Data Analyst - Fraud

Democrance; Portugal; Presencial; EUR 40 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Annual bonus

Pension

Learning & development

Resumo da oferta

Moniepoint is seeking a Data Analyst (Fraud) to join our data analytics team in Portugal. You will investigate fraud events, quantify impact, and deliver insights that shape risk mitigation.

You will work closely with fraud operations, data scientists, engineers, and product managers to translate analytics into actionable controls. Strong SQL, Python, and BI tool skills are essential to succeed.

Qualificações

• Proven experience as a Data Analyst (Fraud) or similar role (4+ years).
• Strong problem solving and analytical skills.
• Advanced SQL queries across large datasets.
• Experience with fraud, risk, or financial services.

Responsabilidades

• Investigate fraud attacks, quantify impact, and present findings.
• Develop rule-based mitigations with fraud ops and engineering.
• Build and maintain dashboards to monitor fraud trends.
• Collaborate with fraud ops, data scientists, engineers, product managers.
• Identify emerging patterns and flag risks early.

Conhecimentos

SQL proficiency

Python or scripting

Fraud domain knowledge

Data storytelling

Stakeholder communication

Formação académica

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering

Ferramentas

PowerBI

Looker

Tableau

Superset

Redash

Descrição da oferta de emprego

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.

Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria.

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 escalated

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
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

• Data governance
• Python or any other scripting language
• Git or any other version control tool

What we can offer you

• Culture - We put our people first and prioritise the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter.
• Technical take-home task (SQL test).
• Technical Interview with hiring manager.
• A behavioural interview with the Head of Data Analytics/Science and Fraud Team.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.