Lead Analyst: Supply Chain SME

Fitch Ratings
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - Supply Chain

Sustainability Data Analyst

Data Analyst

Data Analyst

Lead Operator and Data Analyst Assistant

Data Analyst

Supply Chain Analyst SME

BMI is currently seeking a highly skilled Supply Chain Analyst SME to drive our new AI-driven Supply Chain Data & Analytics products.

Our new Supply Chain Data & Analytics product – which leverages AI to quantify and track country level risks - delivers unique, significant value to our diverse user base across financial services, corporates, and government.

What We Offer:

The opportunity to lead the development of a high value product, which forms a core part of BMI’s emerging Risk Analytics strategy Close engagement with BMI’s customer base, and the opportunity to act as a Thought Leader on Supply Chain issues A fast-paced and supportive working environment in which innovation is backed and individuals can thrive.

We’ll Count on You To:

Take ownership of BMI’s country level Supply Chain Data & Analytics product Develop and maintain deep understanding of the Supply Chain industry and trends Collaborate with BMI’s Data Scientists to conceptualise and develop models to quantity Supply Chain risks, and identify key data sources to help measure risk Work with a team of analysts in training / validating the AI model, and mentor the team to drive performance and engagement Be a key point of contact for customers, understanding their needs and positioning our Supply Chain solution to their business challenges Take ownership of the Supply Chain GTM, coordinating with internal and external stakeholders Write and publish thought leadership, and communicate it to BMI’s subscription and Advisory customers, as well as in public forums

What You Need to Have:

Your relevant experience and ability to demonstrate the attributes and skills we require are more important than specific educational qualifications. However, academic qualifications in areas such as Supply Chain Management, Business Administration, Economics or Data Science may be beneficial Minimum 10yrs experience in operational or analytical role covering Supply Chains, translating into proven expertise in supply chain industry trends, market analysis, and risk assessment Strong client-facing skills with the ability to build and maintain relationships.  Exceptional written and verbal communication skills Experience in writing thought leadership content and presenting at industry events Demonstrated ability to train and mentor junior staff

What Would Make You Stand Out:

Familiarity with AI / ML techniques, with experience in model development Proficiency in data analytics tools and programming languages Strong analytical and problem-solving skills Ability to work effectively in a fast-paced, dynamic environment

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.