Moniepoint
Senior Data Analyst - Fraud
Remote role where the employee must remain based in a particular country.
Portugal only
Employer listed it 6 days ago · Added 2 days ago
First listed 6 days ago and still open.
Salary
Not stated
Location
Portugal only
Timezone
CET ±2
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Portugal. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote, Portugal, Moniepoint Headquaters"
What Nomaders makes of it
- Residency required in Portugal
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Who We Are
Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.
As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
What you will get to do
Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response
Propose and refine rule-based mitigations, working with fraud operations and engineering to see them through to implementation
Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and key operational metrics
Work closely with fraud operations, data scientists, engineers, and product managers to ensure analytical insights translate into action
Proactively identify emerging patterns and flag risks before they escalate
To succeed in this role, you should have
Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments)
Strong problem solving skills
Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets
Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs
A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in
Some exposure to Python or scripting for data manipulation and analysis
Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
Strong stakeholder management skills; you can communicate findings clearly to fraud operations, product managers, engineers, and senior leadership — and you know how to influence decisions with data across all of them.
Comfort working in fast-paced, cross-functional teams where priorities shift quickly.
Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative)
Enjoy autonomy and a flat structure: we have millions of customers and a flat hierarchy so any individual can have an outsized impact
Excellent written and verbal communication skills
A drive to learn and master new technologies and techniques
Requirements
- ·Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets
- ·Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs
- ·A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in
- ·Some exposure to Python or scripting for data manipulation and analysis
- ·Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Moniepoint, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $145k to $210k per year · You'll be taken to the employer's careers page.