> Markdown version of [/jobs/ext/2454984-senior-analyst-wise-platform-fincrime](https://www.wearedevelopers.com/jobs/ext/2454984-senior-analyst-wise-platform-fincrime). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analyst - Wise Platform - Fincrime - **Company:** Wise Australia Investments - **Location:** London, UK - **Experience:** Expert - **Salary:** £60,000.0 - £85,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Data Transformation, Python (Programming Language), SQL Databases, Transaction Data, Snowflake, Git, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=554022985f4a0cb8 ## About the Role You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights. You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen! You are an excellent communicator, able to form your own opinions and effectively articulate them to influence key stakeholders. You should also be comfortable writing and maintaining clear and concise documentation and analysis. You're an expert at crafting dashboards and visualisations that bring data to life, tell a story and have diagnostic power - even better if you've got experience doing this in Lightdash/Superset. You are commercially minded. You are comfortable with opportunity sizing, have solid experience forecasting and scenario modelling. NICE TO HAVE BUT NOT ESSENTIAL Experience working with payments or transaction data. Experience working with financial crime data (Fraud, Screening, AML) ## Description We're looking for a Senior Analyst to spearhead the way we identify, manage and mitigate risks in Wise Platform. As we continue to scale our products to more enterprise partners, we're continuously investing in new controls, processes and capabilities to keep our enterprise products safe, compliant and fit-for-the-future. This role will be focussed on proactively identifying compliance gaps, creating transaction monitoring rules to identify suspicious activity, and building out reporting that demonstrates our effectiveness in preventing financial crime. To achieve this, you will partner with Product, Product Compliance, Fincrime (Fraud, Screening and AML), KYC, and Business Operations teams to proactively identify and mitigate new and emerging risks. WHAT YOU'LL BE DOING You will conduct exploratory data analysis to inform, develop and fine tune our controls, maximising their effectiveness and precision to detect and prevent suspicious activity occurring on our platform. You will set up standardised processes for tuning the thresholds of our transaction monitoring rules, to ensure they are sufficiently accurate whilst not overburdening our Operations teams. You will work closely with our Partner Risk Monitoring (PRM) team to ensure they have the tools they need to monitor emerging partner risks and ensure that all partner activity is within our risk appetite You will contribute to our Financial Crime reporting and analysis in Wise Platform, defining and maintaining Fincrime KRIs, performing deep dives and making recommendations to enable us to effectively monitor and mitigate partner risks. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)