National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Financial Crime Analytics Consultant - SQL(30/01/2025)

Nationwide Building Society
Bristol
5 months ago
Applications closed

Related Jobs

View all jobs

Data Governance Analyst - Vice President

Ethics & Compliance Analyst

Senior Risk Data Analyst - Fincrime & Fraud Monitoring

Data Scientist (AML)

Senior Data Science Analyst

Financial Controller

The Innovative Analytics team within Financial Crime(FC) Analytics looks at innovating Economic Crime processes usingdata, technology and streamlining methodologies. The team’s remitspans across all areas of AML, including the Economic CrimeOperations, Transaction Monitoring, Screening, Reporting andCustomer Risk Assessment. A big part of the role will be workingwith newly established electronic Identification and Verification(eID&V) technologies, with a focus on the testing andvalidation of scorecards, rules, and configurations. The work willbe project-based, and successful applicants will have a mix ofstrong technical, problem solving, and change managementskills.During a period of change and evolution, we see it asessential to have the right mindset and attitude, so we are lookingfor someone who enjoys challenges and remains positive whilstnavigating through them. The ideal candidate can work proactivelyand independently, whilst leveraging the expertise and knowledge ofother stakeholders, and spot opportunities by understanding thedata, systems, and technologies at their disposal. They will needthe confidence to then develop, deliver and document theseopportunities, tracking benefits and managing BAU support.AtNationwide we offer hybrid working wherever possible. Morerewarding relationships are supported through our hybrid approach,bringing colleagues together across our UK wide estate, whilst alsosupporting generous access to home working. We value our time inthe office to solve problems, to learn, and to feel connected.Forthis job youll spend at least two days per week, or if part timeyoull spend 40% of your working time, based at either our Swindonor London office. If your application is successful, your hiringmanager will provide further details on how this works. You canalso find out more about our approach to hybrid working here.Whatyoull be doingPerform reviews of the eID&V scorecards, ensuringthey are effectively implemented, and integrate them with other FCcontrols.Liaise with Financial Crime stakeholders to identifyefficiency and effectiveness use cases and connect these withavailable innovative software for relevant use.Identify emergingand other innovative technology solutions to continually improvefunctional, reporting, intelligence, and analyticscapabilities.Support the development of business cases to driveforward change alongside relevant documentation within governanceframeworks.Working alongside data quality and governancespecialists to maximise the use of internal and external data, aswell as how to monitor and enhance, where possible.Monitor areas ofinnovation in the financial services industry for proactivefinancial crime risk identification and ascertain suitability forimplementation.About youThis is a highly analytical role, andprolific SQL and data analytics skills are a must.Strong problemsolving skills with the ability to methodologically and proactivelyhandle open-ended business challengesWorking knowledge andunderstanding of financial crimes systems including KYC, Sanctions,Transaction Monitoring, and Analytics. Experience with eID&V orCredit Reference Bureaus is desirable but not required.Knowledge ofdata structures associated with financial crimesProventechnical/analytical skills in a relevant roleA questioning mindset– a key part of this role will be leading activity focused onunderstanding current activities and then working with the businessto identify how to improve and put in place plans to help themembed this.Experience of standardising developmentapproaches.Collaborative, with strong interpersonal communicationskills.Detail-oriented, with the ability to summarise for seniorstakeholders.Experience in some of the following technologies: SAS,SQL, Databricks, Python, Power platformOur Customer Firstbehaviours are all about putting customers and members at the heartof how we work together. You can strengthen your application byshowing the behaviours that resonate with you, and how you mighthave already demonstrated these.Say it straight - This is aboutbeing honest and direct with good intent and saying what needs tobe said in the room. It’s also about being clear, precise, andusing language that we and, importantly, our customers and memberscan understand.Push for better - This is about aiming high andconstantly looking for better in how we work together and serve ourcustomers and members.Get it done - This is about prioritising whatwill have the greatest impact, being decisive and takingaccountability for delivering on the end-to-end outcome.We knowapplying for jobs can sometimes feel like you’re sending anapplication into a black hole. We review each applicationindividually. So, it’s a good idea to call out your most relevantexperience on your application to give yourself the best chance.Theextras youll getThere are all sorts of employee benefits availableat Nationwide, including:A personal pension – if you put in 7% ofyour salary, we’ll top up by a further 16%Up to 2 days of paidvolunteering a yearLife assurance worth 8x your salaryA greatselection of additional benefits through our salary sacrificeschemeWellhub – Access to a range of free and paid options forhealth and wellness.Access to an annual performance relatedbonusAccess to training to help you develop and progress yourcareer25 days holiday, pro rata

National AI Awards 2025

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 UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.