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

Nationwide Building Society
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Financial Crime Analytics Senior Consultant - Data Analytics

Financial Advisory Data Analyst

Senior Data Scientist

Financial Crime Data Analytics Specialist (Flexible/Remote)

Senior Data Engineer - GFT Halifax

Data analyst

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

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

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.