision-making to respond to consumers best in an ever-changing market. The fraud team is using advanced analytics with Python to drive strategies and protect customers. They also boast one of the coolest offices in London!
- Analysing large datasets with Python and SQL to identify trends in transactional fraud
- Provide analytics to support strategic projects such as social engineering, and multi-factor authentication
- Work with third-party vendors such as ThreatMetrix, RSA, to build tailored data capture and analysis
- Report and present on changes in the fraud space, using visualisation tools
YOUR SKILLS & EXPERIENCE
- Strong SQL experience
- Commercial use of Python in a Fraud analytics role
- Tableau or Power BI is advantageous
- Ability to thrive in a fast-paced environment
Up to £48,000
1.5x pension contribution
10% on target bonus, potential to increase
25 days holiday
HOW TO APPLY
Please register your interest by sending your CV to Rosalind Madge via the Apply link on this p
As Incidents Of Cybercrime Increase, How Can A Fraud Analyst Give Your Business Peace Of Mind?
Whilst it’s true that cybercriminals are becoming more creative and sophisticated, as are analytical techniques and the experts that wield them. Fraud Analysts now have more techniques and reach than ever, and as incidents of cybercrime increase, this isn’t an area that businesses should be scrimping on.
According to PwC’s Global Economic Crime and Fraud Survey 2022, 46 per cent of organisations surveyed reported experiencing fraud or financial crime over the last 24 months and tech, media and telecommunications businesses appeared to have taken the brunt. Findings showed that nearly two-thirds of this group experienced some form of fraud, the highest incidence of any industry.
The ONS also recently released stats showing that fraud offences increased by 25 per cent in 2021 (to 4.5 million offences) compared with the year ending March 2020. Indeed, the proportion of these incidents that were cyber-related increased to 61 per cent up from 53 per cent.
The rise of cyber-fraud is a clear issue and for some businesses such as financial institutions, tackling this by using fraud teams made up of expert Fraud Analysts is the norm. But for others, it may not have been seen as a priority until recently. However, any business which has a growing number of online transactions will become a bigger target for fraudsters and would benefit from a team member able to help minimise the risk.
So, how can fraud analysts help?
Far from wanting to paint a bleak picture, while fraud techniques are evolving and improving, so are anti-fraud efforts. All risks associated with financial crime involve three kinds of countermeasures: identifying and authenticating the customer, monitoring and detecting transaction and behavioural anomalies, and responding to mitigate risks and issues. All of these are carried out by fraud experts, such as Fraud Analysts, armed with ever-evolving technologies and techniques. So, what exactly does a Fraud Analyst do?
Fraud Analysts will track and monitor transactions and activity, identify and trace any suspicious or high-risk transactions, determine if there is improper activity involved, and identify if there is any risk to the organisation or its customers. They are able to digest huge swathes of information and quickly and efficiently prioritise the data that’s important in order to tell a story of fraud or no fraud.
To cope with the speed and scale of online commerce, new technologies such as Machine learning (ML) models have come to the fore. These models have the ability to simulate thousands of scenarios and take over the mundane tasks of sifting through swathes of data in a tiny percentage of the time it would take a human. The systems used by Fraud Analysts will vary based on the industry, but a common example is rule-based expert systems (RBESSs). A very simple implementation of artificial intelligence (AI) RBESSs are used to detect fraud by calculating a risk score based on users’ behaviours, such as repeated log-in attempts or ‘too-quick-for-being-human’ operations. Based on the risk score, the rules deliver a final decision on each analysed transaction, therefore blocking it, accepting it, or putting it on hold for analyst’s revision. The rules can be easily updated over time, or new rules can be inserted following specific needs to address new threats.
This method has proved very effective in mitigating fraud risks and discovering well-known fraud patterns. That said, rule-based fraud detection solutions have demonstrated that they can’t always keep pace with the increasingly sophisticated techniques adopted by fraudsters, without regular updates and expert use.
Machines also cannot mimic human traits like intuition. People can detect if things aren’t right even if they have not seen them before. It’s an instinct not yet successfully trained into machines. Therefore, new trends are much better pursued by an analyst and then a machine can be trained to stop future occurrences. A well-implemented ML system will free up precious time for an analyst to perform these more productive tasks.
A non-stop process
So, your Fraud Analyst has now set up a new ML system to identify fraudulent activity and is also looking for new trends that fraudsters may be trying – now what? Fraud Analysts never sit still. Their job is not a one-time fix but one of constant evolution and refinement. Their role involves identifying weaknesses in systems and continually looking for opportunities for improvement, such as recommending anti-fraud processes to detect new patterns or new software tools to help with reporting. Their finger is always on the pulse of emerging developments and will ensure your company remains protected against current risks.
Not only is this aspect part of the job description, but it is also to some extent inherent to their nature. Fraud Analysts tend to be curious, have a strong attention to granular detail, as well as an inclination towards problem-solving. Leaving no stone unturned is part of their makeup. This analytical skillset will dig out any problems that are there – which will unfortunately then require you to fix them (sorry!) – but it is far better to be aware of any weaknesses now. The majority of companies only realise their shortcomings when it is already too late. Ultimately it is better to be safe than sorry.
A Fraud Analyst not only helps to protect businesses against creative cyber criminals but will also give owners reassurance as they look to grow and thrive unimpeded.
If you are looking for a complete recruitment solution across the breadth of Data & Analytics disciplines to build out a robust Data & Analytics function, get in touch with one of our expert consultants here.
Looking for a new role? Take a look at our latest Fraud Analyst jobs.
Key Fraud Trends: How to Stay Safe in the Changing Fraudscape | Harnham Recruitment post
Sharing and collecting data is part of our everyday lives. Whether our information is shared over social media, e-commerce sites, banks, or elsewhere, this can open up risks. 2017 saw the highest number of identity fraud cases ever, an increase in young people ‘money muling’ and higher bank account takeovers for over-60s. Whilst overall fraud incidences fell 6%, these cases highlight just some of the changing trends as fraud issues stem more from misuse than ever before.Dixons Carphone, Facebook and Ticketmaster are just three cases you may recognise from a string of high profile data breaches this year. Technological advances, more accessible and available data, coupled with an increased sophistication of fraud schemes, makes it more likely that data breaches and fraud attacks will become regular news items. But how is the fraud landscape changing and can technological advances be advantageous in detecting and reducing fraud?Identity fraud increasing for under 21sIn June 2018, Dixons Carphone found an attack enabled unauthorised access to personal data from 1.2 million customers. It’s now been uncovered that the number is much higher, closer to ten times initial estimates. Whilst no financial information was directly accessed, personal data such as names, addresses and emails enable fraudsters to fake an identity. Younger fake identities are used more for product and asset purchases which typically require less stringent checks, such as mobile phone contracts and short-term loans. In 2017, Cifas, a non-profit organisation working to reduce and prevent fraud and financial crime, reported the highest number of identity fraud cases ever. Under 21s are most at risk seeing a 30% increase as they engage more with online retail accounts. Whereas previously identity theft would manifest itself in fraudulent card and bank account activity, it’s now being used to make false insurance claims and asset conversion calling for stronger detection in these industries. Young People Used as Money MulesThis age group aren’t only being targeted for identity theft; there’s a 27% uplift in young people acting as money mules. ‘Money muling’ is a serious offence that carries a 14-year prison sentence in the UK. In most cases, younger people are recruited with the lure of large cash payments to facilitate movement of funds through their account, taking a cut as they go. In a world where young lives are glamourised and luxurious goods are displayed over social media, this cut can be particularly appealing. Whether aware, believing the reward outweighs the risk, or unaware a money laundering crime is being committed, deeper fraud controls are needed across social media as much as bank accounts. This raises the question as to whether banks should be linking social media to customer details to stop money laundering early on?Increased bank account takeover for over 60sCifas also reported an increase in account takeovers for over 60s for the same period. Seen by fraudsters as a less tech-savvy and therefore more susceptible demographic, over 60s are increasingly being targeted with online and social engineering scams. The same features which can make some over 60s a target for these scams, can also mean that account takeovers are not immediately noticed and reported, posing yet another difficulty for fraud monitoring and prevention. Vigilance and proactiveness is key. Here are three tips to get you started:Never give personal or security information to someone who contacts you out of the blue, either online, on the phone, or face to face. Always phone and check with the company first. If you make the call then you know you can trust the person on the other end.Check with your bank to see if they offer an elder fraud initiative such as a monitoring service that scans for suspicious activity and alerts customers and their families or educates seniors on types of scams and how to avoid them.When in doubt about something, delay and seek a second opinion.Check with your local library, government offices, or non-profit organisation for more top tips to stay safe from scams and social engineering. Industry approachTraditionally, financial services organisations have been at the forefront of developing fraud controls; they are often the ones most impacted by the financial risk (the monetary cost of the attacks on their business) and regulatory risk (ensuring their business is adhering to regulations and controls).However, with modern day trends and the changing nature of fraud, all industries need to be focused on reputational risks and prevention. Single big events like Facebook and Dixon Carphone’s data breaches can have a far-reaching impact. But, there is light at the end of the tunnel. Monzo, an online bank, which bills itself as the future of banking has stepped up the game when it comes to their customer’s security. Upon reports of fraudulent activity on customer cards, they took immediate action to correct the problem. Then they took things a step further, introducing digital analytics to help identify trends and patterns. As patterns emerged, Monzo then notified both the breached business and the authorities.Perhaps a cross-industry collaborative approach is needed as, after all, fraudsters are collaborating. By doing so, businesses will become more proactive, rather than reactive, and can put measures in place to stop potential fraud.If you’ve got a nose for numbers and want to help secure the reputation of businesses the world over, we may have a role for you. To learn more, call our UK team at +44 020 8408 6070 or email us at firstname.lastname@example.org
Is Product Analytics the new Digital Analytics? | Harnham Recruitment post
Following on from our exploration of what Digital Analytics is, and the exploration specifically of hiring Digital Insights Analysts in the North of England and Midlands, we wanted to take a look at Product Analytics, and how it differs from the standard Digital Analyst role.To help investigate the importance of Product Analytics in the current market, we have interviewed Nicky Tran, a Product Analyst at Virgin Media (Manchester).What Is A Product Analyst?In simple terms, a Product Analyst ‘’looks at the different products a company has, and then you are identifying which areas of the product can be improved or which areas can be optimised.” While Digital Analytics can inform the product lifecycle, the interesting aspect to this role is, that unlike a traditional Web Analyst role, it is more of a hybrid role. Nicky emphasised that it is ‘’an upcoming sector within the analytics community’’, providing an overlap between Digital Analytics, Customer Analytics and Data Science.The key skills and tools for this role are advanced SQL, Google Analytics, and AB testing. So how does this skillset differ from a traditional Web Analyst? Nicky suggests that while the core requirements are that of a Web Analyst, with a web role you would essentially just be using Google Analytics Data. However, as a Product Analyst, you would be using advanced SQL to access other data bases, and pull data from models, and therefore, “you are combining two sets of data to get a more insightful look”.Why Is Product Analytics Important, And Why Are They Now Becoming More Prominent On The Market?Similar to Digital Analytics roles, it is clear that with the impending digital transformation, companies are becoming increasingly data-led, especially with regards to their digital platforms (and products).As a result of the pandemic, the digital space is so much more important than ever before. Therefore, to stay competitive, and to really understand the products from the consumer perspective, companies have to provide the most personalised customer experiences to acquire and retain their consumers. As Nicky mentions, ‘It is definitely worth making an ‘inventory’ to see how to promote what you have – it is about personalising the customer journey’.What are employers looking for in a Product Analytics candidate?Product Analytics are great due to their hybridity. In the current market, where there are numerous jobs, and few candidates, a Product Analyst (technically strong in three areas) is a highly sought-after rarity.Businesses are becoming increasingly invested in Product Analytics and having a Product team that works alongside the Digital team can be beneficial; especially when companies need to stay competitive.What are Candidates looking for? Understanding the differences between a Digital Analyst, and a Product Analyst is key to understanding what a candidate is looking for. Nicky suggested that this Product Analyst role enabled her to be the ‘bridge’ between areas.So how does the future of a Product Analyst differ to that of the route of a Digital Analyst? For Nicky, this is one of the most important factors to being a Digital Analyst, as she has the option to go down the Data Science route in the future should she wish. The more technical skills she has as a Product Analyst means she is building up experience across different areas of Data & Analytics, giving her a slightly different career path, should she want to go down a more technical route.Why Choose A Product Analyst Role?“If you come from a technical background – maths, physics, computer science – and are interested in how the numbers are crunching, it is worth going into Product Analytics, as it needs a logical mathematics brain, to be able to convert it into a way which is useful to stakeholders.”From speaking to Nicky, it is clear that Product Analytics is an up-and-coming role that people don’t know enough about it. Therefore, if you are curious about Product Analytics, or any of the different roles the market has to offer at the moment, as an employer looking for help hiring, or a candidate actively or passively looking for work, Harnham can help. Take a look at our latest Product Analytics jobs, or get in touch for more information on how we can support your hiring needs.
CAN’T FIND THE RIGHT OPPORTUNITY?
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.