Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Credit Risk Analyst

Glasgow
1 year ago
Applications closed

Related Jobs

View all jobs

Wholesale Credit Risk Product & Data Analyst - Citi

Senior Data Analyst - Fraud Analytics

Data Scientist - Lending Strategy DE

Data Scientist - Lending Strategy DE

Lead Data Scientist

Senior Data Scientist

Please note this role is open to applicants based in our Glasgow office, for a 15 month fixed term contract**

SThree are pleased to announce we're recruiting for a talented Credit Risk Analyst to join our Information Technology team on a fixed term basis.

The Credit Risk Analyst will assess the creditworthiness of potential borrowers, using balance sheet analysis, credit risk analysis, and financial ratios like quick and current ratios. They monitor existing loans, formulate credit risk policies, and aim to minimize losses and maximize profit, ensuring lending decisions are balanced between risk and reward. The Credit Risk Analyst also screens new customers, verifying their credit limits and payment terms to determine potential risk. Furthermore, they ensure the accuracy of all received data, playing a crucial role as a Master Data Analyst, maintaining the integrity and correctness of financial data.

About us

SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. Elevating expertise and energising progress for everyone.

What are the day-to-day tasks?

To analyse a company's balance sheet. Reviewing the assets, liabilities, and stockholder's equity of a company to determine its financial standing and ability to repay debt.
Use financial data, such as a company's income, collateral, and existing debt, to assess the risk of lending money to a particular company or individual. This involves calculating the probability of default, the potential loss in the event of default, and the exposure at default.
Adhering to credit risk policies
Periodic checks of customer's credit limits in alignment with a clean Open AR.
Knowledge bases maintained/updated
Assessing the creditworthiness of new customers using various financial metrics and credit checks.
Ensuring the precision and correctness of customer data, including credit information.
Maintaining and updating the master data set, including customer credit data.
Using data analysis to identify potential credit risks and propose mitigation strategies.
Ensuring all data management and credit assessment practices comply with relevant laws, regulations, and industry standards.
Generating reports on credit risk
Monthly calls with various stakeholders
ReportingWhat skills and knowledge are we looking for?

Prior experience in credit risk analysis or data management.
Strong ability to interpret complex financial data and derive insights.
Proficiency in data analysis tools and software
High level of precision to ensure data accuracy and consistency.
Advanced Microsoft Excel,(VLOOKUPS, SUMIF, Pivot Tables) with an excellent standard of formatting
A good working knowledge of financial systems (with previous experience of SAP)
Resourceful and good attention to detail, willing to question and investigate
Self-Starter, pro-active approach essential
Ability to prioritise workloads with minimal supervision
Comfortable to work under pressure
Strong customer and stakeholder management skills including influencing across functions and levels.
Strong people skills, must be able to demonstrate a strong track record of managing change, key stakeholder engagement, effective influencing, delivering value add initiatives and continuous improvements.
Ability to adapt to various situations and individuals in order to achieve objectives
Identifying when to escalate issues to senior management for resolution / action
Continuous improvement mind set, driving process excellence

Qualifications:
Degree in Finance, Economics, Business, Statistics, or related field.
CICM (optional)Benefits for our U.K. teams include:

The choice to work flexibly from home and the office, in line with our hybrid working principles
Bonus linked to company and personal performance
Generous 28 days holiday allowance, plus public holidays
Annual leave purchase scheme
Five days paid Caregiver/Dependant leave per annum
Five paid days off per year for volunteering `
Private health care, discounted dental insurance and health care cash back scheme
Opportunity to participate in the company share scheme
Access to a range of retail discounts and savingWhat we stand for...

We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.

What we stand for..

We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected.

If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.