KYC Controls & Data Insights Manager

ABOUT TIDE At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting. Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly Over $300 million raised in funding Over 2,500 Tideans globally - we’re diversity champions! We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg. ABOUT THE TEAM: This role sits within the KYC Policy function and is responsible for analysing KYC data in response to known or emerging risks, typologies, incidents, audit findings, 2LOD feedback, SAR feedback, fraud signals, or operational escalations. The role does not own end-to-end proactive typology detection or financial crime investigations. Instead, it supports KYC Policy by assessing how identified risks manifest in KYC onboarding and reKYC data, evaluating whether existing KYC controls are adequate, and recommending proportionate enhancements to KYC policies, procedures, rules, and control design. ABOUT THE ROLE: As a KYC Controls Data Insights Manager you will: Analyse KYC data in response to known typologies, incidents, SAR feedback, fraud intelligence, 2LOD findings, audit issues, or operational escalations Assess whether the typology is visible in KYC onboarding or reKYC data and identify the size, nature, and risk profile of the affected population Review whether current KYC controls are capable of detecting or mitigating the identified risk. This could include reviewing: Onboarding rules, IDV outcomes, Screening outcomes, KYB checks, SpDD (Specialised Due Diligence) triggers, Manual review outcomes, Rejection reasons , ReKYC (periodic review) outcomes Translate findings into practical recommendations, such as: New or amended onboarding rules, Refined SpDD triggers, Changes to manual review guidance, New data capture requirements, Adoption of new risk mitigating tools, Revised procedures or changes to KYC policy standards where needed Maintain and enhance existing feedback loop between KYC Policy and teams such as OM, SAR, Fraud, Risk, 2LOD, Product, and Engineering. Ensure that external signals are converted into clear KYC impact assessments and control recommendations Support Product and Engineering with requirements for implementing KYC control changes WHAT WE ARE LOOKING FOR: Proven experience in data analysis, pattern recognition, or control effectiveness assessment and working with large datasets, with SQL, Python, or similar tools, including Looker being a strong plus Proven experience in analysing known financial crime risks, typologies, or operational issues and translating findings into practical control improvements Strong background in: Financial crime, AML, fraud risk, or onboarding risk, KYC/KYB and onboarding controls, CDD, EDD/SpDD (Specialised Due Diligence), screening, IDV, and business verification processes Ability to translate analytical findings into practical control improvements, work cross functionally with Product, Engineering, and Compliance and explain complex data led findings clearly to non-technical audiences Strong understanding of: IDV processes and tools, for example Onfido, PostIdent, eID, or equivalent ... (truncated, view full listing at source)