Risk Data Analyst

Do you enjoy identifying trends to spot potential fraud risk areas? Are you detail oriented and analytical in your approach? Read on to hear more about our Risk Analyst role!

The Company

Triggerise believes in a world where all youth have the power to choose where, when, and how they meet their sexual reproductive health needs. Our digital platform delivers scalable and verifiable sexual reproductive health services for young people in 5 main markets in Sub Saharan Africa - Kenya, Ethiopia, Uganda, South Africa and Burkina Faso. We work together with local communities and use nudges like reminders, discounts, and reward points to encourage our users to access and use sexual and reproductive health services. We also support our users in becoming micro-entrepreneurs and adding value to their economies.

Triggerise has offices in South Africa, Kenya, Ethiopia, the Netherlands and Portugal. Globally, our team consists of 160 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly. You can learn more about what being part of Triggerise is like here.

The Job

As a Risk Data Analyst, you will be responsible for utilizing data analysis to identify and evaluate potential risks/fraud on the platform. You will use your expertise in statistics, data analysis, and programming to develop and maintain risk models/flags and dashboards. In this role, you will work closely with cross-functional teams to understand business needs and develop data-driven solutions to identify, mitigate, and monitor risk & fraud. You do this by:

• Analysis of  large datasets to identify patterns and trends.
• Collaborating with cross-functional teams to understand business needs and develop data-driven solutions.
• Managing data from other sources, some of which cannot be captured on our platform.
• Communicating findings and recommendations to non-technical stakeholders.
• Continuously monitoring and updating risk models/flags to ensure they remain accurate and relevant.
• Creating visualizations and reports to effectively communicate results.
• Keeping up-to-date with new developments in data science and risk management to continuously improve processes and methodologies.

About you

You think logically and come up with practical solutions in order to solve issues.  You have an eye for the smaller details, and ensure that tasks are followed up in a timely manner. You're a problem solver and can work well independently.

Requirements

• Bachelor's degree in a related field (e.g. statistics, mathematics, computer science).
• A minimum of 2-3 years of professional experience in a data analytics role.
• Proficient in data visualization and reporting using tools such as Tableau.
• Experience with R (or Python) programming language and relevant packages is desirable.
• Familiarity with machine learning and predictive modeling.
• Strong communication skills to clearly present findings and recommendations to non-technical stakeholders.
• Strong problem-solving skills and ability to think critically.

The Rewards

At Triggerise we believe in being open, also when it comes to salaries. The monthly salary bracket for this position is €1,108 - €1,663 in Ethiopia and KSH 152,680 - KSH 229,020 in Kenya, plus benefits. We will offer you a salary in this bracket depending on your level of experience and how it relates to your future colleagues.

In addition to your monthly salary, we offer you:

• Medical insurance
• Retirement fund
• Accident Insurance
• A personal development budget.
• Unlimited holidays, if you can make it work with your team you’re good to go.
• Growth opportunities.
• A product to help shape as we grow, to leave your mark on how we do things.
• A vision that we trust that you will do your job without us having to invent unnecessary rules and regulations.

The Details

Interested? Apply now below! Want more information? Check out our website or contact our Global Recruiter. We only accept applications through the apply links, not by email.