Lead Product Analyst / Product Data Scientist, FinCrime/Fraud Location: Hybrid or Remote TBC Contract: 6 to 12 months, with a strong likelihood of extension Start: ASAP, before Christmas IR35: Determination to be confirmed Rate: TBC (depending on experience and IR35 status) The client A global fintech moving and managing money for millions of personal and business customers across international payments, cards and accounts. You’ll join the Financial Crime analytics function, which works out how to stop bad actors without adding friction for genuine customers. The role This is a product led analytics role, not a reporting one. You’ll sit with product managers, data scientists, engineers and operations in fraud and AML focused teams. You’ll find opportunities in the data, size them, and make the case for what the team should work on. The work is technical, but the impact on decisions matters just as much. You’ll be: <ul><li>Owning and tracking the key metrics for your product and operational teams, and keeping them accountable through the quarter</li><li>Balancing competing metrics, such as cutting fraud and financial crime while managing operational cost and customer friction</li><li>Scoping new opportunities and suggesting features, rules and models to tackle emerging risks</li><li>Working with Data Scientists/ Analytics Engineers to develop detection and mitigation approaches</li><li>Building your own data models and pipelines where needed to answer questions quickly, alongside an established analytics engineering team</li><li>Making data self-serve, so stakeholders can get insight without relying on an analyst</li><li>Influencing senior, domain expert stakeholders and backing your analysis with confidence</li></ul>Essential <ul><li>5 to 10 years’ experience in product analytics, data science or advanced analytics in a professional fraud setting</li><li>Hands-on exposure to financial crime or risk, in at least one of fraud, AML, sanctions and screening, KYC or KYB, transaction monitoring, or anomaly detection</li><li>Advanced SQL that you can write yourself: window functions, CTEs, complex joins, aggregations and query optimisation</li><li>Working fluency in Python</li><li>Practical experience with GenAI tools such as Claude Code or similar in your day to day workflow</li><li>Experience in a product environment where you found and sized problems yourself, rather than only delivering work handed to you</li><li>Strong communication, with the ability to turn complex analysis into clear recommendations</li><li>Data visualisation and storytelling with tools such as Looker, Tableau or Power BI</li><li>Hands-on experience with dbt and Airflow</li></ul>Preferred <ul><li>Other pipeline and orchestration tools such as Dagster or Prefect, or in-house equivalents, will also be considered</li><li>Experience building predictive models</li><li>A background in a fintech, neobank, payments business or product led tech company</li><li>A quantitative degree in maths, statistics, physics, engineering or similar</li></ul>

Product Data Analytics / Product Data Scientists - Fraud/FinCrime

Technical Data Governance Lead Reporting to the Chief Data & AI Officer | Key partners: CIO, CISO, BI, Legal & Privacy UK REMOTE | O/IR35 | 3-6M & Transfer to perm available About the company A global, private equity backed B2B software provider with an AI-powered platform used by enterprise customers in dozens of countries. The business is now applying AI to itself, building an autonomous enterprise where AI runs the processes and people focus on judgement, customers and growth. The role You’ll help the Chief Data & AI Officer shape the company’s data strategy, then build the governance capability that makes data trusted, secure and ready for AI. This is a technical, hands-on role, not a policy-writing or compliance-only position. You’ll move between strategy and roadmap, data standards with engineers, configuring governance tooling, and reviewing lineage and quality rules. What you’ll do <ul><li>Define the data strategy with the CDAIO, turn it into a prioritised roadmap, and report progress to leadership against clear measures</li><li>Set up the governance operating model: data domains, owners and stewards, decision rights and a lightweight governance council</li><li>Define technical data standards with the data, BI and integration teams, including modelling conventions, data contracts, classification, retention and access patterns</li><li>Build controls into the platform and pipelines (automated tagging, policy-based access, quality gates, lineage capture) rather than relying on manual review</li><li>Select, configure and run the governance toolchain: catalogue, glossary, lineage, data quality and access policy</li><li>Own the data catalogue, end-to-end lineage for critical data, and the data quality framework</li><li>Set the data requirements for AI use, covering approved sources, sensitive data handling and quality thresholds for models, retrieval and agents</li><li>Work with Security, Legal and Privacy to turn GDPR, data residency, customer data terms and the EU AI Act into classification rules, controls and assurance evidence</li><li>Maintain an inventory and classification of data across systems, including personal data, and act as the escalation point for data quality and protection incidents</li><li>Coach data owners and stewards, run governance forums, resolve disputes over definitions and ownership, and keep governance proportionate to risk</li></ul>Success in the first 6 months <ul><li>Data strategy and roadmap agreed and driving investment decisions</li><li>Priority domains have named owners and a working governance council</li><li>Critical data in priority domains is catalogued with sources, owners and lineage</li><li>Data quality is measured against baselines and targets, with issues routed to owners</li><li>Classification and access controls are enforced in the platform</li><li>AI data requirements are defined and applied</li><li>The CDAIO has one trusted view of governance coverage, quality and risk</li></ul>What we’re looking for <ul><li>8+ years in data governance, data management, data quality, metadata or data architecture, including leading an enterprise governance programme from design to operation</li><li>Hands-on technical depth: reading data models, writing SQL, reviewing pipeline designs, and discussing lineage and access controls credibly with engineers</li><li>Experience configuring and integrating governance tooling such as Collibra, Microsoft Purview, Unity Catalog, Ataccama or Informatica</li><li>Experience embedding governance in modern cloud data platforms through data contracts, automated classification and quality gates</li><li>Experience as architect of record for BI and data integration platforms (warehouse or lakehouse, ELT, APIs and event-based integration)</li><li>Working knowledge of GDPR and equivalent regulations, and of AI data governance, including requirements for LLM, retrieval and agent workloads</li><li>Proven ability to build ownership models and run governance forums in a complex organisation</li><li>Pragmatic, low ego and comfortable pushing back when data standards are at risk; able to “fly high and dive deep”</li><li>Software or fast-moving technology experience preferred; regulated industry or PE-backed experience is a plus</li><li>Certifications such as CDMP or DGSP are useful but not required; demonstrated delivery matters more</li></ul>

Data Management Architect

Cryptography Architect – Crypto & Post-Quantum 6-month contract September Start date Outside IR35 - Market rate Remote Working  - Open to Europe We are seeking an experienced Crypto & PQC Architect to lead a critical post-quantum cryptography readiness programme. This hands-on role will focus on deploying cryptographic inventory tools, discovering cryptographic assets and developing a comprehensive Crypto Bill of Materials (CBOM) across business-critical applications. This is a hands-on architecture role focused on assessing the organisation’s existing cryptographic landscape and establishing a clear roadmap towards quantum-resistant security. The initial priority will be to deploy crypto-inventory tooling and develop a comprehensive Crypto Bill of Materials (CBOM) across business-critical applications. The role will involve working closely with application owners, security teams and developers to identify where cryptography is used, assess associated risks and recommend appropriate remediation and migration strategies. Key responsibilities: <ul><li>Lead the technical delivery of the PQC-readiness programme.</li><li>Act as the subject-matter expert for cryptography, crypto-agility and quantum-resistant security.</li><li>Deploy, configure and manage cryptographic inventory and code-analysis tools.</li><li>Discover and document cryptographic algorithms, protocols, certificates, libraries and keys.</li><li>Develop and maintain detailed CBOMs for critical applications and platforms.</li><li>Review bespoke application source code where automated discovery tools are insufficient.</li><li>Use scripting to automate crypto discovery and inventory generation.</li><li>Assess current cryptographic implementations against emerging PQC standards.</li><li>Identify vulnerable, deprecated and non-PQC-compliant algorithms and dependencies.</li><li>Produce risk assessments, technical findings and remediation recommendations.</li><li>Support the development of a practical roadmap for migration to quantum-resistant cryptography.</li><li>Present findings clearly to both technical and non-technical stakeholders.</li></ul>Essential experience: <ul><li>Extensive experience in data security, cryptography or security architecture.</li><li>Strong knowledge of symmetric and asymmetric encryption, digital signatures, hashing, certificates and key management.</li><li>Good understanding of PQC algorithms, crypto-agility and NIST standardisation.</li><li>Previous experience with cryptographic discovery tools and CBOM creation.</li><li>Hands-on experience deploying enterprise security or source-code analysis solutions.</li><li>Ability to review source code and script using Python, Java or C#.</li><li>Strong consulting, stakeholder management and communication skills.</li></ul>Relevant security certifications such as CISSP, CISM or specialist cryptography qualifications would be advantageous.

Cryptography Architect – Crypto & Post-Quantum

Principal Product Manager, Payments (Contract) Hybrid, London Rate: ~£500 per day IR35: TBC Duration: 6-12 Months An established organisation is looking for a Principal Product Manager to lead a defined area of its business payments platform. The role sits within a product function that is maturing its ways of working. You will own strategy and delivery for your area, and you will help raise the standard of product practice across the wider business. This role suits a hands on product leader with genuine payments depth. You will need the credibility to make confident decisions quickly and to challenge delivery teams constructively. The role <ul><li>Define the product vision and strategy for your area of the payments platform, and contribute to wider business strategy</li><li>Own the roadmap and lead complex delivery programmes from direction through to execution</li><li>Identify and prioritise opportunities, balancing customer value and commercial return against feasibility and effort</li><li>Build commercially sound propositions with a clear link to business performance</li><li>Hold product teams to account by testing assumptions, estimates, scope and priorities so that commitments are realistic</li><li>Give senior stakeholders an evidence based view of delivery health, risk and priorities</li><li>Lead, coach and mentor product team members, and support hiring</li><li>Contribute to the evolution of the product operating model alongside the product leadership team</li></ul>What you will bring <ul><li>Senior product leadership experience gained directly within a payments, money movement or payments infrastructure business, such as embedded finance, payment rails, banking as a service or a money movement platform</li><li>Practical knowledge of how payments work, including payment flows, settlement and reconciliation, relevant regulation and the commercial drivers of a payments business</li><li>Ownership of a product roadmap for a defined product area, with strong commercial awareness of how product decisions affect the P&L. Direct P&L ownership is a plus</li><li>A track record of leading product teams and delivering complex programmes</li><li>Confidence working with stakeholders up to C suite level</li><li>The judgement to challenge proposals constructively and to test whether delivery plans are achievable</li><li>Substantial experience coaching and developing product people</li><li>The ability to get up to speed and add value quickly in a contract setting</li></ul>

Principal Product Manager

​Sergio joined as a Consultant sitting within our UK Contract team in 2021. He specialising in data roles recruitng for; Data analysts, Data Engineers, data scientists, insights and reporting consultants. He has since been promoted to Senior Consultant. 

Product Data Analytics / Product Data Scientists - Fraud/FinCrime

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Sergio Osman

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