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Credit Risk Modelling Analyst

London
£55000 - £60000 per annum
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CREDIT RISK MODELLING ANALYST

£55,000 - £60,000

LONDON

Are you looking to work in a credit risk analyst role that involves a lot of technical work modelling in SAS or SQL? This position is the perfect opportunity for a credit risk analyst that wants to work using classical modelling and machine learning to develop predictive models.

THE COMPANY

The company is a financial institution based in London. The company is a market leader that has been growing for the last 10 years and this is a really exciting time to join the company as they continue to expand.

THE ROLE

The position sits in the credit risk modelling. The main aspect of the role will be developing predictive models and credit risk scorecards. There will also be an element of the role that requires you to explain and defend the models you have developed to senior stakeholders.

SKILLS

  • Knowledge of IFRS9 and IRB regulations
  • Experience using SAS or SQL to build credit risk models
  • A statistics degree or relevant statistics experience
  • Experience working on credit risk strategies
  • Good communication skills

SALARY AND BENEFITS

  • £55,000 - 60,000 base salary
  • Standard benefits

HOW TO APPLY

Please register your interest by sending your CV to Dapo Agiri via the Apply link on this page.

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104191/DA
London
£55000 - £60000 per annum
  1. Permanent
  2. AIRB Modelling

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Trade Analysts Keep Money Flowing on the Field

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Sam Maughan

Sam Maughan

19. November 2020

News

Risk Analytics & Your Job Search

Risk Analysis is a daily part of our decision-making process. Its influences are felt in how we prioritise projects. Hello, project management. It determines when we take breaks. And in the working from home or remote working culture, lines between personal and professional life are soon blurred. Our decision-making ratchets through microanalyses of next steps, words to use, when to log off the computer, and what time to make lunch or dinner. Almost without realising it, we're using the SWOT matrix determine risk. That's just in our personal day-to-day lives. Organisations have been using these strategic planning techniques as a daily part of their enterprise lives. So, imagine this. You determine your strengths, weaknesses, opportunities, and threats (SWOT) to write your CV, land the interview, and get the job. Aren't you already on your way to helping your company determine their risk on a bigger scale?  Isn't Risk Analysis the Same as SWOT? Not exactly. While you are identifying, measuring, and analysing issues, the idea is to avoid or lessen risk. In the movie War Games, the main character decides he's going to play a game. But, neither the computer nor the main character understands the game is not a game. They have no idea what risk they've unleashed as keystrokes begin to lead to war.  Militaries use Risk Analysis regularly to determine if war should begin, estimated casualties and cost just for a start. But, in the end, it's usually decided peace keeps the world away from war after all the risk has been analysed. Though most businesses and individuals don't have the risk of war at their doorstep, there are extenuating circumstances which must be determined to avoid risk. This can be anything from natural disasters to legislation to physical requirements and locations. The SWOT technique is a tool within strategic planning as are Risk Analytics. Let's take a look at the benefits of Risk Analysis.  It can help your business improve security, manage costs, and plan for any surprises. Whether it helps you in your job search or manage your business once you're hired, a combination of SWOT and Risk Analytics can help your decision-making process shine. Done well, Risk Analysis is an important tool for managing costs associated with risks, as well as for aiding an organisation's decision-making process. SWOT your way to a Successful Job Search So, first, let's take a look at what SWOT is and isn't. This type of analysis is a tool most often found in strategic planning for organisations. But, it's not the only tool when assessing risk. Like any data profession, you'll want to gather, collect, and analyse the information before you. And when it comes to the job search, knowing yourself and your self-awareness levels may play a bigger part than you imagine. Skipping ahead to the interview from your 'foot in the door' CV and cover letter both delivered via video, of course, you begin to plan for your interview. "What are your biggest strengths and weaknesses?" your hiring manager asks. You've come well-prepared for this question because you've done your SWOT analysis. From the moment you decided your areas of expertise, your roles in organisations, and any areas you know you need to improve but can turn into a positive. You've pre-assessed your strengths, weaknesses, opportunities or obstacles, and threats. Strengths – What characteristics do you possess which gives you an advantage over your competition? Have you cross-trained across a variety of departments? Do you have a knack for telling a compelling data narrative story to help make leadership make an informed decision? Weaknesses – Where could you use more training? Are you looking for a business that offers it in-house or do you need a certification or class to give you a leg up over your competition? What puts you at a disadvantage and how would find a work around? What can you do to improve? Opportunities or Obstacles – Has your experience taught you a new way of doing things within the industry? Does your experience extend from working alone to strong member of a team? Was the team in-house or scattered around the world? How did it affect your working style and what did you learn from it? Threats – Threats may seem at odds with a job search, but…that was then. This is now. Threats are simply external forces which cause trouble in your planning. In other words, this is your risk assessment. What risks are involved and of those risks which will have less effect and which will have more on your desired outcome? Performing this technique in your personal and professional life helps you peel back the layers of you. What has your education prepared you for? Your work experience? The projects you've chosen or been assigned to? It's all leading somewhere, right? This is where you match your strengths to opportunities. Hello, dream job. If you're looking for your next role in the Data & Analytics, we may have a job for you. Take a look at our current opportunities or get in touch with one of our expert consultants to learn more.  

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