Payment Operations Senior Analyst at Wise

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

131000.0

Posted On

19 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Dbt, Data Pipelines, Quantitative Analysis, Data Visualization, Looker, PowerBI, Tableau, Python, Product Thinking, Stakeholder Management, Storytelling with Data, Quality Assurance, Operational Analytics, Complex Data Modeling, AI Integration

Industry

Financial Services

Description

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description THE ROLE We are looking for a Senior Payment Operations Analyst who is passionate about our mission of Money Without Borders. You will partner with our Payment Operations organisation to help drive data-driven decisions that would improve the quality of our payment systems, making them smoother and more efficient. The Payment Operations organisation is responsible for ensuring that our customers’ payments flow smoothly. The organisation focuses on resolving issues surrounding the movement of funds, to deliver a fast and convenient payment experience for our customers. As a Senior Payment Operations Analyst, you will be driving our analytics effort to strengthen our quality assurance and control processes. You will identify how we can evaluate if payment processing flows are done right, and if not, what went wrong with them. You will own an attribution model to quality lapses, and work with other teams to improve the quality of payment processing. You will also be incorporating AI in your work, using AI to improve the quality review process. This is a great opportunity for an analyst that has strong product thinking and is passionate about creating convincing analyses. It also allows you to work alongside the current developments in AI. You will also be part of a wider team of 150+ analysts that you can collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise. This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here. WHAT YOU’LL BE DOING Collaborate with various senior stakeholders in the organisation and effectively communicate your insights into real change for our customers. Join us in working towards our mission. Support the organisation’s drive to improve the quality of its processes by identifying payment flows that have met quality standards, and if not, identify the reasons for failing quality standards. Proactively contribute to, own, create and track key metrics and results for the organisation, keeping them accountable throughout the quarter. For example, understanding team quality KPIs and how each process intervention improves the organisation’s quality scores. Expose the vast amount of data available to the organisation in a meaningful and actionable way and support other teams in discovering insights from data. Support your team and the organisation by building and maintaining data pipelines, preparing reports, and creating visualisations. Qualifications WHAT YOU’LL BRING You have experience with SQL, dbt (ideally) and building data pipelines. You are comfortable working with complex data models and are able to independently design and implement new models. You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand and that drives customer impact. You have an ability to structure business problems with minimal supervision and prioritise problems collaboratively with stakeholders. You take ownership of your own impact on our customers. Be proactive. You go beyond just the analysis and get things done. You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data. NICE TO HAVE BUT NOT ESSENTIAL Fintech experience, specifically in the payments space (domestic, cross-border, cards, etc) Experience working in quality assurance/control analytics or operational analytics Experience with user-facing products and data Python Additional Information For everyone, everywhere. We are people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We are proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. Compensation: SGD 101000 - SGD 131000 - yearly

Responsibilities

Drive data-driven decisions to improve payment system quality and efficiency by identifying processing lapses and creating attribution models. Collaborate with stakeholders to build data pipelines, track key quality KPIs, and incorporate AI into the quality review process.