Head of Credit Risk – Energy Sector
South London, London / £90000 - £110000
INFO
£90000 - £110000
LOCATION
South London, London
Permanent
HEAD OF CREDIT RISK - ENERGY SECTOR
£110,000
SOUTH LONDON
THE COMPANY
Our client is a successful Energy company who are looking for an experienced individual to join their team and lead their underwriting team and drive their lending decisions for a range of businesses, focused on their corporate portfolio. This role offers the rare opportunity to be part of hands-on analytics, management and stakeholder engagement, and is an excellent opportunity to further your career.
THE ROLE
Within this, you can expect to work on:
- Leading their underwriting and decision team to lead lending decisions, focusing on their corporate clients
- Support and develop policies and lending strategies
- Develop and monitor risk segmentation and mitigation strategies using customer data
- Work significantly with stakeholders and third-parties to manage profitability and business performance
- Work closely with borrowers and regulators to build strong relationships and further grow the business
YOUR SKILLS AND EXPERIENCE
- Essential to have prior experience in business or SME lending
- Exposure to large corporate lending
- Direct line management experience
- Experience in stakeholder management and communication
- Commercial acumen and prior work in driving profitability and lending decisions
SALARY AND BENEFITS
- Up to £110,000 base salary
- Very strong bonus scheme - can be up to 20%
- Strong company pension scheme
- Car allowance
- Private healthcare
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link

SIMILAR
JOB RESULTS

Risk Analytics Landscape: 2022 | Harnham Recruitment post
+
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.

How To Get Started In Risk Analytics | Harnham Recruitment post
+
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.

Using Big Data to Transform the Energy Sector
+
On April 22nd each year, Earth Day marks the beginning of the modern environmental movement.
The day was created to bring awareness to the world’s climate issues and shed light on the impact that humans are having on the planet.
In other words, Earth Day is your yearly reminder that greenhouse gas emissions are heating up our planet. If things don’t change, we could be facing a full-scale climate emergency, which will have devastating consequences worldwide.
To mitigate this, we need to slow global warming. And to achieve this, we need to reach net-zero emissions by 2050.
Carbon emissions come from a number of sectors but a staggering 73 per cent come from energy (electricity, heat, and transport). Because of this, it is an area in desperate need of attention. Transforming the way we use energy is crucial in the journey toward reaching net zero.
And Big Data can help. Here’s how we can use Big Data to transform the energy sector.
Using Big Data to understand energy usage
Understanding where and why a company uses energy is the first step in improving usage, and Big Data can be used to optimise energy consumption in companies. It does this by analysing the patterns of when people are in the office and sharing this information with smart technology to adjust electricity and energy and reduce wastage.
In addition to electricity, an extensive audit can be carried out to assess programs and machinery used to carry out daily tasks. If something can be removed to reduce emissions, it can be identified in the process and alternative clean energy options can be implemented.
What else can Big Data be used for?
As we enter a new digital era, Big Data’s impact on renewable energy has experienced a considerable jump and the trend keeps on growing.
As organisations begin to choose cleaner energy sources, more and more data professionals are taking roles to observe the journey and help influence the sector. Reports show that “clean energy will form 50 per cent of all energy sources by 2050 and Big Data in the clean energy industry can be used to optimise and improve operations”.
When considering the relationship between Big Data and renewable energy, “insights gained from Big Data can inform and highlight countless issues and solutions in the field of renewable energy”.
One clean energy trend that has skyrocketed since the cost of living crisis is solar panels – they’re a brilliant and more accessible way to generate renewable energy, however, weather conditions must be analysed to use them efficiently. Hours of sun, wind speeds, or waves all influence solar panels, and collating data to estimate power generation is helpful in evaluating the effectiveness of solar panels and whether they are worth the investment.
As the costs of renewable energy drop because of technological improvements, the more popular they will become, which in turn will generate a greater demand for jobs in clean energy, particularly solar. High-quality talent will be required to keep the industry at the cutting edge of new technology, analyse the ever-increasing swathes of data being produced and provide predictions for the future.
Renewable energy data roles are becoming a popular career choice that offer the chance to have a positive impact on the environment and businesses. Looking for your next data role? Get in touch with one of our consultants today.

CAN’T FIND THE RIGHT OPPORTUNITY?
STILL LOOKING?
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.