Credit Risk Analyst - Fintech

London
£50000 - £60000 per annum + competitive benefits package

Credit Risk Analyst - FinTech
Central London
Up to £60,000 + benefits + bonus

Are you looking to translate your experience within Credit Risk into a Fintech environment? If so, this exciting position, that is a core role within the fast moving, data centric environment, could be an interesting role for you. This role will give you exposure to international portfolios and you will be up-skilled in R and open source tools, and so offers a really interesting step for anyone looking to be involved in something new.

THE ROLE

As the Lead Credit RIsk Analyst, you will be involved in a highly visible area at a leading fin-tech business, you will lead analytics in all areas of the business and could be involved in everything from deal evaluation all the way through to asset management, deals analysis, and more traditional portfolio analysis and risk mitigation. A rare opportunity, the company is truly data driven and as a Lead Analyst in the business you will be involved in every step of the cycle and play a really pivotal role in the business. You will utilise SAS, SQL and R on a daily basis and apply your analytical skills in an extremely engaging and data centric environment.

YOUR SKILLS AND EXPERIENCE

The successful Credit Risk Analyst will likely come from the following background:

  • Educated to a degree level in a relevant numerate discipline (Mathematics, Statistics, Economics)
  • Proven analytical experience using SAS/R & SQL in a Credit Risk focused role
  • Large scale data manipulation and analysis experience
  • Enjoys working in a fast paced, data driven environment
  • Additional experience to risk within a FinTech desirable

HOW TO APPLY

Please submit your profile to Ewan Dunbar at Harnham via the 'Apply Now' button

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21301/ED
London
£50000 - £60000 per annum + competitive benefits package
  1. Permanent
  2. Portfolio Analyst

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The Advantages And Disadvantages Of Computer Vision

The Advantages And Disadvantages Of Computer Vision

“Don’t judge a book by its cover”. We use this adage to remind ourselves to go deeper and to look beyond the superficial exterior. Except, sometimes, we can’t, or won’t. Sometimes, our perceptions are pre-programmed. Think family, peer pressure, and social influences. But what about computers? What do they see? In a digital landscape that demands privacy but needs information, what are the advantages and disadvantages of Computer Vision? The Good: Digital Superpowers  Let’s be clear, Computer Vision is not the same as image recognition, though they are often used interchangeably. Computer Vision is more than looking at pictures, it is closer to a superpower. It can see in the dark, through walls, and over long distances and, in a matter of moments, rifle through massive volumes of information and report back its findings. So, what does this mean? First and foremost, it means Computer Vision can support us in our daily activities and business. It may not seem like it at first glance, but much of what the computer sees is to our advantage. Let’s take a deeper look into the ways we use Computer Vision today. Big Data: From backup cameras on cars to traffic patterns, weather reports to shopping behaviours and everything in between. Everything we do, professional to personal, is being watched, recorded, and used for warning, learning, saving, spending, and social. Geo-Location: Want to know how to get from Point A to Point B? This is where Geo-location comes in. In order to navigate, the satellite must first pinpoint where we are and along the way, it can point out restaurants, shops, and services to ease us on our way.Medical Imaging: X-rays, ultrasounds, catheterisations, MRIs, CAT Scans, even LASIK are already in use. Add telemedicine and the possibilities are endless. The application of these functions will allow faster and more accurate diagnoses and help save lives.Sensors: Motion sensors that only turns a light on when a heat signature is nearby are already saving your home or business money on your electric bill. Now, during a shop visit when you are eyeing an intriguing product, your phone may buzz with a coupon for that very item. Computer Vision sensors are now tracking shopper movements to help optimize your shopping experience.Thermal Imaging: Heat signatures already help humans detect heat or gas and avoid dangerous areas, but soon this function will be integrated into every smart phone. Thermal imaging is no longer used just to catch dangerous environments, it’s used in sport. From determining drug use to statistics and strategy, this is yet another example . The Bad: Privacy Will Forever Change  Google is 20 years old this year. Facebook is 15. Between these two media tech giants, technological advances have ratcheted steadily toward the Catch-22 of both helping our daily lives, whilst exposing our data to our employers, governments, and advertisers. Computer Vision will allow them to see you and what you’re doing in photos and may make decisions based on something you did in your school or university days. We’re already pre-wired to make snap judgements and judge books by their cover, but what will these advancements do to our daily lives? Privacy will change forever.  We document our lives daily with little regard to the privacy settings on our favourite social media apps. GDPR has been a good start, but it’s deigned to protect businesses and create trust from consumers, rather than truly offer privacy. So far, the impact on our privacy has been limited as it still takes such a long time to sift through the amount of data available. However, the time is coming soon, where we’ll need to perhaps think of a privacy regulation businesses, employers, and governments must follow to protect the general population. Fahrenheit 451, 1984, and Animal Farm were once cautionary tales of a far-off future. But Big Brother is already watching and has been for quite some time. Police monitor YouTube videos. Mayors cite tweets to justify their actions. And we, thumb through our phones tagging friends and family without discretion.  Like every new technological advancement there are advantages and disadvantages. As Computer Vision becomes increasingly prevalent, we’ll all need to be aware of the kind of data we supply from to text to image. We can’t go back to the way things were, but we can learn about ourselves through the computer’s lens. And when it comes to computers and their capabilities, don’t judge a book its cover. If you’re interested in Data & Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants for more information. 

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