Financial Crime Analytics Manager- REMOTE
England / £40000 - £85000
INFO
£40000 - £85000
LOCATION
England
Permanent
FINANCIAL CRIME ANALYTICS MANAGER
REMOTE- UK
UP TO £80,000
THE COMPANY
Join an exciting payments fintech to build out their financial crime analytics function!
THE ROLE
- Help to develop the Financial Crime systems and data strategy, to not only detect and disrupt financial crime but to deliver great customer & company experiences/outcomes
- Maintain, tune and calibrate all Financial Crime systems using data-driven decisions to optimise the performance of these systems.
- Link your Financial Crime experience with alerts process and market situation to help reduce the number of false positives and increase efficiency gains
- Suggest improvements and drive innovative Financial Crime solutions for the customer's & companies benefit
- Write, test, promote and monitor new rules and initiatives to protect against specific financial crime types.
- Support the creation of analytical models and integration of these into our systems from conception through to testing and delivery
REQUIREMENTS
- Experience in managing Financial Crime detection systems in a Financial Institution setting.
- Experience with SQL, or another analytical tool such as SAS, R or python
BENEFITS
- Up to £80,000
- Hybrid working
CONTACT
Francesca Hardcastle
Senior Recruitment Consultant
SIMILAR
JOB RESULTS
Post-Pandemic Trends In Remote Work
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The pandemic wrought enormous changes to the way people work. Just a few years ago, remote work was a rarity. In 2018, only 7% of employees in the U.S. even had the option of working away from the office. During the pandemic, remote working become normal to millions of people who never imagined they would be away from the office for so long.
Soon, many Americans will have spent two full years working remotely. Such a major change will have permanent effects. Post-pandemic, there will be no return to exactly the way things were before. Many of the trends in remote work will continue to grow even as the world moves toward a post-pandemic reality.
While the shift to remote working due to the pandemic was unplanned, that doesn’t mean it was necessarily a negative change. Though some people disliked remote work and wanted to be back at the office, many others loved working from home. Remote working offers a flexibility that was impossible under the old model of work. Simply skipping out on the daily commute is a huge boon to many professionals.
Perhaps more significantly, remote work opens up the possibility of living far away from the office, or even traveling while working. Employees may now be able to move to places with lower cost of living or other major advantages, rather than having to live within a short distance of their workplace. In fact, 46% of remote workers plan to move to a new location within a year.
These advantages mean that many of the trends of remote work are here to stay because so many professionals like the new style of work. Surveys show that 73% of workers want flexible options for remote work to continue. This is a major reason why it is estimated that in five years, fully 27.7% percent of the workforce will be working remotely.
However, the future of remote work does not lie with a simple continuation of the patterns that existed during the pandemic. Even while workers supported the continuation of remote work options, 67% also wanted more in-person time with their teams. This means that a form of hybrid work, in which both remote and in-person options are possible, will play a larger role going forward.
The rise of remote work has also raised certain challenges that must be met. Research shows that remote work causes teams to become more siloed. While team members still communicate with each other at high rates, communication with those outside the teams drops. This change makes networking harder, which in turn can damage innovation and impede career development. In the future, networking and communication in general may require greater conscious effort.
Working remotely can also disrupt work-life balance. When working from home, the natural divide that once existed between work and leisure becomes blurred. This can increase stress and create a sense among employees that they never get a true break from the job. That’s why 51% of employees report concerns about work-life balance. Employers must respond by giving workers back control over free time, such as by discouraging calls after normal work hours.
In addition, the post-pandemic evolution of remote work will cause changes in the areas of cybersecurity, as companies navigate risks posed by remote accessing of data, and in assessing the performance of employees who are not in the office. Cloud-based HR technology will be increasingly adopted, and companies will become more likely to use freelancers. Many other areas of the business world will also be affected.
Naturally, there will also be developments caused by remote work anticipated by no one. Just like the pandemic itself, the continued evolution in remote work will undoubtedly have surprising results. This means that both workers and employees must become more adept at responding to what will be an ever-changing professional landscape.
The pandemic irrevocably changed society. The relationship professionals had to work was disrupted, in ways both good and bad. Going forward, both companies and individual professionals will have to learn how to navigate this new and ever-evolving world of remote work, along with the opportunities and challenges it brings.
At NextGen Global Resources, LLC., we recognize how important post-pandemic developments in remote work are to the telecom industry. If you are looking for a telecom job, please check our website for open internal positions.
How Fraud Analytics Can Keep Your Money Safe
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How Fraud Analytics Can Keep Your Money Safe
We’ve previously written about how data analytics can help save your business money, but what about protecting the funds and resources your company already has?
It is widely reported that cyberattacks are rising as are incidences of fraud. Indeed, a 2020 PwC study found that 47 per cent of businesses had at least one incidence of fraud in the past two years, with an average of six instances per company. The losses from these incidents for the 5,000+ businesses surveyed amounted to $42 billion – approximately $8.4 million per company.
As consumer costs rise and businesses find their budgets stretched more than ever, losing any funds through fraud has become all the more damaging. Because of this, leaders need to pull out every stop to prevent it. Here’s how fraud analytics can help.
What is Fraud Analytics?
Companies have been using anomaly detection and rules-based methods to combat fraud for decades. While these methods are effective, they have their limitations.
This is because rules-based tools only detect abnormalities based on explicit, pre-written rules, whereas advanced analytics uses a company’s existing data to spot patterns, learn trends, and eventually detect outliers on its own through the use of artificial intelligence, machine learning, and predictive analytics.
These advanced analytics tools can be used to automate and speed up some of the labour-intensive work, which reduces operational costs and leaves others free to concentrate on the arguably more powerful, preventative activity.
One sector that’s been heavily leveraging fraud analytics is finance. Traditionally, such organisations have relied heavily on manual, human intervention in the regulatory reporting process. However, with large swathes of data moving in and out of systems, the capabilities for humans to keep up are simply untenable.
How is Fraud Analytics Useful?
Financial data can be scrutinised in numerous ways to identify anomalies in patterns of consumer and/or employee behaviour that might indicate financial wrongdoing–both internal and external.
For example:
- Ledger entries can be scrutinised for potential fraud or errors, using data analytics to identify suspicious entries.
- Expenses in areas such as travel are often where unscrupulous employees could fudge numbers. This could be tackled by monitoring department spending over time to understand the average range for each division, and setting up an alert triggered if the department deviates from that range.
- Contractor payments are common areas for fraudulent behaviour. Vendors may submit the same invoice multiple times, either by accident or to follow up on unpaid bills. You may pay the same invoice twice if you don’t have a system for tracking and flagging duplicates.
Financial data analytics can also be applied to a range of companywide performance indicators, such as monitoring company goals and objectives, building dynamic profit and loss statements, or streamlining budgeting and forecasting.
By evaluating historical data alongside forward-looking financial statements, analytic techniques can help to form an evolving forecast, which gives finance teams a greater understanding of the current and future financial health of the business. And, unlike the static reports used for accounting, data analytics offers dynamic analysis, allowing the user to ‘ask’ the data questions.
Humans Versus Machines
Despite strides in technological development, human intervention remains paramount in data analytics practices. While analytics techniques offer a fool-proof way of identifying issues, humans are needed to provide vital context, investigate suspicious activity and give it business relevance.
There will always be a high number of anomalies from the data analytics process, but very few will transpire to be errors and even fewer fraudulent transactions. Data professionals with an understanding of the business can use their judgment and intuition to weed out irrelevant information, explain most anomalies that appear, and further investigate those that warrant extra attention.
Interested in using your skills to help businesses to remain secure against fraud? The world of fraud data analytics is a fast-paced industry full of opportunities across countless sectors – check out our roles today.
How Advanced Analytics and Customer Engagement Create Insight for Your Business | Harnham US Recruitment post
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Have you ever wondered why your favorite store stopped carrying an item you liked to purchase? Or how you discovered a new item to fit the bill for what you were searching for? Consider counterintuitive holidays where the stores are packed, but the checkout lanes are light with few cashiers. On the flip side, there may be opportunities in stores that have ensured they have plenty of product in stock, have extra staff to help, and through it all have managed to make the experience seamless.This last imagining is what happens when you bring Advanced Analytics into your business to gather insights and create customer engagement for people who will return again and again to your store and to buy your product. This isn’t just for brick-and-mortar stores, this includes digital and e-commerce businesses as well. But the big question here is, how did they know to hire extra staff, make sure there was enough product on hand, and not only retained former customers, but made new customers? The motto ‘know your customers’ holds true, even in, and especially in, today’s world of social media marketing, e-commerce shops, review opportunities, and more. Enter Advanced Analytics. The next step up from the Analytics of Business Intelligence to offer you and your business a birds-eye view of what your customers want, how they want it, and how you can ensure their experience keeps them returning, and opening doors to new customers as well. TRADITIONAL BUSINESS INTELLIGENCE (BI) VS ADVANCED ANALYTICS Business Intelligence gives historical performance Data. What have customers bought or thought in the past. This information has been used to inform how to improve processes now, for the next sale, call, or booking. Advanced Analytics, however, offers not only a system in which to capture historical Data, but can work with more complicated systems, and handle the massive amounts of Data businesses capture every day. Think of Advanced Analytics as the change agent who comes in to solve the more complicated issues. While it may still gather the same information, it will use the information to determine why something is working, and if something isn’t working, what is the root cause of the problem. If customers are returning again and again, what is bringing them back, and how can they repeat it and improve it for the future. Below are three types of analytics each with its own specialty to help you make more informed decisions to move your business forward. 4 BUSINESS OPERATIONS ADVANCED ANALYTICS SHINESGaining clear insights about your business involves more than just the experiences of your customers. The driving force behind happy customers are the operations of your business. From the supply chain to marketing to Human Resources, every department plays a role in the Customer Experience. So, what better way to use Advanced Analytics than to ensure the root of your business is running well which will be key to ensuring that smooth customer experience. ·      SUPPLY CHAIN ANALYTICS – Market demand is at an all-time high and supply is…well, it’s stuck a bit. But regardless of what’s being moved, where, and how, the remote workforce, globalization, and necessary manufacturing plants to handle the loads are making things more complicated than ever before. Advanced Analytics can help businesses plan for what will be in demand not only using past performance indicators, but also predictive modelling scenarios to try to meet the pain points of supply and logistics.·      OPERATIONAL ANALYTICS – Changing market demands, adaptable processes, and flexibility in how operations are executed are all signs Advanced Analytics ha a place at the very heart of your organization. In this scenario, bits of seemingly unconnected Data come together to help imagine process alignment with market demand, and craft better insights for business.·      RISK ANALYSIS – Cloud-based tools available to help identify management of massive amounts of Data with predictive insights using Advanced Analytics.·      HUMAN RESOURCE ANALYTICS – To find and retain top talent, it’s important to ensure your business knows what they need, why they need it, and who can meet their requirements. Advanced Analytics can offer HR the chance to predict and evaluate how a prospective employee may do in your organization. Ready to take the next step in getting a birds-eye view of your business? Consider Advanced Analytics. Imagine knowing not only the historical Data which has kept your business moving forward, but using the near real-time Data streams from omnichannel sources to help you plan for the future of your business with future-predictive insights.   If you’re interested in Digital Analytics roles, a career in Advanced Analytics, Machine Learning or Robotics just to name a few, Harnham may have a role for you.  Contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 – 4999 or send an email to sanfraninfo@harnham.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  Â
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