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

Apply Now

Senior MI & Data Analyst (AML)

Coventry Building Society
London
1 day ago
Create job alert

Effective Economic Crime Risk Management is underpinned by our capacity to interpret and analyse the information and data held in relation to our customers, products and services. Our 2LOD Economic Crime Compliance team are looking for an experienced Senior MI & Data Analyst (AML) to support and enable our proactive approach to Economic Crime Risk Management.

This role will help deliver the Group's Economic Crime risk assessments as well as help ensure that risks typologies are identified, escalated to Senior Management and managed within appetite.

The successful candidate will work closely with business functions, external suppliers levering the Group's data and business intelligence to generate Economic Crime risk insights and ensure that appropriate controls are implemented to mitigate risks.

Benefits:

28 days holiday a year plus bank holidays and a holiday buy/sell scheme
Annual discretionary bonus scheme
Personal pension with matched contributions
Maternity, paternity and shared parental leave
Extensive wellbeing support
Life assurance (6 times annual salary)
Find out more about the fantastic benefits of joining Coventry Building Society here

This role can operate from either our Head Office campus in Binley, Coventry or our Manchester office but as a Group role, travel to both locations will occasionally may be required. A team-led hybrid working arrangement is in place.

About you

You'll have a good understanding across all Economic Crime risks (AML, fraud, sanctions) to ensure typologies are detected and quantified. You'll also have knowledge of Economic Crime regulation and legislation. Equally important, is your ability to interpret, analyse and present risk and control data

Essential:

Experience of Economic Crime risks and typologies,
The ability to identify risks and trends using data, before making recommendations and overseeing the timely completion of actions to mitigate / limit their impact.
Knowledge of Excel, SQL and Power BI
Communication and presentation skills with the ability to convey complex ideas simply and tell the story through data
Experience of data analytics supporting the Economic Crime Risk Assessment process.
Preferred but not essential:

Supporting the data aggregation and interpretation supporting the Economic Crime Risk Assessment process.
2nd LOD experience
Expertise in writing freehand SQL (or similar) and data modelling software
History of working effectively alongside 1LOD (support, as well as check and challenge)
About us

We're one of the largest building societies in the UK and we share a mutual goal across our branches and our offices to improve the lives of others.

We're officially recognised as a 'Great Place to Work' and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing.

At the beginning of the year, The Co-operative Bank officially became part of our Group. Together, we have shared values and an ethical approach towards our members, customers, and colleagues.

We're serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know you'll build more than just a career with us.

All together, better.

Flexibility and why it matters

We understand the need for flexibility, so wherever possible, we'll consider alternative working patterns. Have a chat with us before you apply to see what the possibilities are for this role.

Proud to be a Disability Confident Committed Employer

We're proud to offer an interview or assessment to every disabled applicant who meet the minimum criteria for our vacancies. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, such as when we receive a high number of applications, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria.

Location

Coventry
TPBN1_UKTJ

Related Jobs

View all jobs

Senior MI & Data Analyst (AML)

Senior MI & Data Analyst (AML)

Senior Data Analyst - Chelmsford

HR Data Analyst

HR Data Analyst

Data Analyst

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.