Lead Analyst - Payment Operations Risk

We are looking for a Lead 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 evaluate the current risks the organisation faces, interpret risk appetite and monitor and control for these risks.

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 Lead Payment Operations Analyst, you will be driving our analytics effort to strengthen our risk frameworks. You will own the analytics strategy and models behind our Key Risk Indicator framework, design risk thresholds that support the organisation’s risk appetite and build control assurance models around our risky payment processing flows. You will also own the data behind the reconciliation of bank balances and customer funds to ensure that there are no material financial discrepancies. You will own the relationship with our Risk partners in the organisation..

This is a great opportunity for an analyst who has a keen understanding of risks, strong product thinking and is passionate about creating convincing analyses. 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 IC3 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 stay ahead of potential risks by proactively identifying them, analysing the impact of these risks and proposing appropriate risk metrics to monitor and eventually manage these risks.

• Proactively contribute to, own, create and track key metrics and results for the organisation, keeping them accountable throughout the quarter. For example, understanding each Key Risk Indicator and what the organisation can do to manage each of these risks.

• Work with internal and external auditors, risk partners and stakeholders to test the effectiveness of existing controls. Be comfortable with communicating with multiple stakeholders, and helping them be assured, through data, of how these controls have worked.

• Play a pivotal role in the prevention of financial losses and staying compliant through proactive identification of emerging data trends and insights.

• Support the organisation by building and maintaining high quality data pipelines, preparing accurate reports, creating visualisations and delivering engaging presentations. Enable the organisation to discover insights from data by exposing it in a meaningful and actionable way.

• You have experience with SQL and building data pipelines (dbt experience is preferable). You are confident 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 risk analytics, control assurance or operational analytics

• Experience with user-facing products and data

• Python

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.

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