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

Apply Now

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

Nationwide Building Society
Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Consultant/Senior Consultant - Data Governance

Consultant/Senior Consultant - Data Governance

Consultant/Senior Consultant - Data Governance

Data Strategy & Advisory Leader - Retail Banking

Senior Data Science Strategist - Featurespace

Data Strategy & Advisory Leader - Payments

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.

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.