Senior Product Analyst - Payment Operations

Posted Yesterday
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Singapore, SGP
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Drive analytics for Payment Operations to improve payment quality and efficiency. Own attribution models for quality lapses, build and maintain data pipelines, create reports and visualisations, partner with stakeholders to convert insights into operational improvements, and incorporate AI into review processes.
Summary Generated by Built In
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.

Skills Required

  • Experience with SQL
  • Experience building data pipelines
  • Comfortable working with complex data models and designing new models
  • Experience with dbt
  • Strong quantitative background (statistics, mathematics, physics, engineering, analytics, computing, or similar)
  • Strong communication and storytelling skills to translate insights into business impact
  • Ability to structure business problems, prioritise with stakeholders, and take ownership
  • Experience with data visualisation tools (Looker, PowerBI, Tableau etc.)
  • Experience in fintech/payments
  • Experience with quality assurance/control or operational analytics
  • Experience with user-facing product analytics
  • Python

What the Team is Saying

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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