HEAD OF CREDIT RISK – ENERGY
South London, London / £90000 - £110000
INFO
£90000 - £110000
LOCATION
South London, London
Permanent
HEAD OF CREDIT RISK - ENERGY
UP TO £110,000 + 25% BONUS + CAR ALLOWANCE
SOUTH LONDON
A great opportunity to work within an exciting credit risk team at a very successful Energy company in South London has come up. This position will lead the credit risk department to determine and shape how they give credit lines for their business customers.
THE COMPANY
This energy institution is based in South London. They have been very successful in the last few years, and this has led to growth within the business. Their customers include businesses of all sizes, and they are known for providing them with excellent service and support. They provide great benefits including pension and bonus.
THE ROLE
You can expect to lead to the department in the following day to day:
- Developing and implementing credit risk policies and procedures
- Conducting credit risk analysis on potential borrowers
- Approving credit lines for borrowers, based on their credit risk analysis
- Monitoring the credit risk of the company's lending activities
- Managing the company's credit risk exposure
- Providing credit risk advice to senior management and other stakeholders in the company
- Ensuring compliance with regulations
- Developing and managing a team of credit risk analysts and other staff members
- Building and maintaining relationships with borrowers, regulators, and other stakeholders in the industry
SKILLS AND EXPERIENCE
- Open on experience from financial services / energy / telecommunications stc.
- Experience analysing data and documenting trends to drive insight
- Business-to-business lending experience
- Some exposure to SME lending
- Strong commercial mindset
- Management experience
SALARY AND BENEFITS
- Up to £110,000 base salary
- 25% Bonus
- Strong pension contribution
- Car allowance
- Private Healthcare
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.
CONTACT
Shane McWilliams
Senior Recruitment Consultant
SIMILAR
JOB RESULTS
Risk Analytics Landscape: 2022 | Harnham Recruitment post
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2022 is set to be an interesting year for Risk Analytics. According to research, the risk analytics market is expected to be worth around $54.95bn by 2027 and is experiencing a huge degree of interest due to a combination of different factors coming together at once. The growth of business procedures and increasing deliverables are driving demand for techniques such as risk measurement, whilst rising incidents of cyberattacks combined with rising digitization are further catalysing the Risk Analytics market. Not to mention the impact that different macroeconomic elements are having, such as coming out of the pandemic, remnants of Brexit and rising inflation rates. Within the risk space, all of these variables are feeding into the way that both candidates and clients are making their decisions. Industry developments have a direct impact on the recruitment market, with trends being reflected in the needs and desires of both employees and employers. With risk coming to the forefront for many businesses, it isn’t surprising to see a surge in the demand for talent. Risk under the spotlightNumerous developments across the financial sector have made the skills that risk analysts have increasingly invaluable. The pandemic forced many companies to digitize and move to remote and cloud-based working systems, making security a company-wide concern. This has driven demand for the right talent to fill risk roles but also a greater willingness to dedicate more of their budget into investing in their risk functions and/or departments.The fraud risk spaceThe increase of remote working combined with a general trend of digitization has brought with it concerns around fraud. Headlines highlighting a ‘fraud epidemic’ have been circling with reports of fraud and cybercrime in the UK rising from 3,983 cases to 8,614 in a year. Digitization offers opportunities for company growth but if not securely managed, can serve up opportunities for criminals to exploit. Fraudsters are becoming increasingly inventive, and steps must constantly be taken to stay one step ahead. The skills that risk analysts have are essential in understanding the drivers to fraud within a business and ultimately how to prevent it.The rise of unregulated products and technologiesInnovation within the financial industry is also flourishing. The emergence of AI and adoption of more advanced technologies to better inform decision making, as well as the introduction of machine learning and data science into risk analytics, makes it an exciting time to be in the risk analyst field.New unregulated products and technologies have also flooded the market, such as crypoassets, decentralized finance and non-fungible tokens (NFTs). About 2.3 million people in the UK are now thought to own a crypto asset, creating a playground for fraudsters looking to misuse unregulated tech. Data reveals a staggering £146,222,332 has been lost to cryptocurrency fraud since the start of this year, and unless regulators are able to catch up with the ever-evolving nature of crypto, this will rise. As a result, there is expected to be a lot of regulatory changes this year to increase protections against consumer risk but also within financial institutions. This tends to stimulate demand within sectors such as risk analytics as well as causing shifts of focus within departments.Risk analyst salariesSalaries within the sector are currently being pushed upwards, largely due simply to supply and demand. Throughout the pandemic, most companies didn’t hire Risk Analysts, if anything, they let go of them. Recently, there has since been a spring coil reaction of demand for Risk Analysts and Risk Managers, to an extent not seen for years. To add to this there is a lack of talent, and candidates are increasingly asking for more because they know of the trend.Although it’s impossible to know for how long this might be the case, the recent mass movement of candidates since COVID-19, means that by the end of the year some candidates may have been at their new job for over a year and may be looking to move again. Supply could begin to creep up and start meeting demand, but only time will tell.  This imbalance between supply and demand means that candidates are finding themselves in the unique position of being able to choose between job offers, and can therefore afford to fine-tune and find better suiting roles. It’s well known that it’s a candidate market, but it’s a really good time to explore roles out there and consider your current position.Ultimately if job searchers are looking at their current situation and thinking about whether there’s something better out there, there is not a better or more exciting time to be looking for a role in Risk Analysis.If you’re looking for your next opportunity or to build out your Credit Risk or Fraud Analytics team, Harnham can help. Take a look at our latest Risk Analytics jobs or get in touch with one of our expert consultants to find out more.Â
How To Get Started In Risk Analytics | Harnham Recruitment post
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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 is 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 risk analytics jobs or get in touch with one of our expert consultants to find out more.Â
How Data Can Help In The Cost-Of-Living Crisis?
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As we all know, knowledge is power, and increasingly industries are realising that decisions grounded in data are better decisions. In retail, consumer behaviour data helps to inform which products are being viewed the most online and in banking, transactional data can be used to identify fraudulent activity. The premise being, the more you know, the more that you can control.
As energy bills and food costs increase the overwhelming message for the individuals and companies facing surging costs is to ensure that you are aware of what is going in and out of your accounts. The logic is that without this knowledge, opportunities for potential savings may be missed.
But other than regularly checking a bank statement, what other information or data techniques can be used to inform decision-making and potentially cut costs for businesses and individuals?
Monitor
As bills rise, energy is the word on everyone’s lips and technology is constantly developing that will help consumers to better track and control their energy consumption. ‘Smart homes’ for example – the term coined to describe households that have at least two forms of ‘smart technology’ such as smart meters or smart bulbs – are enabling users and suppliers to track household energy consumption and identify where it could become more efficient.
There are now 2.22 million smart homes in the UK, and the increasing digitisation and connectivity of devices, have only made homes smarter, with increasing numbers of household devices that can be monitored and controlled such as smart lights that can be dimmed, or switched on or off.
The Internet of Things (IoT) has enabled sensors and other measurement devices to speak to one another. Digitisation has packaged this into the accessible format of a mobile phone app where devices can be controlled, whilst automation technologies have reduced human error by using sensors to automatically turn off lighting when no one is in the room for example.
For businesses, Energy Management Systems (EMS) are becoming popular. These automation systems collect energy measurement data and make it available to users through graphics, online monitoring tools, and energy quality analysers. These systems can then automatically change the actions of the controlled device and facilitate the use of energy reduction measures, such as putting a device in sleep mode when not needed.
An EMS uses metering sensors that measure energy usage, a control system that transmits commands, and the actual controlled devices, such as air conditioning units, fans, or lights. A good example of a very basic EMS is the thermostat in your house, which has a sensor that measures the temperature in the room and a controller that tells the heater to turn on or off.
As consumers become more energy-savvy, the bank of data surrounding them – habits, consumption etc. is also building. Not only will this allow customers to see a pattern of their habits forming from current and historic data, but also gives opportunities for companies looking to offer competitive rates and more fodder for data analytics processes; think smart data that could allow policymakers to better understand how people use energy and how to reduce their costs.
Predict
There has been a huge amount of research into how this data can be used in the predictive modelling space. For instance, predicting the energy consumption of a building will allow owners to better plan ahead around peak times of consumption and it may influence decisions such as how many days you want to have your office open or your energy provider.
An efficient method for predicting electricity consumption in buildings is the use of ‘soft computing’ techniques. Such methods make use of data measured by sensors installed in buildings and inform optimised decisions and actions to save energy. For example, examining how a building’s design characteristics – wall, roof and window materials – are affecting its energy consumption by using sensors to detect heat loss through the roof.
Electricity load forecasting is another important tool – the accurate forecasts of commercial building electricity loads can reduce costs for companies by reducing electricity use around peak demand times.
Some researchers are looking to combine the predictive modelling of energy consumption with others, such as those around behaviour. A recent study looked at how lighting control in office buildings is driven by occupants’ demand for an indoor light environment.
However, due to the effect of glare, lighting control is often associated with shading adjustment. The study proposed a prediction model which can accurately describe the lighting and shading coupling control behaviour by fully considering the difference and diversity of occupants.
Inform
The future of using data to decrease costs for consumers and businesses will depend on how companies decide to use data analytics technologies to extract business intelligence going forwards. Businesses and individuals can easily purchase smart technology to monitor and control their data usage but enriching this data with complementary information will give deeper insights that could inform, for instance, the launch of a new service. As a case in point, PG&E has used SmartMeters to collect consumer energy-use data at hourly and daily intervals. The energy consumption data will supplement existing information on customers’ demographics, billings and payments, call centre reports and utility pricing, among other variables.
The company hopes to gain insights into how its SmartMeter platform might be used ‘to engage customers, reduce energy consumption and offer customers appealing alternative pricing schemes.’ Customers who participate in the program will have the ability to be notified by email, text message or phone when their utility use is moving toward a higher-cost tier.
Awareness around the importance of monitoring the energy consumption of your home or business, and the tools that can make it straightforward, needs to improve. And as data analytics continues to inform business intelligence, the energy-saving services yet be offered are no doubt going to be plentiful.
Looking for your next big role in Data and Analytics or need to source exceptional talent? Take a look at our latest Data jobs or get in touch with one of our expert consultants to find out more.
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