Senior Manager, Risk Appetite and Analytics

Lloyds Banking Group
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - HOTH, Permanent

Technical Program Manager - Machine Learning - New York

Technical Program Manager - Machine Learning - New York

Senior Machine Learning Engineer - Research

Alpha Data Services, Performance Ready Data Analyst, EMEA Lead, Vice President

Full Stack Data Engineer

Description

JOB TITLE: Senior Manager, Risk Appetite and Analytics

LOCATIONS: Edinburgh / Birmingham / Leeds / London

HOURS: Full-Time

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites

About This Opportunity

Economic Crime poses a threat to the safety and security of the Group, our customers, and our communities. We play a key part as one of the largest financial services providers in identifying and preventing Economic Crime (EC).
 

Against a backdrop of a changing threat environment, we must evolve our prevention, detection, and response to ensure that we're responding to the risks of today and the evolution of the threat of tomorrow.
 

We're the Economic Crime Prevention (ECP) team with responsibility for managing EC risk (fraud, money laundering, bribery, sanctions) across our business banking, commercial, and corporate businesses.
 

Between them they have more than 1 million clients from sole traders through to global corporate firms. We've an important part to play help our business achieve their growth aspirations in a safe and sustainable way. So, join us and be part of Helping Britain Prosper to advance our control framework and capabilities.

As a Senior Manager, Risk Appetite and Analytics, you'll use your extensive data analytics expertise to enhance our understanding of client transactional behaviour, inform segmentation and rules within our transaction monitoring systems, and explore opportunities to improve analysis effectiveness through machine learning.

You'll drive improvement in the use of analytics to understand the EC Risk Framework, using data from a range of sources to create actionable, accurate and timely information. Some of this data needs to be developed. You'll support longer term initiatives to redefine our approach to managing risk, replacing manual processes with automated and semi-automated code.

Key Responsibilities:

Lead the existing team to develop a robust data modelling capability, guiding customer segmentation and transaction monitoring rules within the Group Transaction Monitoring System, MOSAIC.

Build a robust process for interacting with shared service provides including FCCT and Group Data Office.

Provide analytical content to drive decision making across BCB/CIB Economic Crime Prevention.

Develop a team of analysts to support the transformation journey.

What You'll Need

Proven experience in data analytics, particularly within Economic Crime Prevention.

Strong leadership skills with a track record of managing and developing high-performing teams.

Expertise in data modelling and machine learning.

Excellent communication and partner management skills.

Excellent understanding of RCSA, Workday, JIRA and Confluence as data sources.

About Working For Us

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. If you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
 

If you’re excited by the thought of becoming part of our team, get in touch. We’d love to hear from you.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. 

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.