Senior MI & Data Analyst (AML)

Coventry Building Society
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior MI and Data Analyst

Senior MI and Data Analyst

Senior MI and Data Analyst

Senior MI & Data Analytics Lead – Insurance Insights

Senior MI & Data Analytics Lead – Insurance Insights

Senior Insurance MI & Data Analytics Lead

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

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 Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

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

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.