About the role
Youâll help us build the next generation of systems that help us run multi region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime manifesting throughout a customers lifecycle. Youâll be embedded in one of our product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.
What youâll do
Work on the fincrime analytics â3 body problemsâ of risk, friction and cost
Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction and operational costs
Size opportunities, model impact on volume/cost/risk, and evaluate control changes and operational experiments.Quantify why documents are rejected and the effectiveness of recovery prompts
Help design scalable platforms
This is a team about building sustainable, long term foundations
This isnât about short term growth hacking - youâll help build a long lasting platform
Embody a data-as-a-product mentality
Work with engineers to build well instrumented systems that allow us to understand end to end performance
Define and maintain sourceâofâtruth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
Build selfâserve data assets and documentation so stakeholders can answer common questions independently
Stakeholder partnership
Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, tradeâoffs and recommendations.
Shape the âwhat nextâ for product outcomes
This is a Lead Analyst role. For more information on our Analytics Career Map and levelling structure, click here