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Be ready to discuss end-to-end data pipelines, how you validate warehouse accuracy, mapping messy sources into clean marts, and standards you set for models and nomenclature. Tie examples to payment volumes, FX, and multi-product reporting at a company like Wise.
Strong fit if you enjoy senior analytics ownership in regulated fintech: trustworthy data models, clear metrics for money movement and business finance, and London-based collaboration with product and engineering.
As Senior Analytics Manager at Wise, you would lead analytics that support cross-border payments and finance products. Typical work includes defining data models and warehouse flows, checking data quality, mapping sources into warehouses or marts, and setting standards for architectures and tools so product, ops, and finance teams can trust metrics.
Build depth in warehouse design, ETL, data quality, and stakeholder metrics. Free upskilling:
It is a London-headquartered fintech for global transfers and business finance products (Account, Business, Platform), founded in 2011.
The listing is for London, UK, and is not marked remote.
Saylor Business & Management courses and Google Project Management intro resources are listed as free.
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Website: wise.com
Wise, formerly known as Transfer Wise, is an Estonian-British financial technology company focused on global money transfers and Business Finance. Headquartered in London, it was founded by Kristo Käärmann and Taavet Hinrikus in January 2011. As of 2023, it offers three main products: Wise Account, Wise Business, and Wise Platform.
Public cache only — not an employee review.
Senior Analytics Manager - Credit Position Summary Wise, a global technology company, is seeking a Senior Analytics Manager to join their team in London, UK. This full-time position focuses on enhancing credit analytics within the company's mission to revolutionize international money transfers. What You'll Do Lead and manage a team of analysts dedicated to delivering high-quality insights into credit risk management. Analyze large datasets to identify trends, patterns, and risks associated with credit transactions. Develop predictive models for assessing customer behavior and financial health. Create reports and dashboards to communicate findings and recommendations to stakeholders. Collaborate with cross-functional teams including product development, risk management, and compliance to ensure data-driven decision-making. What You Bring A minimum of 5 years’ experience in analytics or a related field, preferably within the financial services industry. Demonstrated ability to lead teams and mentor junior analysts. Strong proficiency with data analysis tools such as SQL, Python, R, and Tableau. Excellent problem-solving skills and an analytical mindset. Experience in credit risk assessment or similar financial analytics roles is highly desirable. About Wise Wise aims to simplify international money transfers by offering low fees, ease of use, and fast transaction speeds. The company supports individuals and businesses worldwide with innovative solutions for sending, spending, and receiving payments across borders. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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