Description
We are seeking a Lead Payment Operations Analyst to join our team. As a Lead Payment Operations Analyst, you will partner with our Payment Operations organisation to help drive data-driven decisions that evaluate the current risks the organisation faces, interpret risk appetite, and monitor and control for these risks.
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.
Responsibilities:
- Collaborate with various senior stakeholders in the organisation and effectively communicate your insights into real change for our customers.
- 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.
- Work with internal and external auditors, risk partners, and stakeholders to test the effectiveness of existing controls.
- 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.
Qualifications:
- Experience with SQL and building data pipelines (dbt experience is preferable).
- Strong quantitative skills, ideally with a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific area.
- Strong communication skills and the ability to translate business insights into persuasive analytical narratives.
- Ability to structure business problems with minimal supervision and prioritise problems collaboratively with stakeholders.
- Proactive and able to get things done.
- Experience with data visualisation tools (Looker, PowerBI, Tableau, etc.).
Nice to Have:
- Fintech experience, specifically in the payments space.
- Experience working in risk analytics, control assurance, or operational analytics.
- Experience with user-facing products and data.
- Python