Senior Credit Risk Analyst

Birmingham
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Credit Data Scientist

Senior Data Scientist

Head of Data Science -Telematics

Head of Data Science -Telematics

Portfolio Revenue & Debt Data Scientist

Portfolio Revenue & Debt Data Scientist

Senior Credit Risk Analyst

Some careers open more doors than others.

If you're looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Our Risk and Compliance function has a critical role to play in supporting, challenging and advising across all areas of the business through establishing policy, monitoring profiles, and identifying and managing forward-looking risk and compliance. We focus on creating an environment that encourages our people to speak up and do the right thing, as well as protecting our customers, the organisation and the integrity of the financial markets in which we operate. Already an industry-leader in many respects, we want to continue setting standards and evolving to respond to strategic changes.

As an HSBC employee in the UK, you will have access to tailored professional development opportunities including working towards any desired and relevant insurance qualifications, and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

In this role you will:

*Support growth in the business, by contributing towards a range of analytical projects that enhance existing product features and manages the exposure of our existing customers.
*Provide analysis to monitor credit portfolios against agreed performance indicators, identify emerging trends and future risks.
*Examine new data sources, assess the benefit to current strategies and share these findings with stakeholders.
*Support the strategic direction of the team in proactively improving our processes / creating efficiency saves and delivering on analytical tasks.
*Formulate and clearly communicate conclusions and proposals by considering the risk, reward and customer impact, collaborating with teams to make decisions.
*Build strong interpersonal relationships and engage with the wider organisation to provide insight and support for changes required to improve customer outcomes.

To be successful in this role you should meet the following requirements:

*Previous experience in a relevant analytical / data science role, within a Retail Credit Risk or analytics department (or equivalent in other industries).
*Excellent attention to detail and a track record of analytical capabilities using relevant software packages (i.e. SAS/SQL/VBA/Python) to analyse large amounts of data, draw conclusions and drive actions.
*An understanding of consumer lending products, profitability and credit risk is desirable.
*Technical knowledge of credit reference agencies and bureau data fields / reporting is desirable.
*Knowledge of FCA regulations and experience of their application in a consumer lending environment is desirable.
*Experience of planning your own tasks and activities in line with business priorities, using a variety of analysis and problem solving techniques.
*Both spoken and written communication skills with experience of adapting your style and approach to the audience and message to be delivered.
*You enjoy working collaboratively and are a clear communicator.
*You are motivated by making a positive contribution to how we support our customers and deliver for HSBC.

This role can be based in Birmingham, Leeds or Sheffield (Hybrid).

Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.